AI in Everything with Wendy Reeves from The Human Side of AI

In this special episode, I sit down with Wendy Reeves from The Human Side of AI to explore how AI is becoming part of everything...from smart glasses and drones to toys and appliances. 🧠🧸✈️

We talk:

• Real-world use cases like the 🧠 Plaud Pin & Limitless Notetakers
• Consent, surveillance, and data privacy ⚠️
• AI in the workplace and at home 🔄
• Concerns around AI in toys and recording devices 🎙️🧸
• Model Context Protocol (MCP) and how it connects AI to your data securely 🔐
• Where Claude, ChatGPT, and Gemini fit in the mix

Wendy and I are teaming up for ongoing biweekly convos, so stay tuned for future collabs featuring guests like Tim Hayden and others diving deeper into privacy, consent, and enterprise AI adoption.
 
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🔗 Links Mentioned:
🌐 The Human Side of AI: https://www.thehumansideofai.com/
🌐 Artificial Antics Newsletter (AI Bytes): https://antics.tv
👤 Mike Onslow on LinkedIn: https://www.linkedin.com/in/mikeonslow/
👤 Wendy Reeves on LinkedIn: https://www.linkedin.com/in/wendy-reeves/
💡 Model Context

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Transcript

Natasha: [00:00:00] Welcome back to Artificial Antics, where Ricoh and Mike will talk about the implications and opportunities around artificial intelligence, machine learning, and deep learning. On today's episode, AI and Everything, we talk to Wendy Reeves of the human side of AI about the opportunities, risks, and ethical concerns around AI omnipresence.

Mike Onslow: Hey everybody, this is Mike from Artificial Antics. Got another great episode for you folks. Uh, today I've got Wendy from the human side of AI back on the show. Uh, we're really excited to talk about how, uh, AI is built in everything these days. And, you know, what does that mean? Right for our worlds and what should we be watching out for?

And that means on the opportunity side and on the concern side. So with that, I'll pass it over to you, Wendy.

Wendy Reeves: Hey, Mike. Uh, I'm so happy that we have this time together. So, um, ladies and [00:01:00] gents, thank you every, anybody who's watching, uh, the replay here, uh, if you have any questions or anything, please reach out to Mike or myself. But you know, as we've mentioned, the human side of AI and artificial antics are very closely aligned.

Our pursuit of knowledge and our, and more so on the artificial antics side, what everybody's doing out there with AI and how to use AI responsibly. Um, and Mike, much more so because he does his weekly newsletter called AI Bytes that you can find on antics. Tv. Um, and we're, we've aligned our human side of AI with artificial antics and he's kind of become our, our primary podcaster.

So Mike and I have already done one episode together. He's also interviewed a number of our co-founders, including Tim Hayden of Braintrust, and. We have decided, I think, you know, every other week we're doing a Monday Zoom at [00:02:00] 11:00 AM EDT and I. We've decided we're gonna record these and drop them every other Monday at 11:00 AM and maybe send Jet a little teaser over the weekend.

But then we're gonna still have a clubhouse room on the alternate weeks on Wednesday at 11:00 AM And that said, we're going to do one of these partnership things, artificial antic and human side of ai. We're try to do once a. So we'll alternate a featured guest on maybe a, a second week, and then on the fourth week we'll drop another artificial antic and human side of AI collaboration.

So that said, um, we have different vantage points. Mike and I. So I thought it would be beneficial for you guys 'cause we discussed certain things, but I'm really not a, I don't wanna say an expert 'cause there are no experts in ai. But an AI enthusiast we're, we're both AI enthusiasts, but there are so many people, much more embroiled in ai.

[00:03:00] Um. Adoption, usage, et cetera, et cetera, than I am. I'm super high level, but the idea of the human side of AI is that we have people at all levels and that you should join us where you are and chart your own path in ai guided by the collaboration of a number of other people who are also exploring and learning on a daily basis.

So, um, I guess I'll turn it back over to you, Mike.

Mike Onslow: Yeah, absolutely Wendy. And yeah, thanks for going through that. And just for folks, uh, in case you didn't hear it, it's gonna be every other Wednesday that's at 11:00 AM and then the opposite, um, when, or the opposite Monday will be dropping, um, from 11 to 1130. Is that right, Wendy? The clubhouses on Wednesdays. The, and that the, um, either the featured guest or, you know, us recording, uh, is gonna be on that, uh, on that alternating Monday. So, yeah, with that kind of, let's jump into [00:04:00] it. Uh, Wendy, we had a, a really long precursor conversation just talking about a, a, a various subjects, right. We talked a little bit about Ag Agent ai.

We talked about some of the ways that AI is being connected to either other ais or to our data, right? Like our Google Drive. Um, we're gonna, I'm not gonna go too deep into that 'cause we're gonna follow up with a future episode. Um, but let's talk about, um, AI being built really into everything these days.

Um, I, I know about the, the applaud note taker pin, right? Where you have a little necklace or you could put a pin and you know, you're just. Maybe you're in an event. At an event, maybe you're walking around having a water cooler conversation. See, in the past, a water cooler conversation would never be recorded, but sometimes they're really valuable and you might forget them in this day and age and again, for better or for worse, right?

And that's kind of what we could talk about here. You water cooler conversation might be, Hey, let me hit my plot here and [00:05:00] let's continue this. Really interesting conversation about something, um, that may drive, you know, us forward. Right? So, um, you know, AI is, you know, there are, AI is everywhere, listening.

We're having smart glasses. Um, we've got AI in toys now, which I think is really Gs you know, that's kind of, um, it's scary honestly. Uh, you've got AI in drones, which. I think there's some real benefits to that, and it is a little bit freaky, right? Like you, you know, you, you, you've got, um, Rico and I have talked about this actually.

You've got these, um, new jets that have swarms of drones. And this is like two years old news, right? Not no surprise, but they've got these swarms of drones that keep you protected from other aircraft or anti-aircraft missiles, right? The drones just kind of go and do what they need to do. And it's a lot of it is AI powered.

And, uh, so you've also got, um, you know, [00:06:00] AI and things like, uh, you know, your appliances are, you're starting to see this right? Robotic, uh, you know, robotic, uh, ais going around and cleaning something. Right? And I'm talking more than just your Roomba, right? They're getting a little more sophisticated so they can clean the toilet now, which is a good thing.

'cause we hate that. We hate

Wendy Reeves: Sign me up.

Mike Onslow: Exactly. So, you know, let's kind of talk about, so Wendy, I'd like to get your take on the, on the high level overall of AI being incorporated into so many things and where you see the opportunities, and then also maybe some of the risks and concerns, privacy, security, whatnot.

I.

Wendy Reeves: That's a great idea because, um, like I say, I'm such a novice, is that the right word? Um, and I, I hear bits and pieces like things that I read, especially in LinkedIn, that's my kind of preferred, uh, place to absorb, um, the best content in my opinion. And I see so [00:07:00] many enthusiasts, so many really, really knowledgeable people sharing things that are a little bit too.

Detailed for me now, I don't understand all of it yet, but I'm definitely on that path and conversations will. Those of us that don't know that much to further our knowledge. Right. Because collaboration is the, is the thing, and that's my biggest, my jam too. When you get two or more of us together, I mean, whether you're talking about prayer or you're talking about collaborations, get two or more people together and that's where the magic happens.

Right? So what I'm hearing is I'm hearing things and from a number of different, so I know.

This week with a number of people in our industry that one of them uses a limitless, but, and that one I priced it, it's like $400. And, and it's really cool 'cause you can record whatever. And you know what you mentioned Claude, which is like a buck and a half, $150, which is much more, I'm not gonna drop [00:08:00] $400 on something.

I'm not sure I'm gonna like it yet. So that would be, might be, might be adequate, right? Why get something if you just wanna record stuff now. And so I. Um, Fred Santa, Fred Thorn, um, you know, when he goes to conventions. Or when he went to some past conventions and he goes around the exhibit hall or whether he is talking with the dealer or whatever he is doing.

He's not sitting there taking notes. He's not doing anything. But I'm telling you, that guy establishes rapport with people so easily, just like a Santa. But he forgets the names, right? So the idea when he is going around and, and meeting the vendors even, and of course getting his swag, of course, grabbing a selfie. He doesn't, the names or maybe the details or whatever. So the idea of something that record that, so that idea with AI is that we're. We're trying to take the tasks off of our plates, in my understanding, my grasp of [00:09:00] it. Um, so you wanna control the controllables. You wanna automate whatever you can automate that is gonna take some of the mundane tasks that you can automate off your plate so you can get, have more time to coach your teams, to be creative, to blow up your business, to have some fun, to do whatever you want.

So. Wonderful that all these things are coming out, but we have to be careful because they're changing rapidly. I mean, look at what we had two years ago, whatever it was used to be. Super, super, not proven. I mean no, no really track record established yet. So we were taking risks that we knew not of at that time.

Now we're discovering through conversations with people that are about data security. Uh, fraud prevention and et cetera, et cetera. We're discovering more and more that, that there's much more that we have to take into consideration when [00:10:00] adopting any kind of ai. So for me, what I'm seeing, getting connected, another thing on that same meeting is they talked about how.

If you're doing content that, whether it's, I think it was Claude and then they sort of mentioned Gemini, but they said that if you're doing, for example, I was asking what kind of apps are better for doing different kinds of things, and they mentioned that when they do content creation, many of them use Claude because it can link to their Google Drive.

So, but then we were talking to someone else that said there are considerations about that. So, in my world, I'm hearing all these terms, but I don't necessarily know the risk involved in connecting your data and that type of thing. So those are the questions that I have at a beginner, novice level.

Mike Onslow: Yeah. No, that, that's a good, that, that actually, that helps and it's a great starting point. So, um, I'll, I'll mention a couple of things here. You know, there's a social aspect too and a consent. Aspect to [00:11:00] especially these note takers and recording devices. So I'm gonna give you a quick story, uh, about, uh, so all in podcasts, there are four guys that run that show.

It's, I think it's the number one podcast in the world. Anyway, they're great guys. They're all these people who started like. You know, the eBays and the whatevers of the world, right? Um, but the, the one guy was talking about how he was at an event and he is sitting there with, you know, other business people at a table and somebody came up to him and he saw the pin on his, you know, jacket or whatever, and he knew what it was.

And the guy comes up, starts talking to him, he says, oh, do you mind if I, you know, record this? And I think the guy's name is Jason. And he is like, well. That depends. Do you mind if I punch you in the face? You know what I mean? Because sometimes people aren't real open, and these are tech forward people, but it's like, do you really need to record everything?

You know? There's an attitude. There's a stigma around it still, and this is why I. With the pins. One of the things they had [00:12:00] mentioned on that same exact episode is that they always need to ensure that these pins or any recording device, whether it be glasses or a pin ha, can you have a visible light.

That's blinking or doing whatever to let you know the other person that's standing in front of you let you know that they're recording. Right. And then, um, you know, Randy, you know Thomas Howe and he's really big into consent, right? So he's built a really good framework and architecture around not just recording and, and giving.

Ai, the memory, but also ensuring people's consent and then ensuring that if they wanna revoke that consent at any time, that I think is extremely important. And to, is gonna be on the show, um, in the next month or so. And we're gonna actually talk about consent because that's really important. Um, large companies are getting fried in class action lawsuits because they're not getting.

Consent, or they're getting one [00:13:00] party consent and they need two party. Not every state is a one party consent, right? So there are a lot of, um, a lot of legal, uh, battles. And I talked to Vincent Allen when he was on the show a little bit about consent. He mentioned Patagonia is one of those, right? So these big companies that were the recording the calls, even if they say.

Your call is being recorded for quality assurance. That's not good enough anymore. Right. So that's one of the trends that I've seen is, you know, people are going really far in a good way with consent, and Thomas is probably the most forward thinking on that, that I've, that I've met. Um, you know, now let's talk a little bit about, uh, you know, AI in toys.

What are, what are your thoughts there? And some of the concerns, right? Because that's, that's starting to be a thing, right? Um.

Wendy Reeves: I don't know. I mean, just, and, and I don't know exactly what you mean. I mean, I know like my daughter just had a baby, uh, back in October, my first grandchild, and I know that I got, [00:14:00] I bought the baby, this, this cactus that can record your voice and then play it back. Is that what you're talking about?

Mike Onslow: Yeah.

Wendy Reeves: my concern would be what if the kid somehow, whatever the AI in the to is, what if the kid somehow. Unwittingly activates it, and there are other conversations that you know recorded, and then where does that information go?

Mike Onslow: Yes, these are, these are my exact concerns. And, um, and you know, that's the thing, you know, when you've got AI and a teddy bear, this is like the shows where the teddy bear's on the mantle and it's recording everything except we're buying these for our kids. Right. Like, and, and, you know, it's, it's probably a little more than the recording thing that we were just talking about, like where you record your voice and whatnot.

It's more like. The dolls, the toys and whatnot. We'll interact with them. And there's like a, there's a ChatGPT type thing. I'm just gonna say that because again, artificial antics is all [00:15:00] about making AI approachable. So I'm gonna give, you know, give the facts and my thoughts in the easiest way to consume.

So just consider ChatGPT is in your, your kid's bear, right? That they're talking to. Right. What are the implications of that if it goes off the rails, you

Wendy Reeves: And you know, you know what that makes me think of right away, and I've heard him say it a couple of times in his posts is Tim Hayden always equates open AI to public toilets.

Mike Onslow: Yes, exactly right. You know, are Do you use them? Yes. Because they're unnecessary things sometimes. Right. Do you trust 'em? No, you really don't. Right? You don't know what's there. You don't know what's been there. You don't know what's going to be there or what, you know, so absolutely. You do have to, um, to really think about this.

You know, one of the things that I've talked about before, and I have an article on it, is. You know, scaling your AI solutions, and when you're building an MVP, like, you know, [00:16:00] or even a proof of, let's say, a proof of concept, let's take it to that level. Open AI can be really valuable to proof out your concept very quickly, right?

But you wanna make sure that you're using what's called synthetic data, which means that you don't have, you know, PII and people's names and addresses and emails in there, right? But to build out something and test a theory, right? Okay, we could do this with an LLM and transcription and whatever, but you don't want that to be the final product you're going to release ever with real customer data.

You know, Tim talks a lot about first party data. I. Keeping your data private, keeping your data out of these public LLMs. And I a hundred percent agree, um, you know, working for a communications company for God's sakes, like yeah, we're, we're not just throwing people stuff into OpenAI or chat GBT, it's very important not to do that.

So as you start to build, take it from a POC to a finished product, [00:17:00] this is where there are layers of bringing. That data and, and that strategy into your own private walled garden infrastructure for real, right?

Wendy Reeves: Start to clarify. POC is proof of concept.

Mike Onslow: That's

Wendy Reeves: For those that don't know. Okay, great.

Mike Onslow: Exactly. Exactly. Yeah, I'm, I'm a dirty tech guy, so sometimes I, I, I try to make ai, AI approachable, but Yeah, no, for sure, for sure. Yeah, no. Um, yeah, if I ever throw an acronym out, we, we can always explain that acronym. So, um,

Wendy Reeves: Well, like MCP that you mentioned, or did you say MVP.

Mike Onslow: Well, I said MVP, which is the minimum viable product, right?

So, yeah. So this is like with software. Um, what do we deliver that we, we can't, we have to have every feature in there or it isn't really viable, right? That's your minimum viable product, right? So, but even before that, you, you build a POC, which is a proof of the concept. Can I [00:18:00] even do

Wendy Reeves: Okay, great.

Mike Onslow: Yeah, so there are steps and stages, right?

And thanks for clarifying that. Um, we, you know, uh, MCP, just since you already said it, is something called model context protocol. And what model context protocol is doing is it's standardizing the way I. Ais talk to each other and also the way that AI applications get, uh, talk to data sources and have access to data sources.

To your point, you mentioned something about Google driving Claude Well, um, anthropic, who makes Claude. Is, uh, the designer, uh, and inventor of model context protocol. And so this is one of these really hot things. I just did a talk on it a couple of days ago in person, um, for a local Detroit meetup here, and this is, um, is something that is catching on.

And so you've got Google now is using this. So Anthropic originally came out with it. Google, it's built into Google. [00:19:00] Um, and their AI applications like Gemini, they're also their backend applications, uh, like on their Vertex ai. It's built in. Now to chat GBT, you can set up your own MCP server. So if you had, let's say you had a line of business system that again.

There's a safety factor here, folks. A risk, uh, risk versus value, right? I think, uh, Tim has, has mentioned this before and we're gonna do a follow up on this, but you could in theory connect your line of business system to your quad, um, chatbot and say, you know, how many customers, you know, did we gain this month?

Or, um, you know, how many customers do we have with an outstanding bill? How many customers that are in collections? And it's just a really quick. They just snip together, right? So MCP is. It's really awesome for this, um, the demo. I did a couple demos at my talk. One of them was for a conversational [00:20:00] intelligence, MCP and I.

I, it's all fake synthetic data, but I, I faked, you know, a couple hundred calls from a fictitious company called Feel Good Spas. And then I would ask questions like. How many calls did I take and whatever. Just in a chat bot, right? Like in in Claude, I did it in Claude. There are a couple other places, you know, pretty much anywhere now you can link this data in.

I asked questions like, Hey, what customers should I call back? Because they were unhappy. Just being able to natural language ask that question, that's really valuable and it came back and said, these are the calls. That you should, that you should review and call them back because, you know, they were pissed off.

Excuse my language about, you know, having to pay a fee even though they canceled, you know? Um, 'cause what I did with the, with the fake data generation was I generated calls that went really good. Calls that were about bookings calls that were about canceling bookings calls where people were upset. And I tracked all the sentiment in there.

So then when I [00:21:00] had that conversation and I built that ser MCP server around it. I could ask the questions and the data was already there. So then the, the LLM, which is like your, your chat, G-P-T-G-P-T, your Claude, um, then it can take the data that comes out of that, Wendy, and then it can give you back like a natural answer like you'd see from, you know, your chat cbts or your quads.

So it makes it more of a natural flow rather than you having to go and be a nerd and have your, it's really like. Do I get my data scientist involved in this or do I just have, you know, a an MCP server built around this and then I can get my answers. There's still data science in AI engineering and building this whole flow.

And that's where we're gonna go further. We're gonna talk to Tim Hayden, uh, about this in an upcoming episode here, and we're gonna go a little deeper about how you do this, right, right. At a enterprise or a medium small, medium business size level. Because there are [00:22:00] considerations and you shouldn't just link everything.

Wendy Reeves: And is that what you recommend? Like I know so many people now for the last two years since we started the human side of AI are getting into CDPs and building CDPs. But now, am I right in assuming that the, the best solution or the best overall move is the MCP over a CDP

Mike Onslow: Well,

Wendy Reeves: or not necessarily?

Mike Onslow: it's like a part of a solution, right? Like you, that this is where you'd get like a Brain Trust partners, Tim Hayden or somebody to design a solution and the MCP would be part of the solution. Yeah, so

Wendy Reeves: sense. That makes sense.

Mike Onslow: That's a great question though. Let me just mention that you could have an existing CDP with existing data in it, and you could create an MCP server to connect to your existing CDP with your other systems.

How valuable is that? So it's part of the solution. It's sort of like the hub with [00:23:00] a lot of different spokes that could come into it, right? So, yeah. Yeah.

Wendy Reeves: Okay, and that begs a lot of questions. So I'm episode.

Mike Onslow: We'll go deep. We'll go much

Wendy Reeves: Yeah. Yeah. I mean even, even like, oh my gosh. Even like, 'cause I have so many questions that people ask me. Like, for example, um, even with the usage of their data, everybody's so worried about data, data privacy, data governance, and even as a solutions provider with, um, e either EIQ performance with our, uh, AIed solutions or with bs. I have, um, vendor partners, uh, not even vendor, vendor partners also primarily because we work with dealers, but then also dealer partners that are concerned with the privacy of their data. And, and I remember years ago when we did our first remote team, we had someone attached to a [00:24:00] company server, like they had a computer and they had like a.

A hard A, a, a drive x, I mean a drive H or whatever, where they had to log into a remote desktop connection to keep the, the dealership data on their server. So is that kind of something that we're working toward just for a little snippet, but not a deep dive with an MCP? The same idea, a protected server.

Mike Onslow: Absolutely. And the beauty here is, is that you could still keep your data in those private locations and then you have authentication and security, which is really important. Then you have authorization, to your point, lends it. What lends itself to, what does this exact person, Mike Onslow have access to, if you know?

So it. It keeps everything very segmented and ensures that your data stays where it needs to stay. Right. So, yeah, that, that was great.

Wendy Reeves: So I suppose our audience should start to consider if, whether they have questions and what questions about MCP from their, their, um, you know, the [00:25:00] amount of knowledge they have today in preparation for the call you have coming down the, down the pipeline with Tim.

Mike Onslow: Yeah, absolutely. And I will, I will mention this too. One of the things that I'm seeing, uh, model context, protocol or CPS replacing are some of these, um. What, what would be in a, nor in an automation workflow, right? Like where you're, okay, I'm gonna do this and I'm gonna go connect my Salesforce in, now I'm gonna go connect whatever in, right?

And having to do all that kind of in a workflow builder, um, MCP. Allows you to keep your AI agent or your AI application, but a lot of times it's an agent kind of in the center of things, and then it can reach out and depending on what question it's been asked, it can decide what tools do I have access to and which do I need?

Wendy Reeves: So that makes me think science fiction, when you see these movies where people are going up there and touching and moving screens around with [00:26:00] their fingers

Mike Onslow: yes. Minority Report is a beautiful, I love that movie. I'm sorry. That's the big one. That's the big one. I always think of Aaron and I, uh, Aaron's my wife, Aaron. Aaron, and I love that movie. That's one of the only DVDs. It's probably still on our DVD shelf that we never actually watch anymore. But, um, yeah, minority Report was great for that, but yeah, it, it is kind of like that, right?

You've got your AI agent there and it's reaching out for, it's. Oh, I need this, and, oh, I need this. Let's, let's pull these in. And now we make this third thing based on the two things. So we'll definitely go deeper into this next time. Wendy. Um, I will link in the show notes here. I did a talk a couple of days ago on model context.

Protocol and I went a little deeper. I will go ahead and share the, my, um, notes on that with folks so that they could take a quick look and then if they have questions to your point, uh, let's go ahead and, and, and actually get a list of those so that we can address those when, uh, when, you know, we meet with [00:27:00] that, that greater, uh, group of people.

And it's definitely, I think, gonna be at least Tim Hayden, there may even be other folks that wanna have the conversation here.

Wendy Reeves: Awesome. And. They should reach out to as well. So, um, and if our human side of ai, um, audience, uh, wants to reach out to you, Mike, how do they do that?

Mike Onslow: Yeah, so there are two easy ways to do that. Uh, one is to hit me up on LinkedIn. It's just Mike Onslow, all one word, M-I-K-E-O-N-S-L-O-W. And then, um, you can also. Email me, Mike at ANTICS tv A n TCS tv. Either of those ways perfectly fine. Connect with me. I'd love to have some conversations with folks. And my whole goal with artificial antics is to make a AI accessible and approachable for folks.

Um, and then Wendy, do you wanna go ahead and let people know how they could connect with you on the human side of ai? For the folks that may not know about that yet?

Wendy Reeves: Yeah, so this is my [00:28:00] cell phone on the screen if you wanna text me directly. I'm a, I'm a 24 7 entrepreneur, so reach out anytime. 3, 3, 4, 9. And our website is www.thehumansideofai.com. You can go there to join our community. Uh, we'll ask you for your email address and that way you'll get updates and notifications of a newsletter that we, uh, joint newsletter we have coming down the pipeline as well.

But for the meantime, we're going, we fully support and recommend. Go to ANTICS TV and register for the AI Bytes newsletter that comes out weekly from artificial antics.

Mike Onslow: Excellent. Well, thanks again, Wendy for, uh, coming on the show. Really excited to release this. I'm excited to hear some of the questions that folks have about model context protocol as we start to shift into this next show. And, uh, have a wonderful rest of your weekend and we'll talk to you soon, Wendy.

Thank you.

Wendy Reeves: Yeah. One final thought. So we're doing this on Father's Day Eve when we, it [00:29:00] will be the day after Father's Day, so Hope had a great Father's Day.

Mike Onslow: Absolutely.

Wendy Reeves: Thank you for having me. I appreciate it. We'll see you. We'll see you soon on the human side of ai.

Mike Onslow: We'll see you soon, Wendy. Talk to you later. See you folks. Yep.