Everyday Ethical AI

AI Transparency Now 🗣️

What do US people think about AI and whether AI tools can be trusted for making decisions about us? Spoiler: we don’t trust them. Here’s a summary of one recent survey from Consumer Reports about what we think, and why we're not wrong to distrust the AI tools. Get full access to Everyday Ethical AI at karensmiley.substack.com/subscribe [https://karensmiley.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Big ears are everywhere, and everyone really IS out to get you ... 🗣️

You know those anecdotes we’ve heard about how some people feel like their cell phones might be listening to their ‘offline’ in-person conversations and selling that info to marketers? And we’ve wondered if there’s anything to it? Many people have scoffed at these concerns, and some technical people have put forth seemingly logical explanations for why this apparent behavior doesn’t mean we’re being spied upon. But those suspicions might not be wrong after all. This episode shares highlights of the evidence relating to Cox Media Group using 'Active Listening' to spy on people, briefly describes how they do it, how they get away with it legally, and what you can do to stop it. Get full access to Everyday Ethical AI at karensmiley.substack.com/subscribe [https://karensmiley.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

"But I don't use AI": 8 Sets of Examples of Everyday AI, Everywhere 🗣️

I recently contacted someone who works in a non-technical profession to ask if I could interview them for “AI, Software, & Wetware [https://sixpeas.substack.com/p/aisw-interviews]”. Their initial response: “Not sure I would be of any help. I don’t even know what AI is.” And it’s obviously totally okay to not know what AI is or how it works under the hood! We don’t have to be auto mechanics to understand how to drive a car safely. And for our “AI, Software, & Wetware” interviews [https://sixpeas.substack.com/p/aisw-interviews], I specifically WANT to talk to humans worldwide who DON’T write software or develop AI models for a living. Why? Because it’s actually very hard nowadays for most of us to get through a week, or even a day, of life without interacting in some way with a system using AI (artificial intelligence) or ML (machine learning). This episode shares concrete examples in 8 different areas of daily life to help folks see where and how AI is affecting our lives in ways that might not be obvious. 1. ‘Smart’ Cell Phone (smartphone) 2. Social Media 3. Streaming Movies or Music 4. Shopping 5. Traveling 6. Health Care 7. Weather Forecasting 8. Web Browsing and Searching Bottom Line: The few examples in these 8 sections aren’t even remotely an exhaustive list of how AI and ML impact our lives today. If you can truly say that you don’t do any of these things, then maybe you don’t actually ever ‘use’ AI - congratulations, you’re a rarity nowadays, and I’d love to hear from you! Otherwise, congratulations, you’re an AI user too; welcome to the wild world of AI in 2024 and beyond! Agile Analytics and Beyond [https://karensmiley.substack.com] is a FREE, 100% reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Get full access to Everyday Ethical AI at karensmiley.substack.com/subscribe [https://karensmiley.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Mapping "AI, Software, & Wetware" interview guest locations 🗣️

When I said [https://karensmiley.substack.com/p/humans-of-new-york-for-ai-real-stories/?r=3ht54r] I want to feature guests from all over the world to hear & share their views on AI and how it’s affecting their lives, I meant it. 😊 And that means I’m analyzing data on where committed and future guests for “AI, Software, & Wetware” are based (along with other demographics). Here’s a quick summary of how my global search for guests is coming so far, as of Sept. 5, 2024. The Substack article includes an interactive, zoomable view [https://www.datawrapper.de/_/rmE1X/] of the locations of interview guests. This dataset includes 53 guests for published interviews, completed interviews that are in production, and planned interviews. If YOUR area of the map is open or sparse, I’d love to chat with you about potentially featuring you as a guest! (anonymous or with credit, text or text+audio) DM or email me, or see these AISW Guidelines [https://sixpeas.substack.com/p/aisw-interview-guidelines?r=3ht54r] to learn more. Get full access to Everyday Ethical AI at karensmiley.substack.com/subscribe [https://karensmiley.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Using water and compute cycles to save lungs and lives 🗣️

Here’s some good news about an AI tool I discovered today that adds real value to the world by improving accuracy and efficiency for diagnosing lung conditions from chest X-rays. This episode also includes some tips on the biggest myths about lung cancer, and a few things we can all do to reduce the hit it will take on us and those we love. For more information about lung cancer diagnosis and early detection, see lungevity.org [https://www.lungevity.org/lung-cancer-basics], lungcancerresearchfoundation.org [https://www.lungcancerresearchfoundation.org/for-patients/how-do-you-know-if-you-have-lung-cancer/], and lcrfresources.org [http://www.lcrfresources.org/]. This post is public. Please share freely to help raise awareness about lung cancer! Thank you. Get full access to Everyday Ethical AI at karensmiley.substack.com/subscribe [https://karensmiley.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]