Privacy Please
A genuine and informative podcast about data privacy and security. Your reliable place for best practices, interviews, belly laughs, and real stories.
Privacy Please
S5, E203 - Is Privacy at Risk in the Age of Artificial Intelligence?
This week on Privacy Please, we'll dissect the challenges that technologists face in harmonizing AI and privacy in their systems, and consider the state of AI governance laws that are shaping our digital future. Plus, get ready for a tale that hits close to home, shedding light on real-world privacy concerns that could affect any of us.
Hi ladies and gentlemen. Welcome back to a privacy, please. Camera and Ivy here with Gabe Gums. So you got a new Wi-Fi. I had a wife.
Speaker 2:I know I'm telling Cameron the name of the Wi-Fi, which is hilarious, but I'm hesitant to repeat it out loud, and here's why my inner attacker Like.
Speaker 2:I own a pineapple Wi-Fi right like and it's loaded. It's a rogue access point and it's loaded with lots of common access point names that people connect to and a lot of your access points you probably automatically connect to, like the one at home. You know the name of it so you automatically connect to it and if your device were to wander by mine and I had a name that was the same as the one you connect to at home, it will. It will try and connect sure yeah.
Speaker 2:And then and then, if I allowed it to and you just connected, now you're connected.
Speaker 1:I don't know. I mean, I'm sure there's other creative people out there that might have made the same name. It's possible?
Speaker 2:It's possible. There's a lot of fun Wi-Fi names out there, though. You know you got your old school just trying to pretend you're the FBI ones and the NSA and whatnot. Those are always good.
Speaker 1:Yeah, we'll see if anybody can guess. I had a detective that came by my house today. That was interesting. It's cuz they first of all was like that's not a regular cop.
Speaker 2:Right, it's guy.
Speaker 1:That's a good guy. No, it's coming after me.
Speaker 2:That's not a clip on.
Speaker 1:Even though I know I don't do anything bad, I still kind of like what's this for?
Speaker 2:see, isn't that what privacy is all about, though? Like that is the heart and soul of privacy. It is not whether or not you have something to hide. It is your right to be able to keep those things to yourself.
Speaker 1:Yeah, that's gold.
Speaker 2:Yeah, I don't what, that guy showing up at your doorstep, I don't want to get my doors down.
Speaker 1:No, it's for. It's because of my ring cameras. They're looking for somebody and seeing if I, because they pass on pass by see if I came on my camera. I Can. It never happens that I get asked that a lot, though there's usually some activity that happens and I never can catch anybody on the cameras, unfortunately. So ring I mean fortunately maybe or fortunately, yeah, yeah, maybe I don't want to be involved.
Speaker 2:Well, I mean, I would like to help that close to your home, yeah.
Speaker 1:I'd like to help anyways, so Got an article here three ways to succeed in the rapidly changing AI landscape. Everybody's always talking about this landscape of changing.
Speaker 2:Change in AI. I Guess it's fair to say that a we're never gonna did not be talking about AI, which is okay. It is here. Yeah, it is here with us, it is.
Speaker 2:What is still not here with us, though, is any meaningful way for, or the unwashed masses of technologists, which is to say, not the people that spend their time steeped in just this one topic, but many of us spend our time steeped in multiple different topics in technology and security. We don't just live in any one of them, but there's. I still find it a struggle to in any again meaningful way for the unwashed masses unwashed masses to articulate how they can adopt better AI and privacy practices inside of their own organization. Now, I will tell you that, coming off of last week's episode, I think the place to start is A not separating security from privacy. Right, that's. The first mistake that I think is going to be made is somehow thinking about AI security differently than AI privacy, which I'm already seeing. Which I'm already seeing, and I feel like this article is kind of leaning into that problem a little bit more.
Speaker 1:I'll just hit it from the top with the three primary things that this, and before you do that, what do you mean by you hope that they don't. You don't want them to separate the two.
Speaker 2:I mean, I know what you mean, but yeah, protecting the privacy of individuals through the use of AI technology or with the use of AI technology, or individuals that organizations that are leveraging AI technology for whatever the case may be, and us as individuals that are interacting with it and or our information is going to it. The conversations about AI security are usually just that they're compartmentalized to just securing the AI itself, and conversations about AI privacy are usually siloed equally to just be talking about privacy, and I don't hear where those two things are talked about holistically AI privacy and security, or vice versa, whatever order you want to put those in, and a lot of the advice that I see come out of it. A is a little pithy, right, it is. It's a little shallow and hollow, and so it leads to no greater shared knowledge. For those that don't spend their time wholly engulfed in this arena to be able to learn Is that a problem.
Speaker 2:That's generally my problem.
Speaker 1:So let's dive into those three. There's three top topics from the article.
Speaker 2:Keep track of regulatory shift. That's the number one thing that they're saying. So 2023, absolutely huge year. Lots of AI governance all over the place. The EU, china, the US they all release regulations in 2023. I don't know if that's a good thing or a bad thing. Right, like I am going to err on the side of. I'm going to err on the side of, I don't know the problem with regulation and, again, I haven't dug into this regulation, those regulations in depth in particular, but what it means for me is, equally, that that regulation is separate from all the other regulation that we're talking about.
Speaker 2:Right, like, there's no there's still no federal version of GDPR in the States, and so if we haven't even solved for privacy at that level in our, in our country, I don't really know what the rest of this goes on to cover that.
Speaker 1:I think in terms of it's interesting because remember when Taylor Swift, she made a big deal about anything you say after that first, but the only reason why I'm bringing that up is because why does it take someone like Taylor Swift to change the minds of legal requirements when it comes to AI, like that's the only reason why they're doing anything about it right now is because she complained about, you know, that person that made that the AI stuff about her and all the videos and stuff.
Speaker 2:Generally speaking, our republic, the US, is supposed to work that way. Enough people express that they would like something to be different with the way we govern, and it happens. The problem is exactly what I think you're highlighting is why did it take just necessarily this one individual?
Speaker 2:to have such an outsized voice to be able to? Because if that same individual had quietly gone around to a bunch of organizations and maybe signed some back room deals that allowed them to collect more data so they could sell more records, right, that just assumed their influence would still be used. The influence would still have an outcome. It's just it wouldn't have been for good, right? Yeah, no, your question is valid. Why aren't the larger number of voices bubbling up into that one loud roar of we've been asking for this for a long time.
Speaker 1:Right. I mean it just goes to show the power of someone that has. You know she has nothing to do with this industry, yet she speaks about it because she's affected by it, and then they make a change immediately. Are?
Speaker 2:they making that thing. That's the reason why she does have something to do with this industry. She has an extremely public figure.
Speaker 1:Yeah, yeah. So it's a good thing, obviously, because now they got some stuff in motion, but it's also kind of like what about all the people down here that have been what? The what are we doing? What are we doing? Why are we not making more effort towards all this stuff?
Speaker 2:So, anyways, so here's what we're going to do. We're going to hit the blog post on this one, right, we're going to blog it up on this one, but we wanted to just touch on some of the takeaways. Other ethical concerns was one of the other bullet points here, as is use AI for good. I think there's some, there's some good topics in this article, but really the ask to the community is to we have to help everyone around us uplift this kind of, this kind of message to the world about the change that we need to see and how we want to see it, or articles that are are hollow in support or, I'm sorry, in actionable things that we can all do. Yeah, agreed.
Speaker 2:Yeah.
Speaker 1:So if you guys want to stick around, go through a blog post on this for more details. And, gabe, appreciate you, man.
Speaker 2:You too, as always, thank you. Before we leave, we've got a couple of exciting things coming up Should we share them. We've got a couple of. We've got a couple of live shows coming up, so one we do on the 26th of March 26th of March, securely speaking Privacy.
Speaker 1:Please Live and we're going to look out for those invites and we'll.
Speaker 2:We'll drop some of those guests names shortly, but we got some great folks lined up, including including some technologists. Slash rapper oh, he's a rapper. He's a rapper, it's happening, it's happening.
Speaker 1:All right, we're going to have to freestyle on live. I might have to drop a beat or two.
Speaker 2:Versus you know what I'm saying. Can we do like a versus? Do like one podcast or something like that? We'll do a versus.
Speaker 1:Yeah, if you want, listen, we'll be right back. Listen. Well, no, but you're a good game. Thank you, man. I'm going to stay on, alrighty, then.
Speaker 1:Ladies and gentlemen, so let's go ahead and dive into this three ways to succeed in the rapidly changing AI landscape. As Gabe and I just went through those three main things, I'm going to go a little bit further in detail on this particular article. So if you have questions, things like that, you want to dive a little bit further into it, please feel free to reach out. Be happy to dive a little bit more. All right, so navigating the changing AI landscape three strategies for success. So the AI industry is expanding rapidly, just as we talked about earlier. It's going to be pretty much the main thing everybody's talking about forever now, it seems, until something else takes its place, but we're bringing it with both unprecedented growth and significant responsibility. So, again, before I dive into this, the article is by Huai Yan. Hopefully I said that right, but thank you for your research. But let's go ahead and go into this. So some of the key takeaways as AI continues to permeate various sectors, particularly large language models, llms, it's crucial for businesses to prioritize safeguarding sensitive information. Here's how companies can effectively navigate the complexities of AI while ensuring ethical and responsible use of this transformative technology. So the artificial intelligence sector is experiencing a watershed moment. In 2023 alone, ai startups collectively raised close to 50 billion, with global enterprise spending on AI projected to surpass 150 billion by 2027, according to the IDC. This surge underscores the immense significance of AI, expected to contribute a staggering 15.7 trillion to the global economy by 2030, as projected in PWC's Global Artificial Intelligence Study.
Speaker 1:As AI becomes increasingly integrated into businesses, operations and decision-making, especially with the rise of LLMs, the need to safeguard sensitive information has become more urgent than ever, and that is not something that you take lightly right? So effectively implementing AI privacy policies remains a challenge. Of course, whether adopting a generic model or a vertical approach, companies must navigate the complexities of the global regulatory landscape and ethical considerations to ensure data protection. Here are some essential strategies to help companies address these challenges and harness the full potential of AI for sustainable growth and success. And these are opinions, of course, but good ideas and good points. So number one is stay abreast of regulatory changes. The year 2023 marked a significant milestone for AI governance, with nations worldwide issuing or drafting AI regulations, the European Union, china and the United States, among others, have all introduced AI-related regulations, reflecting the lack of conscience in this field.
Speaker 1:Given the diverse regulatory approaches, multinational tech conglomerates must navigate varying regulatory landscapes across different regions. Ensuring compliance with local market regulations is essential, requiring companies to closely monitor evolving regulations and updates internal policies accordingly. Conducting thorough legal risk analysis before launching products or services is also critical to mitigate potential liabilities. Establishing robust AI governance and risk management frameworks, supplemented by internal mechanisms for risk alert and accountability, will facilitate compliance and foster innovation while upholding ethical standards. So, on that topic, let's go to addressing ethical concerns. So, as AI becomes increasingly integrated into daily life, it presents both opportunities and ethical dilemmas. Achieving a balance between embracing technological advancements and addressing ethical concerns as paramount, considering the potential societal impacts of AI deployment.
Speaker 1:The 2023 AI Index Report by Stanford University highlights the growing influence of AI, with nearly 6.5-fold increase in references to AI and legislative proceedings worldwide since 2016. This underscores the need for businesses and policymakers to confront emerging risks associated with AI adoption. Ethical considerations, such as algorithmic bias and gender representation have become central to discussing surrounding AI ethics. As AI permeates various sectors, including healthcare, banking and education, stakeholders must prioritize oversight and transparency to ensure responsible AI use. Collaborative efforts among businesses, policymakers and the public are essential to promote inclusive and ethical AI practices to mitigate potential harms. Lastly, harness AI for positive impact. Like previous technological advancements such as the Internet, the use of large language models has sparked concerns about potential disruptions. However, ai also presents immense opportunities to drive positive change across industries. Companies can leverage AI to enhance efficiency, innovation and customer experiences, while also addressing suicidal challenges. By prioritizing ethical AI development and fostering collaboration, businesses can harness AI transformative potential for the greater good. In conclusion, navigating the rapidly changing AI landscape that we always love to hear requires a multifaceted approach that balances innovation with ethical considerations and regulatory compliance. By adopting these strategies, companies can position themselves for success in an increasingly AI-driven world.
Speaker 1:Ladies and gentlemen, that's the end of the article. A lot to unpack there. There's questions, of course, and we may dive deeper into it, but if you have questions, shoot them our way. Love to hear from you. If you like this content, like and subscribe, share with your friends, share with your colleagues. Whatever, get the word out there, spread it. We want to be able to reach more and more people, just to give you the latest and greatest in privacy and security as we move along these ever-evolving changes in privacy, regulations and landscapes and technologies and all the things in between, all the things. But anyways, we really appreciate you and we'll see you next week. I'm Aaron Ivey. Over and out.
