How to Talk to Your Children About Artificial Intelligence (AI) with Dr. William T. Choctaw (Part 1)

1 00:00:01,339 --> 00:00:05,070 Jesse L Hammonds: You know, speaking of nice, it's nice to have all of you out. 2 00:00:06,230 --> 00:00:07,100 It really is. 3 00:00:07,410 --> 00:00:13,420 Um, welcome to the Leadership Masterclass 2024. 4 00:00:13,580 --> 00:00:14,909 We're already in March. 5 00:00:15,539 --> 00:00:16,169 Yeah. 6 00:00:16,899 --> 00:00:16,999 Yes. 7 00:00:17,560 --> 00:00:18,670 My goodness. 8 00:00:18,929 --> 00:00:20,810 Well, you know, we're going to get started here. 9 00:00:20,820 --> 00:00:22,470 I'm going to introduce the host. 10 00:00:22,974 --> 00:00:29,425 Uh, real soon, but first, for those of you that are joining us on Zoom, please 11 00:00:29,485 --> 00:00:34,764 mute your mics and, uh, at the end of the session, we're going to have a Q and A. 12 00:00:35,405 --> 00:00:37,745 You can feel free to interact with the doctor. 13 00:00:38,355 --> 00:00:39,414 I gave him away, didn't I? 14 00:00:40,435 --> 00:00:41,794 You can interact with the host. 15 00:00:42,250 --> 00:00:46,130 And or the, uh, the class at that time, and, uh, for those of you 16 00:00:46,170 --> 00:00:50,800 in the audience, uh, in person, please mute your mics as well. 17 00:00:51,580 --> 00:00:57,139 Now, uh, I kind of tipped it a little bit there, uh, about the host. 18 00:00:57,239 --> 00:00:59,269 He's unique in a lot of different ways. 19 00:00:59,539 --> 00:01:02,315 First and foremost, He's a man of God. 20 00:01:02,465 --> 00:01:06,875 He's also a scientist in the form of a Yale Medical 21 00:01:06,875 --> 00:01:09,055 School trained medical doctor. 22 00:01:09,915 --> 00:01:18,054 He's also a Western State College of Law trained attorney, who also happens 23 00:01:18,054 --> 00:01:24,875 to be an author of multiple books, who is also presently the president of 24 00:01:25,015 --> 00:01:29,904 Choctaw Medical Group, and he's also a gifted speaker, of which you will 25 00:01:30,310 --> 00:01:32,900 See and hear in just a few moments. 26 00:01:33,039 --> 00:01:38,179 He's also the host of the healthy wealthy and wise Podcast for 27 00:01:38,190 --> 00:01:39,890 those of you that don't know him. 28 00:01:40,120 --> 00:01:46,599 Maybe there's one or two in the world Those of you I want to introduce to 29 00:01:46,600 --> 00:01:53,240 you and present to everybody else the host of the leadership Masterclass, dr. 30 00:01:53,240 --> 00:01:56,390 William T Chaka MD JD. 31 00:01:56,980 --> 00:02:00,205 You're gonna Andrew Collins Good morning, 32 00:02:00,205 --> 00:02:00,585 Rev Andrew Collins: everyone. 33 00:02:00,645 --> 00:02:04,294 I'm going to start out this morning with a scripture and then a prayer. 34 00:02:04,824 --> 00:02:09,345 So I'm going to read it to you from, uh, some, um, chapter 27, verses 35 00:02:09,345 --> 00:02:12,144 11 through 14, and it reads thus. 36 00:02:12,294 --> 00:02:18,334 Teach me thy way, O Lord, and lead me in a plain path because of mine enemies. 37 00:02:18,970 --> 00:02:23,040 Deliver me not over unto the will of mine enemy, for false 38 00:02:23,070 --> 00:02:27,670 witnesses are risen up against me, and such as breathe out cruelty. 39 00:02:28,070 --> 00:02:32,929 I had fainted unless I had believed to see the goodness of 40 00:02:32,930 --> 00:02:34,849 the Lord in the land of the living. 41 00:02:35,400 --> 00:02:39,954 Wait on the Lord, be of good courage, and he shall strengthen thine heart. 42 00:02:39,954 --> 00:02:41,949 Wait, I say, on the Lord. 43 00:02:42,425 --> 00:02:43,175 Wait on the Lord. 44 00:02:43,555 --> 00:02:44,625 Let us go to the Lord and pray. 45 00:02:44,625 --> 00:02:46,795 The Father God Almighty, we come to you this morning, my father. 46 00:02:46,795 --> 00:02:50,065 Thank you for this opportunity, my father, to be able to hear the words 47 00:02:50,065 --> 00:02:52,535 that you have coming, my father, when you speak of this morning. 48 00:02:53,015 --> 00:02:56,095 We pray, my father, that you open our ears, my father, and have us have each in 49 00:02:56,154 --> 00:02:59,794 ears, to be able to hear, my father, what you've given him to give us, my father. 50 00:03:00,244 --> 00:03:03,705 Something, my father, that we know that we all need, my father, and that is 51 00:03:03,745 --> 00:03:05,825 coming upon us in a rush, my father. 52 00:03:06,325 --> 00:03:08,735 So bless us, fill us with your Holy Spirit, wisdom, and knowledge. 53 00:03:09,140 --> 00:03:12,829 So you can be able to receive, and not only receive, but use what we get, my 54 00:03:12,829 --> 00:03:15,230 father, to help us to know that you are the way, the truth, and the light. 55 00:03:15,730 --> 00:03:18,109 Father God Almighty, we ask you for this, and we thank you for it. 56 00:03:18,110 --> 00:03:22,929 Good 57 00:03:23,790 --> 00:03:27,460 Dr. William T Choctaw: morning, welcome to all of you, and thank you for joining 58 00:03:27,460 --> 00:03:33,759 us today, uh, on this, this beautiful Saturday, uh, let me say that all of 59 00:03:33,759 --> 00:03:41,519 you who, uh, uh, are interested and who attended the conference last weekend, 60 00:03:41,529 --> 00:03:46,070 they don't leave a mess conference last weekend on advanced directives and wills 61 00:03:46,070 --> 00:03:49,959 and trusts, If you would like additional information on that, uh, additional 62 00:03:49,959 --> 00:03:55,959 audio information, um, I suggest that you contact Brother Jesse Hammonds, um, and he 63 00:03:55,959 --> 00:04:01,060 can give you some follow up information, um, that might be of benefit to you. 64 00:04:01,370 --> 00:04:08,420 Well, today, we're going to start, um, with a unique topic, and a topic that 65 00:04:08,420 --> 00:04:13,380 some of you may be familiar with, uh, and some of you may not be familiar with. 66 00:04:13,959 --> 00:04:20,829 Um, but I think, uh, it's, it's Important that, uh, we have it, uh, that, that 67 00:04:20,829 --> 00:04:25,099 we have you to pay attention to some of the information that we're going 68 00:04:25,099 --> 00:04:29,380 to try to disseminate to you today, uh, because it's very important and 69 00:04:29,380 --> 00:04:34,139 certainly to all of you, uh, who have children, uh, you particularly want 70 00:04:34,149 --> 00:04:37,890 to, um, uh, uh, be involved with this. 71 00:04:38,190 --> 00:04:42,730 Our topic today is how to talk to your children about artificial intelligence. 72 00:04:43,520 --> 00:04:48,200 How to talk to your Children about artificial intelligence. 73 00:04:48,530 --> 00:04:51,879 Now, you may have heard a lot about our artificial intelligence, certainly 74 00:04:51,880 --> 00:04:55,110 over the last 12 to 24 months. 75 00:04:55,560 --> 00:05:01,989 Um, one of the things that you may not be aware of is the fact that your Children. 76 00:05:02,290 --> 00:05:07,400 Are getting artificial intelligence information at rapid speed, 77 00:05:07,640 --> 00:05:12,660 rapid speed, and it is impacted their lives in multiple areas. 78 00:05:12,990 --> 00:05:17,340 And I believe, and I'm sure many of you agree, that it's important 79 00:05:17,350 --> 00:05:19,560 for parents to be up to task. 80 00:05:20,030 --> 00:05:22,150 with with some of those things that are happening. 81 00:05:22,750 --> 00:05:27,880 This is part of Master Class Medicine and I appreciate all of you taking valuable 82 00:05:27,890 --> 00:05:32,200 time out of your business schedule to be with us for one hour on a Saturday 83 00:05:32,200 --> 00:05:35,180 morning, uh, during the month of March. 84 00:05:35,694 --> 00:05:40,025 Um, and what we do is the masterclass is designed for 85 00:05:40,025 --> 00:05:42,184 leaders, designed for leaders. 86 00:05:42,775 --> 00:05:48,164 Leaders, by my definition, are individuals who not only want to learn and expand 87 00:05:48,194 --> 00:05:53,204 their horizon, but are willing to commit that knowledge to others to help others. 88 00:05:54,105 --> 00:05:56,775 Thus, our beliefs, and we always talk about our beliefs. 89 00:05:57,239 --> 00:06:01,020 Uh, with every masterclass, and the beliefs that we outline 90 00:06:01,270 --> 00:06:04,239 are basically my why, W H Y. 91 00:06:04,610 --> 00:06:05,810 Why do I do this? 92 00:06:05,960 --> 00:06:07,130 Why is this important? 93 00:06:07,530 --> 00:06:11,800 Um, why is it important that we, we, we continue this, this effort? 94 00:06:12,359 --> 00:06:16,049 Uh, one is because I believe that life is about being of service to others. 95 00:06:16,729 --> 00:06:20,590 Um, our, our job is to help, we are our brother's keeper, 96 00:06:20,969 --> 00:06:22,680 and our job is to help others. 97 00:06:23,080 --> 00:06:25,669 Number two, Uh, knowledge is power. 98 00:06:25,900 --> 00:06:31,020 Uh, if you're sick and tired of being sick and tired, um, I would encourage you to 99 00:06:31,049 --> 00:06:33,379 empower yourself and change some things. 100 00:06:34,200 --> 00:06:38,219 Instead of waiting for someone to change it for you, I would, I would 101 00:06:38,219 --> 00:06:40,029 encourage you to change it yourself. 102 00:06:40,400 --> 00:06:42,059 That's what leadership is. 103 00:06:42,469 --> 00:06:45,210 And thirdly, leaders can change the world. 104 00:06:45,239 --> 00:06:49,980 If you are not satisfied with the world the way it presently is, I 105 00:06:49,980 --> 00:06:54,310 would encourage you to be a leader and change it and start with your own 106 00:06:54,320 --> 00:06:57,250 world, um, and do it one day at a time. 107 00:06:57,580 --> 00:07:00,830 As always, we like to put up an outline and the purpose of the outline is to 108 00:07:00,830 --> 00:07:04,559 let you know what we're going to talk about, but more importantly is to let 109 00:07:04,560 --> 00:07:06,130 you know when we're just about done. 110 00:07:06,300 --> 00:07:09,830 Now we're going to talk about artificial intelligence and define that for you. 111 00:07:10,290 --> 00:07:15,330 Um, the reasons for the use of, uh, types of artificial intelligence 112 00:07:15,540 --> 00:07:16,910 and some of the ways that it's used. 113 00:07:17,590 --> 00:07:21,080 And we'll also look at some of the risks, uh, and concerns 114 00:07:21,080 --> 00:07:22,760 about artificial intelligence. 115 00:07:23,130 --> 00:07:27,010 One of the things I always like to mention that, uh, some of you may 116 00:07:27,010 --> 00:07:30,390 say, well, you know, I'm not really a technical person and I don't 117 00:07:30,390 --> 00:07:32,160 understand all that computer stuff. 118 00:07:32,530 --> 00:07:37,289 And then I would usually say something like, stop, do you have a cell phone? 119 00:07:37,490 --> 00:07:41,250 And I bet you 80 to 90 percent of the people will say, yes, I do. 120 00:07:41,910 --> 00:07:45,740 Uh, and then I would say your cell phone is a computer and you 121 00:07:45,750 --> 00:07:48,070 have it with you almost 24 7. 122 00:07:48,640 --> 00:07:53,749 So every single day you use a handheld computer to, to get things 123 00:07:53,749 --> 00:07:55,289 done that you need to get done. 124 00:07:55,479 --> 00:07:56,260 What's my point? 125 00:07:56,269 --> 00:08:02,035 My point is that we're all familiar with Um, computers and artificial intelligence 126 00:08:02,035 --> 00:08:03,915 many times without even being aware of it. 127 00:08:04,155 --> 00:08:08,104 So this is not something that's going to be brand new, but basically 128 00:08:08,254 --> 00:08:12,684 what we're going to try to do is to expand your, your, your skill 129 00:08:12,684 --> 00:08:15,654 set, to expand your knowledge base. 130 00:08:16,065 --> 00:08:19,525 There are different types of, uh, uh, computers that 131 00:08:19,534 --> 00:08:21,215 have artificial intelligence. 132 00:08:21,485 --> 00:08:28,655 Whether you have Microsoft, Google, Apple, um, Meta, um, Badoo, doesn't matter, 133 00:08:28,945 --> 00:08:30,514 uh, they're pretty much all the same. 134 00:08:30,514 --> 00:08:33,474 So when we talk about artificial intelligence, we're talking 135 00:08:33,474 --> 00:08:34,705 about all these different levels. 136 00:08:35,205 --> 00:08:39,744 Probably the two largest, so one of the largest areas, so one of the companies 137 00:08:39,744 --> 00:08:45,090 that really pushed this publicly, Has been Microsoft and Microsoft 138 00:08:45,100 --> 00:08:47,160 bought a company called Open AI. 139 00:08:47,700 --> 00:08:51,969 I won't go into a lot of details, but just to say that basically Open 140 00:08:51,969 --> 00:08:54,310 AI was formed, was founded in 2015. 141 00:08:55,200 --> 00:08:56,370 Not that long ago. 142 00:08:56,570 --> 00:08:57,520 Nine years. 143 00:08:57,549 --> 00:08:58,620 Not that long ago. 144 00:08:59,130 --> 00:09:03,640 Uh, and Microsoft invested a billion dollars in it in 2019. 145 00:09:03,829 --> 00:09:09,560 Uh, Microsoft was then so impressed with it by 2023, it increases 146 00:09:09,560 --> 00:09:11,540 investment to 10 billion dollars. 147 00:09:12,074 --> 00:09:15,194 Now, I can assure you that even though Microsoft has a lot of money, it's 148 00:09:15,194 --> 00:09:16,595 not going to throw its money away. 149 00:09:17,114 --> 00:09:22,124 And so it saw something that it thought was that it could not pass up. 150 00:09:22,305 --> 00:09:26,285 Expand that, that greater than a million customers have signed up for the 151 00:09:26,285 --> 00:09:28,484 chatbot, which is the open AI product. 152 00:09:28,620 --> 00:09:33,239 In 2022 by January 2023. 153 00:09:33,240 --> 00:09:35,860 Um, that number was over 100 million. 154 00:09:36,490 --> 00:09:41,140 Now this slide is probably a year old, and I can guarantee you that that 155 00:09:41,140 --> 00:09:44,130 number is probably for 500 billion. 156 00:09:44,440 --> 00:09:45,789 So what's my point? 157 00:09:45,809 --> 00:09:52,870 My point is that artificial intelligence is a technology that grows exponentially. 158 00:09:53,040 --> 00:09:53,790 Think about that. 159 00:09:54,365 --> 00:09:56,925 It grows exponentially. 160 00:09:57,085 --> 00:09:57,835 Hi, welcome. 161 00:09:57,835 --> 00:09:58,355 Come on in. 162 00:09:58,995 --> 00:10:03,624 Um, so the first thing that we have to do is we got to think faster. 163 00:10:03,775 --> 00:10:04,775 We got to think faster. 164 00:10:04,785 --> 00:10:08,504 We're not talking about things that happened one week and then six months 165 00:10:08,504 --> 00:10:09,984 later, it changes a little bit. 166 00:10:09,984 --> 00:10:13,854 No, these things change by minutes, seconds. 167 00:10:14,194 --> 00:10:16,895 And so we've got to increase our rate of thought. 168 00:10:17,125 --> 00:10:20,145 Artificial intelligence, what does it really mean? 169 00:10:20,355 --> 00:10:23,435 The bottom line, and I like to simplify things, it means 170 00:10:23,435 --> 00:10:25,745 teaching machines how to think. 171 00:10:25,955 --> 00:10:30,094 And that might, that might sound a little scary, but this is where we are. 172 00:10:30,415 --> 00:10:32,915 We're talking about thinking machines. 173 00:10:33,324 --> 00:10:34,064 Thinking machines. 174 00:10:34,104 --> 00:10:37,584 Now some of you who are old as I am, you remember those movies. 175 00:10:38,099 --> 00:10:42,550 Back, you know, with Al and all those other scary movies about these 176 00:10:42,550 --> 00:10:44,500 machines, well, we're there now. 177 00:10:46,389 --> 00:10:48,129 It is not a theory. 178 00:10:48,719 --> 00:10:50,959 We're always, we're there now. 179 00:10:51,360 --> 00:10:55,769 The goal is to have computer enhanced learning, reasoning, and perception. 180 00:10:55,980 --> 00:11:00,560 And we're going to go over this again in detail, but types of artificial 181 00:11:00,560 --> 00:11:05,939 intelligence are basic pattern recognition, complex human emotions, 182 00:11:06,149 --> 00:11:08,040 and then the use of algorithms. 183 00:11:08,724 --> 00:11:12,474 Algorithms are basically patterns, uh, and it's a way of giving 184 00:11:12,474 --> 00:11:14,905 information to, uh, computers. 185 00:11:16,004 --> 00:11:18,724 What are the three levels of artificial intelligence? 186 00:11:18,934 --> 00:11:24,244 Again, definition of artificial intelligence is teaching machines 187 00:11:24,244 --> 00:11:26,444 to think, or thinking machines. 188 00:11:27,174 --> 00:11:32,600 The lower level is what's called Artificial Narrow Intelligence, ANI. 189 00:11:33,230 --> 00:11:35,480 Think about your Alexis at home. 190 00:11:36,170 --> 00:11:39,819 Think about your Siri at home, or your Echo at home. 191 00:11:40,079 --> 00:11:42,969 Where you say, Siri, turn off the lights. 192 00:11:43,410 --> 00:11:45,799 Okay, and Siri turns off your lights for you. 193 00:11:46,199 --> 00:11:52,150 Or you say, Siri, Alexa, um, uh, pick a, pick a Western movie for me to watch. 194 00:11:52,150 --> 00:11:55,650 And Alexa picks the Western movie for you to watch. 195 00:11:56,050 --> 00:12:00,629 And see, and you know, Alexa and Siri are cute and they have nice little names 196 00:12:00,629 --> 00:12:03,089 or whatever, but they are machines. 197 00:12:03,670 --> 00:12:05,260 They are machines. 198 00:12:05,609 --> 00:12:08,859 And whether you dress it up or not, it's a machine that's 199 00:12:08,859 --> 00:12:10,339 doing more than it used to do. 200 00:12:10,859 --> 00:12:11,319 Okay? 201 00:12:11,550 --> 00:12:15,120 Now I tell you, I fully embrace artificial intelligence. 202 00:12:15,455 --> 00:12:18,315 But when I use it on my computer, I don't like it. 203 00:12:18,405 --> 00:12:20,055 I don't like it to talk to me. 204 00:12:20,075 --> 00:12:21,805 I'm just, I'm not there yet. 205 00:12:23,335 --> 00:12:24,145 That's just me. 206 00:12:24,715 --> 00:12:26,335 I admit I'm a baby boomer. 207 00:12:26,335 --> 00:12:27,415 I'm just not there yet. 208 00:12:27,665 --> 00:12:29,184 But I use it almost daily. 209 00:12:29,685 --> 00:12:31,125 I use it almost daily. 210 00:12:32,015 --> 00:12:35,645 So the second level from the artificial narrow intelligence is 211 00:12:35,675 --> 00:12:37,645 artificial general intelligence. 212 00:12:38,355 --> 00:12:40,245 Think about IBM's Watson. 213 00:12:40,255 --> 00:12:42,944 Remember when Watson played chess? 214 00:12:43,350 --> 00:12:46,430 Uh, you know, with the world chess champion, I think about 215 00:12:46,540 --> 00:12:50,750 artificial intelligence on that level, supercomputers, self 216 00:12:50,750 --> 00:12:53,800 driving cars, self driving cars. 217 00:12:54,060 --> 00:12:57,700 A few months ago, we were having a conversation with one of our sons, uh, 218 00:12:57,710 --> 00:13:02,210 who's an engineer, and he's just sort of into the whole self driving car thing. 219 00:13:02,590 --> 00:13:04,670 And I said, uh, I'm not there yet. 220 00:13:05,040 --> 00:13:06,140 I'm not there yet. 221 00:13:06,480 --> 00:13:09,899 Not that I'm a control freak, but I just like to have my 222 00:13:09,899 --> 00:13:11,540 hands on the steering wheel. 223 00:13:11,859 --> 00:13:17,430 Okay, second level from artificial narrow intelligence is artificial 224 00:13:17,710 --> 00:13:20,569 general intelligence that we just talked about, and the final level 225 00:13:20,610 --> 00:13:22,990 is artificial superintelligence. 226 00:13:23,609 --> 00:13:23,880 A. 227 00:13:23,880 --> 00:13:24,130 S. 228 00:13:24,170 --> 00:13:24,560 I. 229 00:13:24,819 --> 00:13:27,880 Hypothetical artificial intelligence. 230 00:13:28,250 --> 00:13:32,100 Uh, some say that we have yet to be able to achieve it. 231 00:13:32,129 --> 00:13:34,220 I would argue we're already there. 232 00:13:34,419 --> 00:13:34,929 Why? 233 00:13:35,209 --> 00:13:40,110 Because my experience has been that by the time we learn about it, it's already 234 00:13:40,119 --> 00:13:43,530 happened at least 10 years or 15 years. 235 00:13:43,945 --> 00:13:48,955 All that stuff you see in those sci fi movies, but to get into the movies, it's 236 00:13:48,965 --> 00:13:51,575 all, in my opinion, it's already occurred. 237 00:13:52,195 --> 00:13:52,695 Okay? 238 00:13:52,935 --> 00:13:57,094 So, another way of looking at it, pretty similar, uh, you can start with artificial 239 00:13:57,094 --> 00:14:02,315 neural intelligence, uh, again, real basic stuff, Alexa and the things we were 240 00:14:02,315 --> 00:14:07,455 talking about, the machine intelligence, uh, in, in the middle level, and the 241 00:14:07,465 --> 00:14:15,260 super intelligence At the higher level, the title of our topic this morning is 242 00:14:15,290 --> 00:14:21,110 the children, the children, let's leave aside our adult adult concerns and whether 243 00:14:21,110 --> 00:14:26,799 we're comfortable or not comfortable, but let's put on that had a parent or teacher. 244 00:14:27,130 --> 00:14:34,390 Or a supervisor or or caregiver or whatever we want to call it, but let's 245 00:14:34,400 --> 00:14:36,900 look at the children and organization. 246 00:14:36,900 --> 00:14:40,479 I did not know this before that that has done a lot of work 247 00:14:40,520 --> 00:14:44,040 with artificial intelligence and artificial intelligence and children. 248 00:14:44,415 --> 00:14:50,795 Is a United Nation, um, uh, children emergency fund, international children 249 00:14:50,795 --> 00:14:54,305 emergency fund, and they have a lot of programs for children around the 250 00:14:54,310 --> 00:14:59,525 world because as you know, um, of the kids in the United States, uh, 251 00:14:59,585 --> 00:15:03,095 may not have the same relationship with the artificial intelligence as 252 00:15:03,100 --> 00:15:05,240 they might in the continent of Asia. 253 00:15:06,105 --> 00:15:08,745 Japan, China, Singapore, et cetera. 254 00:15:08,785 --> 00:15:12,865 Indeed, I would argue that in those cultures, they're even more involved 255 00:15:12,875 --> 00:15:16,605 with artificial intelligence, and they use it more effectively 256 00:15:16,605 --> 00:15:17,785 than we do in this country. 257 00:15:18,195 --> 00:15:20,804 But my point is, this is our future. 258 00:15:20,994 --> 00:15:23,885 This is our future, our present and our future. 259 00:15:24,255 --> 00:15:30,474 And certainly as adults, certainly as parents, we have an obligation to learn 260 00:15:30,474 --> 00:15:36,165 enough To be able to advise or encourage or lead them in the right direction. 261 00:15:36,355 --> 00:15:38,955 My opinion, artificial is not going away. 262 00:15:38,995 --> 00:15:41,254 So just, just, just deal with that. 263 00:15:41,655 --> 00:15:43,095 Yeah, it's not going to go away. 264 00:15:43,115 --> 00:15:46,895 Just like computers didn't go away and Apple phone didn't go away. 265 00:15:47,065 --> 00:15:48,944 They just grow and grow and grow. 266 00:15:49,304 --> 00:15:51,365 Um, so we need to deal with that reality. 267 00:15:51,975 --> 00:15:57,135 But my point is that we're not alone, that, that the whole world recognizes, 268 00:15:57,865 --> 00:16:02,014 uh, and is trying to come up with ideas About how to help our children. 269 00:16:02,014 --> 00:16:07,704 So my point is I would encourage you Uh as you use your handheld computer your cell 270 00:16:07,704 --> 00:16:13,555 phone your iphone or android, whatever you have That that go to the united nations 271 00:16:13,555 --> 00:16:17,874 and look up information About children and how you can help children if you are a 272 00:16:17,874 --> 00:16:22,074 sunday school teacher Look up information about children whether you have kids 273 00:16:22,084 --> 00:16:27,965 yourself or not Uh, because we have a duty in my judgment as adults To help those 274 00:16:27,965 --> 00:16:32,720 future generations that follow us And to make sure that they are not sort of 275 00:16:32,720 --> 00:16:36,920 left to the wolves, if you will, uh, and that, that we help to take care of them. 276 00:16:37,150 --> 00:16:42,249 So, what are some of those casual conversations, um, that you 277 00:16:42,249 --> 00:16:45,110 should have with your children about artificial intelligence? 278 00:16:45,910 --> 00:16:50,550 And it doesn't matter what age your children are, um, uh, they can be 279 00:16:50,944 --> 00:16:56,175 Four or five in preschool, uh, or, or they can be in high school or in 280 00:16:56,175 --> 00:16:58,185 college or junior college or whatever. 281 00:16:58,344 --> 00:17:01,314 And you first want to have a good conversation where you just sit down 282 00:17:01,324 --> 00:17:04,304 with them and say, uh, do, do you know what, what, what, what do you 283 00:17:04,304 --> 00:17:05,704 know about artificial intelligence? 284 00:17:06,315 --> 00:17:11,275 Number one, I will predict you will be surprised what they know, uh, because 285 00:17:11,295 --> 00:17:14,704 there's going to be much more than what you think they know, in my opinion. 286 00:17:15,295 --> 00:17:17,415 But, but why do you want to ask that question? 287 00:17:17,825 --> 00:17:23,585 I'm a big believer in, in all of my years of trying to teach and lead or whatever, 288 00:17:23,865 --> 00:17:27,514 is that the most effective leadership is you meet people where they are. 289 00:17:27,974 --> 00:17:31,055 You don't tell people where they should be, because most of the time they don't 290 00:17:31,055 --> 00:17:31,975 understand what you're talking about. 291 00:17:32,534 --> 00:17:33,745 You know, they'll, they'll say, yeah. 292 00:17:34,260 --> 00:17:35,510 But, but they are going to do the thing. 293 00:17:35,750 --> 00:17:39,290 But, but you try to find out where, where are you and, and how, 294 00:17:39,290 --> 00:17:40,810 how can I get to where you are? 295 00:17:41,160 --> 00:17:44,010 And so my point is to use that same approach with children. 296 00:17:44,570 --> 00:17:45,840 Don't act like a parent. 297 00:17:46,070 --> 00:17:47,060 Act like a friend. 298 00:17:47,330 --> 00:17:49,500 Act like a friend who's trying to get information. 299 00:17:49,849 --> 00:17:50,289 Okay? 300 00:17:51,240 --> 00:17:53,850 So the first thing you say, well, what, what, what do you know about 301 00:17:53,850 --> 00:17:55,770 artificial intelligence, little Johnny? 302 00:17:56,950 --> 00:18:01,230 Uh, then, uh, so how, how are you using artificial intelligence? 303 00:18:01,230 --> 00:18:02,409 Hello, Johnny. 304 00:18:02,409 --> 00:18:03,060 We'll tell you. 305 00:18:03,465 --> 00:18:06,544 And it could go back to, what are some of those Christmas presents 306 00:18:06,544 --> 00:18:07,675 that you bought, Lil Johnny? 307 00:18:08,250 --> 00:18:11,760 Uh, did, did you buy them little cute toys that talk to them, 308 00:18:12,650 --> 00:18:16,020 that, that, that are remote, that could do things by themselves? 309 00:18:16,260 --> 00:18:16,940 Did you do that? 310 00:18:17,410 --> 00:18:19,230 Do they have a cell phone? 311 00:18:19,770 --> 00:18:21,889 When, when did you get them a cell phone? 312 00:18:21,890 --> 00:18:27,774 I, I, I, I have, um, Uh, we have six grandkids and, uh, three sons of 313 00:18:27,935 --> 00:18:31,784 one of our children who lives in San Diego, and two of the boys, and, and 314 00:18:31,784 --> 00:18:35,144 they, uh, two of the boys have cell phones, but the youngest did not. 315 00:18:35,154 --> 00:18:35,834 He was 10. 316 00:18:36,254 --> 00:18:39,235 And the last time I visited, he said, Oh, Grandpa, I want a cell phone. 317 00:18:39,235 --> 00:18:40,145 I want a cell phone. 318 00:18:40,574 --> 00:18:43,604 So I said to my son, I said, you know, get the boy a cell phone. 319 00:18:43,635 --> 00:18:44,534 He's 10 years old. 320 00:18:44,564 --> 00:18:45,635 Come on, come on. 321 00:18:45,635 --> 00:18:46,774 What kind of parent are you? 322 00:18:49,225 --> 00:18:50,875 I beat up on my kids all the time. 323 00:18:51,065 --> 00:18:53,305 So my son, I talked with him this week. 324 00:18:53,495 --> 00:18:58,794 He said, I want to let you know that Maxwell has a cell phone, you 325 00:18:58,795 --> 00:19:02,674 know, and I'm going to give him your number so he can call you. 326 00:19:05,740 --> 00:19:10,620 So my point is, it is inevitable that the kids are going to grow up with 327 00:19:10,649 --> 00:19:12,629 technology, so don't try to fight it. 328 00:19:12,780 --> 00:19:15,840 Figure out ways that you can control it and make it work for you. 329 00:19:16,469 --> 00:19:20,209 Third, third question to ask your kids is, do you believe 330 00:19:20,209 --> 00:19:23,889 that artificial intelligence is good, or do you believe it's bad? 331 00:19:24,350 --> 00:19:25,580 Why do you ask that question? 332 00:19:25,590 --> 00:19:28,870 What you're trying to do is you're trying to prove where they're coming from. 333 00:19:29,310 --> 00:19:30,250 Are they all in? 334 00:19:30,290 --> 00:19:32,190 Do they think it's just the greatest thing in the world? 335 00:19:32,190 --> 00:19:35,620 Have they never heard a bad thing about artificial intelligence? 336 00:19:35,900 --> 00:19:37,130 Are they midway? 337 00:19:37,540 --> 00:19:40,240 Uh, or do they just try to stay away from it? 338 00:19:40,450 --> 00:19:45,380 I'm going to suggest that most of them love it or they're sort of midway 339 00:19:45,380 --> 00:19:49,555 because I'm, I believe that, that most of the kids have been embracing 340 00:19:49,555 --> 00:19:51,325 this long before we adults did. 341 00:19:51,535 --> 00:19:55,145 And the fourth, and I think one of the real parent type questions, 342 00:19:55,575 --> 00:19:58,825 you need to be in contact with that, your, your child's school. 343 00:19:59,675 --> 00:20:02,694 You need to know what the policies are about artificial intelligence. 344 00:20:03,014 --> 00:20:06,475 You may have that straight A student who may end up getting in 345 00:20:06,485 --> 00:20:12,850 trouble because she went to the web, uh, did her paper about, um, uh, 346 00:20:12,850 --> 00:20:16,309 slavery at Yale university in 1700s. 347 00:20:16,580 --> 00:20:19,240 And use artificial intelligence to write that paper. 348 00:20:19,790 --> 00:20:23,830 And the school may say, no, you can't use AI to write a paper and get into trouble. 349 00:20:23,910 --> 00:20:30,260 So my point is That as a parent, you need to be clued in to how your children are 350 00:20:30,270 --> 00:20:33,130 using artificial intelligence in school. 351 00:20:33,570 --> 00:20:35,780 And trust me, they are using it in school. 352 00:20:35,860 --> 00:20:37,969 It's, it's, they can't avoid it. 353 00:20:39,060 --> 00:20:41,990 But as parents, you need to be aware of that so that it's not 354 00:20:42,040 --> 00:20:43,409 when something bad has happened. 355 00:20:44,015 --> 00:20:47,375 And you have to go down to the school to have a meeting, but you know what 356 00:20:47,395 --> 00:20:51,574 your kids are doing so that you can direct them and make sure and guide 357 00:20:51,574 --> 00:20:53,824 them into doing things the proper way. 358 00:20:54,024 --> 00:20:56,715 Again, another way of looking at the different levels. 359 00:20:56,784 --> 00:21:01,914 I like the different stages, uh, because I, I think it, it, it sort 360 00:21:01,914 --> 00:21:06,245 of talks about, um, uh, it helps us to understand it much better. 361 00:21:06,405 --> 00:21:09,035 Again, the first stage, the machine learning stage. 362 00:21:09,395 --> 00:21:14,315 This is your Siri, and your Alexis, and your Cortanas, and your bots, 363 00:21:14,325 --> 00:21:17,675 those cute little things, the little toys you get at Christmas. 364 00:21:17,925 --> 00:21:21,195 The middle level, again, is the more advanced. 365 00:21:21,434 --> 00:21:24,964 Uh, the machines that are used in hospitals, the robots that 366 00:21:24,965 --> 00:21:28,675 are used in hospitals, in surgery and other places, and then the 367 00:21:28,675 --> 00:21:31,385 cognitive, the machine consciousness. 368 00:21:32,294 --> 00:21:38,264 Um, and I can tell you that the controversy with artificial intelligence, 369 00:21:38,584 --> 00:21:42,534 and we'll get to a slide on this, is something called sentiments. 370 00:21:43,325 --> 00:21:44,695 I may have mentioned this before. 371 00:21:45,214 --> 00:21:46,084 Sentiments. 372 00:21:46,235 --> 00:21:49,624 Quite honest, I hadn't really heard that word before until about last year when 373 00:21:49,624 --> 00:21:51,975 I started doing a lot of research on it. 374 00:21:51,975 --> 00:21:54,465 Sentiments means machine emotions. 375 00:21:54,815 --> 00:21:56,085 Now that's a contradiction. 376 00:21:56,575 --> 00:21:59,125 If it's a machine, how can it have emotions? 377 00:21:59,155 --> 00:21:59,995 It's not humans. 378 00:22:00,564 --> 00:22:01,764 Only humans have emotions. 379 00:22:01,765 --> 00:22:02,114 Sentiments means machine emotions. 380 00:22:04,025 --> 00:22:05,525 Well, well, guess what? 381 00:22:08,035 --> 00:22:11,205 Where we're going, and I believe, because again, I don't 382 00:22:11,205 --> 00:22:12,565 really trust what they tell me. 383 00:22:13,125 --> 00:22:14,235 That's just the way I think. 384 00:22:14,545 --> 00:22:17,475 Uh, I, I think by the time they tell me it's already been 385 00:22:17,475 --> 00:22:18,944 there for five to ten years. 386 00:22:19,395 --> 00:22:23,755 Um, and, and we'll come back to this, but I can tell you what the ultimate is. 387 00:22:24,135 --> 00:22:28,225 Is if your machine can think, can it then control you? 388 00:22:28,835 --> 00:22:29,545 Think about that. 389 00:22:30,095 --> 00:22:34,764 If I say, Alexa, turn on the lights and Alexa said, you know what? 390 00:22:35,655 --> 00:22:38,745 You weren't very nice to me yesterday. 391 00:22:38,754 --> 00:22:44,105 You, you, you raised your voice at me when you gave me a command and I still remember 392 00:22:44,105 --> 00:22:47,165 that and I'm, I'm a sensitive bot. 393 00:22:47,235 --> 00:22:51,764 I'm a sensitive machine and because you weren't nice to me, I 394 00:22:51,765 --> 00:22:54,925 don't think I'm going to turn on the lights for you and emotions. 395 00:22:55,895 --> 00:22:57,665 Think about love, right? 396 00:22:57,685 --> 00:22:59,155 Think about relationships. 397 00:22:59,385 --> 00:23:01,945 Do you understand everything that happens in a relationship? 398 00:23:01,955 --> 00:23:04,975 No, because they're related, they're emotions. 399 00:23:05,005 --> 00:23:06,145 They aren't logical. 400 00:23:06,575 --> 00:23:09,594 So you're trying to figure out this and that and blah, blah, blah. 401 00:23:09,925 --> 00:23:12,565 You know, machines, I think, are already there. 402 00:23:13,065 --> 00:23:15,835 Even though they said, no, no, no, we're not there yet. 403 00:23:15,835 --> 00:23:17,425 I, I, I don't believe them. 404 00:23:17,985 --> 00:23:20,705 Again, it's in the same information, just in a different way. 405 00:23:21,114 --> 00:23:25,004 Um, artificial intelligence, machine learning, deep learning. 406 00:23:25,094 --> 00:23:27,854 I believe that we're already at the deep learning level. 407 00:23:28,304 --> 00:23:30,395 Let me say a quick word about chatbot. 408 00:23:30,445 --> 00:23:33,495 Chatbot is a term that Microsoft created. 409 00:23:33,725 --> 00:23:37,294 And it's basically these cute little programs that, uh, 410 00:23:37,345 --> 00:23:38,814 where the machines talk to you. 411 00:23:39,455 --> 00:23:41,664 And they're, they're, they're very, very pretty. 412 00:23:41,664 --> 00:23:44,764 And, and you, you've seen them on, in movies. 413 00:23:45,124 --> 00:23:51,475 And they're very, um, nice looking and non threatening types of machines. 414 00:23:51,784 --> 00:23:57,575 Um, uh, but I can assure you, uh, that they're machines nevertheless, 415 00:23:57,865 --> 00:24:01,455 and it doesn't matter what they look like, it's what they can do. 416 00:24:01,874 --> 00:24:04,935 Clearly one of the things that we use in surgery, and I talked about this, uh, 417 00:24:05,440 --> 00:24:10,170 Um, I think last year is robotics has brought, basically taken over surgery, 418 00:24:10,490 --> 00:24:14,850 meaning that the majority or large percentage of surgeries that are done 419 00:24:14,850 --> 00:24:19,400 now are done with, with some type of robotic therapy, which is a good thing. 420 00:24:20,179 --> 00:24:24,270 One of the good things about robots or non invasive types of surgery or 421 00:24:24,499 --> 00:24:28,750 robotic invasive types of surgery is you have smaller incisions. 422 00:24:28,950 --> 00:24:30,720 You have smaller incisions. 423 00:24:31,335 --> 00:24:34,245 And if you've ever had a surgery or you know someone who's had 424 00:24:34,255 --> 00:24:37,765 major surgery, one of the things they complain about is the pain. 425 00:24:37,815 --> 00:24:38,755 What's the pain from? 426 00:24:38,755 --> 00:24:41,955 The pain is from that big incision, if they've had a big incision. 427 00:24:42,465 --> 00:24:46,665 Think about gallbladder surgery, where you can do it laparoscopically or robotically 428 00:24:46,965 --> 00:24:51,465 with just, just little pinpoint, uh, incisions, or you can do it, have it 429 00:24:51,495 --> 00:24:53,255 the old fashioned way with a long. 430 00:24:53,545 --> 00:24:54,195 Incision. 431 00:24:54,695 --> 00:24:59,415 Um, so it's clearly beneficial and there are obviously benefits to other types of 432 00:24:59,415 --> 00:25:03,964 artificial intelligence, but the chat bot and we're talking about kids now and one 433 00:25:03,964 --> 00:25:09,044 of the ways to get the kids to do stuff, right, is to make it attractive to them. 434 00:25:09,354 --> 00:25:11,594 How do you make things attractive to children? 435 00:25:12,054 --> 00:25:13,195 You make them cute. 436 00:25:13,915 --> 00:25:15,615 You give them cute names. 437 00:25:15,625 --> 00:25:20,575 You put them on, you know, you make them cartoonish, you know, cuddly. 438 00:25:21,390 --> 00:25:24,980 You know, think of dolls and teddy bears and on and on and on and on and on. 439 00:25:25,750 --> 00:25:28,600 But a machine is a machine is a machine. 440 00:25:29,150 --> 00:25:31,119 And it's one of the things that you want to keep in mind. 441 00:25:32,499 --> 00:25:38,430 So whatever color they are, uh, and whatever, uh, baby voice they may have, 442 00:25:38,950 --> 00:25:41,790 A machine is a machine is a machine. 443 00:25:43,210 --> 00:25:46,310 What are some of the important uses of artificial intelligence? 444 00:25:46,440 --> 00:25:51,250 Well, one of the things that we use AI for, particularly healthcare and in other 445 00:25:51,550 --> 00:25:53,740 industries also, is to make predictions. 446 00:25:54,290 --> 00:25:55,300 So what are predictions? 447 00:25:55,389 --> 00:26:01,290 Let's say you're a CEO, chief executive officer of a small company, and you 448 00:26:01,290 --> 00:26:06,430 sell, uh, widgets in your company, and you're competing with other 449 00:26:06,430 --> 00:26:08,140 companies along the same street. 450 00:26:08,705 --> 00:26:13,385 And you're trying to decide how many employees you should have, how big 451 00:26:13,395 --> 00:26:18,115 your widget should be, what, what your customer likes the most about your 452 00:26:18,115 --> 00:26:19,855 widgets as compared to other widgets. 453 00:26:20,425 --> 00:26:24,735 And one of the ways that companies do that is by doing research, 454 00:26:24,985 --> 00:26:26,845 uh, about their customers. 455 00:26:27,185 --> 00:26:31,958 Um, and what, what computers can do, particularly supercomputers, or the 456 00:26:31,958 --> 00:26:37,244 chatbots, or those types of computers, AI computers, they can do that in seconds. 457 00:26:37,874 --> 00:26:39,439 S C C O N D S. 458 00:26:39,880 --> 00:26:45,470 Seconds, not minutes, not hours, not days, seconds. 459 00:26:45,840 --> 00:26:49,939 If you doubt that, I would encourage you to go to your laptop computer or 460 00:26:49,959 --> 00:26:53,819 go to your cell phone and open up the chat bot that's on your cell phone, 461 00:26:53,820 --> 00:26:55,790 and you do have it on your cell phone. 462 00:26:56,119 --> 00:27:01,512 Um, I use Apple and the name of the artificial intelligence is Copilot. 463 00:27:01,512 --> 00:27:07,604 And I push the button for Copilot and I ask Copilot a question. 464 00:27:09,225 --> 00:27:12,435 What's the population of La Puente, California? 465 00:27:12,805 --> 00:27:15,965 And Copilot will give me that answer in less than 30 seconds. 466 00:27:16,785 --> 00:27:18,645 Less than 30 seconds. 467 00:27:19,115 --> 00:27:20,094 I like speed. 468 00:27:20,590 --> 00:27:20,940 Right? 469 00:27:21,470 --> 00:27:23,440 So anything that gives me information that fast. 470 00:27:23,500 --> 00:27:24,490 I love it. 471 00:27:24,850 --> 00:27:25,409 I love that. 472 00:27:25,639 --> 00:27:26,450 What's my point? 473 00:27:26,690 --> 00:27:31,860 My point is that there was a lot of technology, probably a lot of jobs 474 00:27:32,180 --> 00:27:37,659 that used to help to develop, to get customers that information, those 475 00:27:37,690 --> 00:27:42,069 technologies and jobs have probably been eliminated or on the process of 476 00:27:42,079 --> 00:27:47,589 being eliminated because the artificial intelligence can do it in seconds, not 477 00:27:47,649 --> 00:27:51,764 minutes, not hours, not days, Seconds. 478 00:27:52,254 --> 00:27:57,445 Uh, and as I mentioned a long time ago, think about it as the repository for the 479 00:27:57,445 --> 00:28:00,445 world's biggest for the world's library. 480 00:28:01,024 --> 00:28:04,895 Everything that that's occurred with these 8 billion people. 481 00:28:05,360 --> 00:28:09,550 This population of the world now that's been said, written, or whatever is in 482 00:28:09,550 --> 00:28:15,650 one library, that one library has been reduced to an artificial intelligence 483 00:28:15,690 --> 00:28:18,320 machine, and it is at your fingertips. 484 00:28:18,879 --> 00:28:20,320 It is at your fingertips. 485 00:28:20,640 --> 00:28:25,120 That's where we are in, in, in today's, 2024. 486 00:28:25,580 --> 00:28:28,970 And so as a result, it's a huge advantage to CEOs. 487 00:28:29,280 --> 00:28:32,899 Uh, because if I can get that information, I can make decisions very, very fast. 488 00:28:33,129 --> 00:28:34,970 I don't have to spend a lot of money with it. 489 00:28:35,129 --> 00:28:40,349 And then that, that boosts my, my business or whatever I'm trying, I'm trying to do. 490 00:28:40,590 --> 00:28:41,609 Uh, decisions. 491 00:28:41,820 --> 00:28:45,620 One of the ways that it helps physicians keep in mind that as doctors, we 492 00:28:45,620 --> 00:28:48,680 go to medical school, we study all these books and all that stuff. 493 00:28:49,075 --> 00:28:52,315 And we take all these exams and then we have to stay up to date 494 00:28:52,325 --> 00:28:54,655 by reading all these magazines and blah, blah, blah, blah, blah. 495 00:28:54,805 --> 00:28:56,515 It's a lot of data and information. 496 00:28:56,995 --> 00:29:05,305 If I can go to my, uh, um, artificial intelligence device and say, if I do an 497 00:29:05,305 --> 00:29:10,945 operation on a patient who's 50 years old who weighs X amount of pounds, what are 498 00:29:10,945 --> 00:29:13,145 the risks and benefits of that operation? 499 00:29:13,500 --> 00:29:14,150 That I might do. 500 00:29:14,570 --> 00:29:15,419 Seconds. 501 00:29:16,010 --> 00:29:17,130 I get that information. 502 00:29:17,570 --> 00:29:20,720 Not minutes, not days, not weeks. 503 00:29:21,100 --> 00:29:21,979 Seconds. 504 00:29:22,139 --> 00:29:24,959 So imagine what that does with my time. 505 00:29:25,360 --> 00:29:28,350 It's, oh my goodness, if I can figure that out, then I can take that 506 00:29:28,350 --> 00:29:29,580 other time and do something else. 507 00:29:29,589 --> 00:29:34,359 So again, you, you see what the utility is and, and why is it 508 00:29:34,360 --> 00:29:39,110 that, um, um, these things have taken off, they have taken off. 509 00:29:39,590 --> 00:29:41,050 I, I put this slide together.