June 29, 2026

AI Every Where

AI Every Where
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Season 2

AI Everywhere is a podcast about how artificial intelligence is reshaping our world one industry, one idea, and one conversation at a time. We explore how AI is transforming the way we live, work, and create. From business and technology to education, healthcare, and everyday life, we explore the trends, tools, and ideas shaping our AI-powered world. What comes next? AI is no longer confined to labs and tech companies, it’s everywhere. We must examine the impact of AI opportunities and risks,

ASharpe Outlook is broadcast live Mondays at 8AM PT on K4HD Radio - Hollywood Talk Radio (www.k4hd.com) part of Talk 4 Radio (www.talk4radio.com) on the Talk 4 Media Network (www.talk4media.com). ASharpe Outlook TV Show is viewed on Talk 4 TV (www.talk4tv.com).

ASharpe Outlook Podcast is also available on Talk 4 Media (www.talk4media.com), Talk 4 Podcasting (www.talk4podcasting.com), iHeartRadio, Amazon Music, Pandora, Spotify, Audible, and over 100 other podcast outlets.

Become a supporter of this podcast: https://www.spreaker.com/podcast/asharpe-outlook--6643730/support.

WEBVTT

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This program is designed to provide general information with regards

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to the subject matters covered. This information is given with

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the understanding that neither the hosts, guests, sponsors, or station

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are engaged in rendering any specific and personal medical, financial, legal, counseling,

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professional service, or any advice. You should seek the services

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of competent professionals before applying or trying any suggested ideas.

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Hello, and thank you for tuning in to a Sharp

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Outlook on pay for HD Radio and Talk for TV.

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I am Angela Sharp, your host. I'll arm to your

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discussions with industry experts will give you the steps, tools

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and information to be successful in business and to prepare

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you to be your best self. Hello, I'm Angela Sharp,

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and I'm so glad you're joining me today on a

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Sharp Outlook. Today, I want to talk about something everybody's

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talking about. AI. AI is everywhere, Yes, it is. You know.

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Artificial intelligence is reshaping our world, one industry, one idea,

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and one conversation at a time, from exploring and transforming

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the way we live, work, and create, from business and

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technology to education, healthcare and everyday life. Today we will

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explore the trends, the tools, the ideas about artificial intelligence

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and how it's shaping our world, and how is AI

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changing industries, sparking creativity and reshaping daily life. And when

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you think about that reshaping daily life, what comes next?

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Official intelligence is no longer confined to labs and tech companies.

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It's everywhere. We must examine the impact of AI across society,

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unpacking the opportunities, but the risk and innovations, redefining how

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we think, work and connect. Yes, we're going to talk

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about AI everywhere, and let's be honest. AI is everywhere now.

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Is in our phones, is in our workplace, it's in

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our apps, It's in practically everything we use every day.

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And that's why so many people are excited about AI.

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They're wanting to learn how to use it, they're wanting

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to use it everywhere, They're wanting to give it more autonomy.

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AI can save time, automate repetitive task and help people

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make better decisions faster. Not make the decisions for you,

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just help you make decisions faster because it provides data

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and information for you to be able to go in

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and review and to analyze and to come up with

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the best decisions that include humanity in healthcare, for example,

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AI can help doctors spot diseases earlier, but it doesn't

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mean that it should be the one that decides completely

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what the treatment plan should be, because we still need

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to think about the human side of all of our transactions,

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all of our services, all of our businesses. There is

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a human side. AI is not human, please keep that

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in mind. And for regular people it can help with writing, planning, learning,

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and even creativity. In fact, there's so much creativity with

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AI right now out in social media. Can you tell

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the difference? I mean, can you really tell the difference?

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We have to think about that. That's one of the

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biggest benefits is efficiency and AI can take care of

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routine work so people can focus on the parts that

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require judgment, empathy, human connection. But at the same time,

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that's also where the concern comes in. If AI can

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do more task, what happens to jobs, We're going to

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talk about that. That's a major risk. Some jobs may

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change drastically, dramatically, and some roles may disappear. History shows

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technology creates new opportunities too, but the transition can still

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be painful for workers and businesses and communities. And it's

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not just jobs. There's also the issue of bias. I'm

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from the tech industry, and I remember when personal computers

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first started entering our workforce and a lot of the

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processes were changed and jobs were changed, and some people

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lost jobs because of the efficiency. Some people gain jobs

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because someone needed to help program all of this new technology.

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Someone needed to be able to design reports because it

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only has as much information and it was given, but

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more information was required. So it has opportunities of creating

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great jobs, and it has opportunity of making things efficient

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and faster. I certainly agree with utilizing AI in business

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areas where you're using it for you routine task, but

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I am concerned about the issue of bias. AI systems

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learn from data, and if that data reflects human prejudice

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and inequality, the AI can repeat or even amplify those problems.

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An AI tool might seem neutral, but it is trained

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on flawed information. Its decisions can be unfair, especially in

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areas like hiring, lending, education, or criminal justice. Then there's privacy.

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AI depends on massive amount of data, and that raises

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the big question about who collects that data, how is

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it used, and whether people really have control over their

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own information and misinformation. Well, my goodness, we already know

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what that's all about. Is another huge challenge. AI can

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generate realists, realistic I mean realistic tech, images, audio video,

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and that's where we come into some major issues, some risk,

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some problems that we really need to talk about. It's powerful,

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but it also makes it easier to create, to create

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fake content and spread confusion. So in a way, AI

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is both promising and disruptive. It can improve productivity, expand

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access to knowledge, and support innovation, but it can also

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create economic, ethical, and social risk. And even if it's

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not managed carefully, are we actually identifying who's creating the

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data that is being fed to the AI? Have we

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thoroughly done background checks or are we just finding someone

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that you're placing in there because they're cheaper than another technician.

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What are we actually really creating here and how are

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we going to handle it? So, in a way, AI

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is both promising disruptive. It can improve productivity, expand access

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to knowledge, and support innovation, but it can also create economic, ethical,

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and social risk. It is not managed if is not

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managed carefully, and this is what we need to really

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think about. AI itself isn't simply good or bad. Its

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impact depends on how people design it, how they regulate it,

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and how they use it. And by the way, where

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are the laws about how AI is going to be

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used and regulated and monitored to make sure that it

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is safe to use and it doesn't create misinformation and

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it doesn't continuously hallucinate. That means the conversation shouldn't be

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what can I what can AI do? But also what

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should AI do? Hmmm, I haven't been hearing those kind

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of questions, so I'm throwing it out there, just something

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to think about. What should AI do and what should

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AI not ever do? Who is accountable when something goes wrong?

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What should not be given to AI? The future of

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AI should involve not just engineers and companies, but also teachers, workers, policymakers, researchers.

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Everyday users should be tested, thoroughly tested to see whether

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or not misinformation has been placed in it or bias

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has been and prejudices have been placed into it. Because

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if AI is going to shape society, and society should

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have a voice in shaping AI. There should be committees,

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committees that are discussing what AI can and cannot do,

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Committees that have oversight over specific AI is used in

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specific industries, specific places like communication, like communications over our airwaves. Yes,

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we have a humongous amount of misinformation out there and

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it's just going to be on steroids the more we

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utilize AI. And the question is why would we want

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misinformation in the first place? When did the truth not

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become the best reliable source of anything and everything in

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the world? What is wrong with truth? Hmm? I know what.

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You can't manipulate truth. You can manipulate data that has

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been developed for specific purpose and has one goal totally,

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and that is to confuse and to feed its audience misinformation.

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And then they go out and continue to spread misinformation,

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and before we know it, we have a battle going

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on as to what is the truth. There should be regulations.

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If it is not something that is fully thoroughly documented

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from the beginning of time, then it's not the truth.

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Let's start dealing with truth and maybe we can utilize

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this tool so that it benefits everyone in society. The

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future of AI should involve not just engineers like I mentioned,

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but where are our policymakers. I have not heard anything

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going on on Capitol Hill about reviewing what's happening with

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the design and development of the AI. What regulations and

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rules should be in place. Yes, as far as making decisions,

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we do feed it regulations and laws and different things

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like that so that when you're managing your business, you're

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going to be in compliance with all of the regulations

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and requirements of your reporting, of your managing, of your

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tax preparation, everything, so that you can pass audits. At

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least it's supposed to be doing that. I'm hoping they're

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continuing to do that as they're developing and feeding it

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the proper regulatory information. But there's just so much more

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that's going on to shape our society. And so because

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it's shape and society, I think there should be committees.

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There should be organizations or groups of people with the knowledge,

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the basic knowledge of what that industry is that this

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AI happens to be providing information for. Then you should

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have a committee to oversee that the information that is

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provided is accurate, it is truthful, it is documented, and

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it cannot be manipulated with misinformation that causes nothing but confusion.

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And let's just call them. It's I'm tired of saying

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that we're misinformation. Misinformation. Some of this is not accidental,

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it's on purpose. Those are lies and why would we

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market lies? Why are we wanting our AI to market lies?

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We have to have rules and regulations because everyone is

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not going to utilize this tool correctly, So that's what

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you have regulations for. AI brings real benefits though, faster

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decision making, automation of repetitive task like processing payments to

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a vendor or processing invoices to a customer so that

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payments can be processed, going in and running tax information

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so that it can be processed, going in and helping

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to write documents, letters, SOPs. We all know how you

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love the right those policies. AI can assist in writing

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these policies, but a person has to be involved and

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make sure that AI is writing the policies that are

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specific for your organization, but is in line with the

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regulatory requirements that causes the policy in the first place.

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It helps to support medicine education research. As I said before,

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it increases creativity and productivity, but also causes job disruption, bias,

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and unfair outcomes. There's privacy concerns. Where is it getting

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this information? Where is it? What is the source, who

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is providing it, what departments are providing it, What are

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the requirements for those working in that particular department. Privacy

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concerns are a real thing and we all should be

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thinking about that as this continues to be developed. Misinformation

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and deep fakes are out there and it's just going

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to get worse if we don't demand better. Over Reliance

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on automated automated systems can also become a problem because

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then you become so reliant on what AI is doing

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that you don't bother to double check. When the when

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the when the personal computers first came out, the one

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thing we did all the time was get out our

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little calculators, get our little paper out there, and put

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get our little charts together, and we double check to

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make sure that it came up with the right answer.

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And it's so interesting because I know, when I'm going

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out to review information for a client or I'm looking

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at different things, i still see a tremendous amount of

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errors and I'm like, how did this hope happen? Well,

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you know, I just put it in the computer blah

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blah blah blah blah, And I'm like, okay, at the

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end of that blog, did you double check it? Well,

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why would I? It's supposed to it's supposed to process

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information that it's only processing what was put into it.

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So if there's some data in there that's not correct,

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guess what, your answer is not going to be right.

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So you have to know that it is performing the

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services that you expected and check it at the end

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of the process to make sure it accurately performed it.

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You just can't turn on a machine and say go

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for it. You have to know what the answer is

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supposed to be, double check it, and then you clear it.

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So there needs to be oversight. There needs to be

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someone who's reviewing, a human that is reviewing this information

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to make certain that it is processing your systems correctly

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and the data in your systems it can hallucinate. It's

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all based on who designed it. What if the designers

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don't have that foundational basis to be able to know

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whether it's being performed right or wrong. We have a

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lot of people out there trying to do this engineering,

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but do they understand the basis of solutions? I'm asking

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these questions. It'd be nice if you'd ask them too,

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to make sure because you're the one that's going to

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be accountable when it didn't work. You're the one that's

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going to have the embarrassment when you sent out wrong

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information to your customers. So these are questions I'm asking

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you to ask your engineers, your IT department, your finance department,

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your sales department, your research and development. Are they asking

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the right questions proving that the solutions are right. AI

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can be an incredible tool, but it needs human oversight.

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As I said, ethical design and thought regulation. The real

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question is not whether AI will be part of our future.

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We already know that it's already here. The question is

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how we make sure it benefits people fairly and responsibly,

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that we have people that are actually, you know, looking

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at the recommendations and the algorithms, smart assistance, maps and

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routine planning, auto replies and chatbots, photo editing, online shopping suggestions,

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search resource results, writing assistance. Where are we already relying

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on AI every day? I'll bet there's probably fifty different

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ways that people are relying on AI. Which AI tools

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feel helpful to you and which ones feel intrusive? Do

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most people realize AI is involved? Or when is it involved?

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When you're watching something, it looks like they have the

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music behind it. It looks like it's a news, breaking news,

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breaking news how do you know that it's not AI

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generated and it's not the truth. So now you have

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to go and search four or five other resources to

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find out whether or not it was the truth, and

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I'll tell you the percentage is pretty high that it's not.

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Some people are just doing this because fun. It's fun,

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and they want to see how many clicks they get.

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They don't understand that when you're throwing information out there,

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somebody is taking that information. They're evaluating it to themselves personally.

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They are disturbed, they're becoming frustrated, they're becoming angry, they're

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becoming sad, they're becoming frustrated. All of these things are

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happening because we have people who think generating algorithms with

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AI as a game. If you're going to have something

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a tool with that kind of power, then you need

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to have people behind it that are responsible, that understand

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the threats that they can create, and that they have

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a moral compass that says I'm not going to do

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that kind of work. AI does that work. It's at school,

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it's in our manufacturing and all industries of production. It's

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part of our productivity, it's part of all most automation.

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Now it's faster writing, coding, research, customer support. Please work

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on that customer support AI. It needs a few more

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questions because right now it's very frustrating because someone who

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probably designed the algorithms, does they even know anything about

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customer support or they would be asking other potential questions

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and not frustrating the customers on the other end of

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the line. So it needs some work. I'm going to

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put that out there right now. Some of it can

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be assisting your students with studying and education, but what

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else is it going to be doing. It's going to

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be pressuring humans to produce more. Is AI making work easier?

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Is it just raising expectations? And which jobs are going

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to be changing the most? And should schools really be

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embracing AI or fight it? Because if they're learning specifically

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through AI, are we coming to the point where our

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next generation is not going to know how to actually

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have critical thinking. We're putting everything up to a machine

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to think for us, to plan, for us, to decide,

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for us to process for us. When do we think

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that's what our brain is. Therefore, for us to do

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the critical thinking and the decision making, because we know

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the steps that were involved in the decision that's being made.

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That's really important. AI AI may save time, but employers

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may respond by demanding more output and not more freedom.

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So if AI is doing so much and working so hard,

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and you're getting things so quickly so that it doesn't

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take us long, so are we going to get an

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additional paid day off for all that saving that was done?

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What's going to be done with that freedom? What's going

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to happen with the employees that are in the organization

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and now there's less there's there's less time to do

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the work and more time, yes for decision making. But

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when you set this whole plan and that process up

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and it's working as it should, it is going to

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eliminate a lot of need for people's time. So what

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are they going to be able to do with that time?

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Are they going to be able to spend more time

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with their families and not get a cut in pay?

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M M.

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Yeah, let's talk about that one. It's going to save time,

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But let's talk with our employers. What are organizations going

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to do about that? I know some of them think, oh, well,

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it's going to really increase my bottom line. Well it may.

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I've seen how that happened when the first personal computers

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came in. Yes, it increased their bottom line because they

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ended up laying off a lot of people, But what

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happened to those people? Does anyone think about their lives

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and what's happening to them? Is that leadership to say

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say I'm going to have a bottom line, ooh, that

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gets me a bonus. But these people are now without jobs,

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maybe going to lose their homes, children aren't able to eat.

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Do we not think about others when we're making plans?

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You think about getting customers, but do you think about

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those that are helping you get customers and what your decisions,

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how they affect their lives? Creativity, thinking, and human skill,

319
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the practical effects to deeper cultural effects. AI generated writing

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music images ideas. I've talked to friends of mine, they're musicians,

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and they're seeing that they're having difficulty selling their music

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because AI is able to just generate songs and even

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make it sound like their voice. And so where's where

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are the laws that says you cannot you cannot steal

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images or voices of other people who actually are performing

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in that industry. We need some kind of regulation of

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what's going on as it's as it keeps going, you know,

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I can see that it goes out and it grabs

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different types of songs and it adds different voices to it.

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And that's not creativity. It's already there. They might it

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might be reimagining it and manipulating it. But what happened

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to the brainstorming and the originality. We're going to become

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so dependent on tools that we don't think anymore. We

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lose a skills and skills of development, skills of thinking.

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What happens to creativity, thinking of the future, thinking of

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a new product, thinking of a new business, thinking of

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just so many different things that we can be developing

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in the world to maybe ease the pain and suffering

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that is happening in this world. What's going to happen

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to that creativity, that dreaming if we have AI doing

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everything goodness reminds me of a movie called The Matrix?

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Do we want to live in the Matrix? Where we

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don't think anymore? Machines tell us what to do. I

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don't know if that's where we're headed, but the potential

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is there where we have this kind of technology out

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there that's unregulated. Is AI supporting creativity or replacing parts

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of it or all of it. That's my question is

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is it actually taking away our own thought patterns, our

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own creativity, our own ability to analyze, our own ability

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to think for ourselves? Seriously, how are we using it?

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And what are we losing in the process? What are

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we losing in the process? If AI helps write everything,

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then who you're going to end up becoming the worst writer?

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Not the AI. You're gonna lose your ability to begin

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to write a paragraph, to write a sentence, to write

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a statement, to write a document, to write a presentation.

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I've done the design of a lot of presentations for

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boards and CEOs and things like that, and I enjoyed

359
00:29:04.240 --> 00:29:12.720
just the the development of the tools, the slides, the substack, everything.

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I enjoy putting, the finding the little images that would

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actually display the thoughts that I was trying to present.

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It was the creativity that would be generated. It was

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so invigorating and so rewarding and so satisfying. Now you

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just tell a I do something, I mean right so fast,

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because I use it, and boom, there you are, and

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then you pick out some pieces that you might like

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and you might review it. Most people don't even do it,

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but What happened to your ability to think? What happened

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to your inner spirit? What happened to your inner thoughts?

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What happened to your dreams? You've now transferred who you

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are and your capabilities and the beauty of your creation

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to a bot? Is that what you want to become?

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Just something? So who becomes the tool? AI? Or you?

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You feed AI and it does the work? So who

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is the bot? And who is the creator? Good question?

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Are we becoming more efficient or less thoughtful? Engaging or analytical?

377
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What skills should people protect? No matter how advanced AI gets,

378
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let's start talking about that. Where do we draw the line?

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If AI does the first draft, the submarine and the

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idea generation, what part of the thinking are you doing

381
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or are you trying not to think at all? There

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is a part of it that has to belong to us.

383
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What about risk? This is what has disturbed me the most.

384
00:31:13.200 --> 00:31:18.480
What about the risk, the ethics and what feels unsettling?

385
00:31:19.720 --> 00:31:23.559
Like I mentioned before, our privacy, the biases that you

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can place into AI systems, the misinformation, the deep fikes,

387
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the overdependence and trust. Surveillance, yes, it has the capability

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of doing surveillance, human replacement, in sensitive areas. There's areas

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of humanity where it needs to remain human and not

390
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have a programmed system that does not have emotion. I

391
00:31:54.440 --> 00:31:57.119
know they've even been trying to give it emotion, so

392
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your inflexit inflection in a voice or whatever. But believe

393
00:32:02.000 --> 00:32:07.279
it or not, it's not emotion. It doesn't feel. I

394
00:32:07.319 --> 00:32:09.240
know you try to make it sound like it, but

395
00:32:09.359 --> 00:32:16.759
it doesn't feel. Does what AI uses cross the line

396
00:32:16.799 --> 00:32:22.680
for you? Should AI ever make decisions in hiring? I

397
00:32:22.759 --> 00:32:25.519
see that it's I see that it is doing the

398
00:32:25.559 --> 00:32:29.119
reviews of resumes, but should it be the one that

399
00:32:29.200 --> 00:32:37.519
is making decisions in hiring, medicine, policing, education? Where do

400
00:32:37.599 --> 00:32:41.680
we draw the line? How dangerous is it when AI

401
00:32:41.880 --> 00:32:45.400
sounds confident but it's wrong, And it is always going

402
00:32:45.480 --> 00:32:49.240
to sound confident because it is designed and constructed to

403
00:32:49.319 --> 00:32:52.279
sound confident, and so you're going to trust it, and

404
00:32:52.319 --> 00:32:56.839
it's wrong. And we have many instances that are out

405
00:32:56.880 --> 00:32:59.839
there right now where customers are trying to rebuild their

406
00:33:00.160 --> 00:33:05.119
reputations because they trusted AI far more than what they

407
00:33:05.160 --> 00:33:10.119
should have at this stage of its development, and sent

408
00:33:10.160 --> 00:33:16.160
out bad information, sent out bad reports, sent out recommendations,

409
00:33:18.000 --> 00:33:22.440
and they were wrong. Lawsuits have been filed because we

410
00:33:22.599 --> 00:33:27.200
trusted in a tool that's supposed to be used for

411
00:33:27.240 --> 00:33:31.200
our convenience and our efficiencies, but it is not the

412
00:33:31.319 --> 00:33:39.039
last word on anything that is developed. How dangerous is

413
00:33:39.079 --> 00:33:45.319
it when AI sounds confident? And who is accountable when

414
00:33:45.400 --> 00:33:53.559
AI causes harm? Who Ever generated the outcome, the product,

415
00:33:54.279 --> 00:34:02.160
the service sold it to customers, society, other businesses. You're

416
00:34:02.200 --> 00:34:06.480
going to get sued because you're putting far more reliance

417
00:34:06.599 --> 00:34:10.960
in a tool instead of using it for efficiencies in

418
00:34:11.000 --> 00:34:14.960
your processes in your organization, so that, yes, you may

419
00:34:14.960 --> 00:34:18.239
be able to get the information faster, but the decision

420
00:34:18.320 --> 00:34:20.880
making and what you do with that information that is

421
00:34:20.920 --> 00:34:24.519
still left up to the human beings that have that

422
00:34:24.760 --> 00:34:30.320
job of making decisions. You only use it because it's

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00:34:30.599 --> 00:34:34.480
faster of getting you information, real time information. We've always

424
00:34:34.519 --> 00:34:38.360
been working towards being able to have systems that can

425
00:34:38.400 --> 00:34:41.840
generate real time information. Place it on your dashboard so

426
00:34:41.880 --> 00:34:44.760
you can see what kind of things that are affecting

427
00:34:45.239 --> 00:34:49.599
your bottom line, are affecting your productivity and efficiency during

428
00:34:49.599 --> 00:34:55.039
the day. Those are good tools, but AI isn't supposed

429
00:34:55.039 --> 00:34:57.119
to do your job to the point it's making the

430
00:34:57.239 --> 00:35:01.159
decisions for you and coming with the bottom line of

431
00:35:01.199 --> 00:35:05.360
what the organization should be doing, what it should be processing,

432
00:35:05.519 --> 00:35:08.239
what it should be recommending, what it should be selling.

433
00:35:09.639 --> 00:35:13.159
There needs to be a human intervention in all of this.

434
00:35:15.079 --> 00:35:19.599
The issue may not be AI itself, but how recklessly

435
00:35:19.840 --> 00:35:27.360
or unevenly it is deployed. That is the problem. How

436
00:35:27.400 --> 00:35:32.039
are you deploying and using AI in your organization, in

437
00:35:32.079 --> 00:35:36.039
the government, in whatever it is that you're using it for.

438
00:35:37.039 --> 00:35:44.079
Are you being reckless? Are you being biased? And now

439
00:35:44.119 --> 00:35:48.440
you're deploying things that's going to give answers that are dangerous,

440
00:35:49.280 --> 00:35:55.440
They are not accurate, They are causing problems for the recipients,

441
00:35:56.320 --> 00:36:01.480
other businesses, other industries. We have to be careful about that.

442
00:36:02.840 --> 00:36:06.719
So here are some solutions that maybe we can discuss.

443
00:36:08.639 --> 00:36:14.280
Use AI as a tool, not as a substitute for judgment.

444
00:36:14.920 --> 00:36:20.639
That's why you're there. That's why you said you're willing

445
00:36:21.079 --> 00:36:26.039
to take the responsibility for the decisions are made, because

446
00:36:26.079 --> 00:36:28.719
you are the one that's supposed to be the one

447
00:36:29.159 --> 00:36:34.400
making the judgments. The judgment calls the judgment as the

448
00:36:34.440 --> 00:36:38.800
next direction of the organization. The judgment as different the

449
00:36:38.840 --> 00:36:41.800
products that you're selling and whether they're harmful or not.

450
00:36:46.119 --> 00:36:52.480
Teach AI literacy in schools and workplaces, Teach how it

451
00:36:52.519 --> 00:36:57.000
can be used, Teach how it can should not be used,

452
00:36:57.719 --> 00:37:03.079
so that everyone comes out with the same ideas as

453
00:37:03.480 --> 00:37:08.079
the performance of AI, the limitations of AI, and where

454
00:37:08.199 --> 00:37:12.199
it needs to be restricted. I'm not saying don't use AI.

455
00:37:12.800 --> 00:37:16.079
It is a wonderful tool. What I'm saying is we

456
00:37:16.239 --> 00:37:20.960
need to be a whole lot smarter about how we

457
00:37:21.000 --> 00:37:25.280
are deploying this tool so that people are not harmed.

458
00:37:27.000 --> 00:37:33.360
Keep humans involved in high stake decisions, keep humans involved

459
00:37:33.719 --> 00:37:37.840
into what areas AI can go into. I can't imagine

460
00:37:37.920 --> 00:37:42.480
AI going into policing. I can't imagine it going into

461
00:37:42.559 --> 00:37:48.440
law enforcement. I can't imagine it going into government and

462
00:37:48.519 --> 00:37:52.440
making decisions just based on what some data points that

463
00:37:52.480 --> 00:37:58.239
it was fed. It doesn't understand empathy, it doesn't understand compassion,

464
00:37:58.400 --> 00:38:05.079
It doesn't understand maybe looking at the history of it

465
00:38:05.400 --> 00:38:10.760
of a defendant and finding out whether or not there

466
00:38:10.800 --> 00:38:16.000
were circumstances that led up to this particular reaction. No,

467
00:38:16.320 --> 00:38:19.199
it's only going to see black and white. You did this,

468
00:38:19.360 --> 00:38:23.400
You did this is the result, because it doesn't have

469
00:38:23.519 --> 00:38:26.960
the space in the middle that's what humans are for.

470
00:38:28.360 --> 00:38:34.480
Protect privacy and demand transparency as to what kind of

471
00:38:34.519 --> 00:38:39.079
information is being used, what these data sources are, how

472
00:38:39.159 --> 00:38:47.039
were these data sources entered data points, not using our

473
00:38:47.239 --> 00:38:53.599
information that was stolen without permission, build rules for accountability

474
00:38:54.159 --> 00:38:59.119
of its use and the results, and keep practicing core

475
00:38:59.480 --> 00:39:03.960
humans gills. If we're going to be doing using these

476
00:39:04.000 --> 00:39:09.679
tools to be faster and do things faster, we just

477
00:39:09.719 --> 00:39:15.840
can't turn everything over to a machine and say you

478
00:39:15.880 --> 00:39:18.400
are now autonomous and I'm just going to set it

479
00:39:18.480 --> 00:39:20.559
home and not think what are you going to do

480
00:39:20.599 --> 00:39:26.119
with yourself when you were You were created to create,

481
00:39:26.960 --> 00:39:35.440
You were created to make ideas come to life, and

482
00:39:35.480 --> 00:39:44.960
instead you're playing around with a machine. Really, some of

483
00:39:44.960 --> 00:39:47.840
the things we need to keep practicing, regardless of how

484
00:39:48.000 --> 00:39:54.280
quick AI works for us. We need to continue the

485
00:39:54.360 --> 00:40:07.199
skill of writing, personal writing, personal documenting, personal writing diaries,

486
00:40:07.320 --> 00:40:13.800
or personal writing communications to people that we are communicating

487
00:40:13.880 --> 00:40:19.079
or associating with. Don't have AI write your communications with

488
00:40:19.119 --> 00:40:24.039
no feeling. And you can tell that when AI wrote

489
00:40:24.039 --> 00:40:26.400
it and when a human being it writes it just

490
00:40:26.519 --> 00:40:32.199
like a tool that has no emotion would write it.

491
00:40:34.239 --> 00:40:41.159
Critical thinking should be left to humans, not to machines

492
00:40:41.760 --> 00:40:50.320
communications as I was just saying, should be human so

493
00:40:50.360 --> 00:40:53.639
that people can feel the emotion and feel the heart

494
00:40:53.880 --> 00:40:58.119
and feel your thoughts in what you're saying and not

495
00:40:58.320 --> 00:41:08.280
allowing AI to do that for you. Creativity, Start thinking

496
00:41:08.360 --> 00:41:11.519
and creating. As I mentioned before, that's what you were

497
00:41:11.559 --> 00:41:17.480
created to do. To create other things, ideas ways to

498
00:41:17.559 --> 00:41:25.159
help us to clean our waters, clean the waste that

499
00:41:25.199 --> 00:41:31.119
we are throwing out there that's polluting areas of our world.

500
00:41:31.920 --> 00:41:35.360
We have so many issues and problems and things that

501
00:41:35.360 --> 00:41:38.559
are going on in the world. We should be thinking

502
00:41:38.639 --> 00:41:44.679
of ways to create better methods of getting rid of

503
00:41:44.719 --> 00:41:48.480
our trash, better methods of keeping our waters clean, better

504
00:41:49.079 --> 00:41:53.840
methods of not polluting our air because it causes so

505
00:41:54.599 --> 00:41:59.519
much damage to our health. Those are things that we

506
00:41:59.559 --> 00:42:05.280
should be thinking about, and for goodness sakes, we should

507
00:42:05.320 --> 00:42:10.440
be thinking about the ethics that are involved with AI tools.

508
00:42:12.039 --> 00:42:13.639
I have a couple of questions that I want to

509
00:42:13.679 --> 00:42:19.960
leave with you. What does responsible AI look like to you?

510
00:42:21.039 --> 00:42:26.000
Responsible AI? Think about how you're using it, Think about

511
00:42:26.000 --> 00:42:29.039
how it's being used, Think about what you've been seeing

512
00:42:29.079 --> 00:42:34.599
and what you've been receiving, and ask what is responsible

513
00:42:34.679 --> 00:42:37.719
a AI and what does it look like, Because if the

514
00:42:37.760 --> 00:42:44.639
people designing don't feel any type of responsibility of the damage,

515
00:42:44.960 --> 00:42:50.320
if it's not right, then what are you doing? And

516
00:42:50.400 --> 00:42:54.679
are you willing to take the accountability and the responsibility

517
00:42:54.920 --> 00:43:00.559
for the damage that this has done? What should we

518
00:43:00.719 --> 00:43:07.239
embrace about it? And should what should we not embrace?

519
00:43:08.920 --> 00:43:15.559
What should be more skeptical regarding where and what should

520
00:43:15.559 --> 00:43:22.519
we be more skeptical about regarding AI? And what should

521
00:43:22.840 --> 00:43:29.880
never ever ever be handed over to machines. Let's start

522
00:43:29.920 --> 00:43:33.280
talking about that. Let's change the conversation out there in

523
00:43:33.320 --> 00:43:36.599
social media instead of saying, oh, look what I created

524
00:43:36.679 --> 00:43:43.519
and we are we have all these fake you know, articles, pictures,

525
00:43:44.079 --> 00:43:47.679
comics and different things going on. We have serious things

526
00:43:48.000 --> 00:43:50.880
happening in the world. People are dying, people are ill.

527
00:43:51.760 --> 00:43:56.159
Medicines aren't working, Some medicines are causing so many side effects.

528
00:43:57.039 --> 00:43:59.800
Let's talk about nature and the things that we can

529
00:43:59.840 --> 00:44:04.480
be doing instead of some of the other discussions we're having.

530
00:44:04.639 --> 00:44:08.719
Let's start discussing about the ethics of AI. Let's start

531
00:44:08.800 --> 00:44:11.639
discussing what we should be handing over, and let's start

532
00:44:11.679 --> 00:44:14.599
discussing what kind of rules and regulations should be there,

533
00:44:15.599 --> 00:44:19.159
what kind of laws should be established. This is more

534
00:44:19.199 --> 00:44:22.559
than just something for entertainment. It is being used in businesses,

535
00:44:22.599 --> 00:44:26.440
it is being used in science, is being used in medicine,

536
00:44:26.519 --> 00:44:30.079
is being used in education, It's being used in everything

537
00:44:30.119 --> 00:44:34.159
that develops your children into adults. So I would think

538
00:44:34.199 --> 00:44:37.440
you would want to be involved in how it is

539
00:44:37.719 --> 00:44:44.159
handling information and providing information to the next generation. And

540
00:44:44.239 --> 00:44:48.639
maybe the real AI debate isn't about technology getting smarter.

541
00:44:49.679 --> 00:44:54.639
It's about whether humans stay thoughtful while they're using it.

542
00:44:56.199 --> 00:45:00.880
Are we using it with compassion and empathy or are

543
00:45:00.920 --> 00:45:04.760
we becoming robotic where we don't have a thought process,

544
00:45:04.880 --> 00:45:10.119
or we don't feel any responsibilities, or we just don't care.

545
00:45:11.039 --> 00:45:14.920
Is that what's happening while we're utilizing this tool? Because

546
00:45:15.000 --> 00:45:18.920
I see some really mean things that are being developed.

547
00:45:20.039 --> 00:45:23.760
What are you thinking about when you're doing that? And

548
00:45:23.840 --> 00:45:27.559
what is in your heart and in your mind that

549
00:45:27.599 --> 00:45:33.519
you are designing your AI bot to do such things.

550
00:45:37.639 --> 00:45:43.280
Let's start thinking about how thought were, thoughtful and ethical

551
00:45:43.719 --> 00:45:48.440
and moral we should be when you're utilizing AI tool.

552
00:45:50.199 --> 00:45:57.559
I really love to hear some responses from you. I'm

553
00:45:57.559 --> 00:46:00.440
not asking you to agree, I'm asking you to think.

554
00:46:00.719 --> 00:46:04.639
I'm not asking you to accept. I'm asking you to

555
00:46:05.239 --> 00:46:10.800
become engaged and start thinking about all the different issues

556
00:46:12.360 --> 00:46:17.360
that can happen if AI gets out of control. The

557
00:46:17.440 --> 00:46:24.159
one thing I mentioned the matrix and the machines and

558
00:46:24.239 --> 00:46:27.519
different things like that, and they're interesting and in fact,

559
00:46:27.519 --> 00:46:31.800
they're very well written and entertaining movies. But there's a

560
00:46:31.840 --> 00:46:36.719
reality in there somewhere, and if we cross that line

561
00:46:36.920 --> 00:46:41.679
where we did not think about the ethics, the moralities,

562
00:46:41.920 --> 00:46:48.320
the laws, the restrictions of what we're developing, once you

563
00:46:48.400 --> 00:46:53.760
have crossed that line, you can't dismantle it. You can't

564
00:46:53.800 --> 00:46:57.960
make it stop. So it's just like anything that's developed.

565
00:46:58.039 --> 00:47:01.679
You had better think it through really right now while

566
00:47:01.719 --> 00:47:06.639
you have the opportunity, and start demanding that laws and

567
00:47:06.679 --> 00:47:11.599
regulations be put into place right now before it gets

568
00:47:11.800 --> 00:47:15.400
too far out of control. Because once we cross over,

569
00:47:15.880 --> 00:47:19.599
we can't go back, and so we really need to

570
00:47:19.639 --> 00:47:25.119
be paying attention and asking questions. And that's what I'm

571
00:47:25.159 --> 00:47:28.679
doing today. I'm asking you questions. What are you thinking

572
00:47:28.719 --> 00:47:35.159
about besides it's saving the bottom line and giving you

573
00:47:35.280 --> 00:47:41.159
more profit, What are you thinking about ethically in the

574
00:47:41.280 --> 00:47:47.400
human part of society? What are we thinking about if

575
00:47:47.960 --> 00:47:52.639
we permit all types of biases and prejudices to be

576
00:47:52.840 --> 00:47:57.800
involved in the development of AI, and we see on

577
00:47:58.000 --> 00:48:02.280
steroids some of the backlash and some of the ugliness

578
00:48:02.559 --> 00:48:08.639
that can be presented. You probably are older, but you

579
00:48:09.239 --> 00:48:13.480
have children and grandchildren. What are you leaving for them?

580
00:48:13.639 --> 00:48:18.559
I hear them now already blaming the generation before me

581
00:48:18.920 --> 00:48:23.159
for things being the atmosphere is being bad, and the

582
00:48:23.679 --> 00:48:27.599
waters being polluted, and the air being polluted, and chemicals

583
00:48:27.639 --> 00:48:33.079
everywhere and all this, and they're blaming our generation. But

584
00:48:33.159 --> 00:48:37.280
what are they going to say about you when they're

585
00:48:37.320 --> 00:48:40.639
having to fight with machines that are out of control

586
00:48:40.719 --> 00:48:44.679
and they can't go back. They're going to say, look

587
00:48:44.719 --> 00:48:49.400
what my parents did. Look what they did to our lives.

588
00:48:50.480 --> 00:48:55.840
Why is there some profit in it? Was money that

589
00:48:56.000 --> 00:48:59.639
important to you that you sold out the futures of

590
00:48:59.679 --> 00:49:03.559
the new generation? I want us to think about it.

591
00:49:05.400 --> 00:49:09.719
I want you to think about it and start a

592
00:49:09.760 --> 00:49:15.639
conversation about this. Start a conversation about what we're walking

593
00:49:15.679 --> 00:49:20.840
into while we still have an opportunity to make an impact.

594
00:49:21.519 --> 00:49:27.840
Let's do it now. Let's make it a legitimate, moral, ethical,

595
00:49:28.880 --> 00:49:33.480
positive tool to launch us into the future in a

596
00:49:33.519 --> 00:49:38.800
good way. Instead of something that's telling lies, hallucinating, causing

597
00:49:38.920 --> 00:49:43.400
threats and danger and all sorts of chaos in the world.

598
00:49:43.840 --> 00:49:46.679
I don't think that's what we had planned, so let's

599
00:49:46.719 --> 00:49:50.679
stop it now while we have a chance. I've enjoyed

600
00:49:50.719 --> 00:49:54.559
talking with you. I hope you have enjoyed listening, and

601
00:49:54.639 --> 00:49:58.639
please join us next week. We're here every Monday at

602
00:49:58.639 --> 00:50:02.480
eleven am Eastern time aight am Pacific time. This is

603
00:50:02.639 --> 00:50:05.760
a Sharp Outlook and the one thing we do here

604
00:50:06.159 --> 00:50:10.719
is try to share information for success in your businesses

605
00:50:11.239 --> 00:50:13.360
and for you to be able to live your best

606
00:50:13.400 --> 00:50:18.039
self and whatever you are doing, I want you to

607
00:50:18.079 --> 00:50:25.360
stay informed. I want to thank you for joining us

608
00:50:25.400 --> 00:50:29.079
on a Sharp Outlook. We have been informed and energized

609
00:50:29.119 --> 00:50:32.280
to take the next steps. We have posted links to

610
00:50:32.400 --> 00:50:36.639
websites and videos to learn more on today's topic. Please

611
00:50:36.719 --> 00:50:40.440
join us again next week or another thought provoking conversation

612
00:50:40.920 --> 00:50:45.400
right here on key for HD radio and Talk for TV.

613
00:50:46.320 --> 00:50:50.480
Listen to the podcast on all the podcast apps, and

614
00:50:50.599 --> 00:50:53.119
until next week, stay informed.