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Crossed Wires

Chatting AI Ethics

02 May 2023

Description

We’ve probably all had fun recently giving ChatGPT, or other AI chatbots from the likes of Google, Microsoft and others, what we think are fun and innocent prompts to work on, but do we stop to consider what we’re actually feeding these tools and where the data they return comes from and what biasses may be in the machine learning models they’ve been trained on? We’re delighted to have Catherine join us again to take a deep dive into the ethics that surround the hype that is AI. We talk about the issues around copyright, data accuracy and vetting, biasses in datasets, as well as how these AI tools can never be sentient in the way that everyone’s favourite artificial intelligence, Lt. Cmdr Data was shown to be in Star Trek. What are your views on the world of AI, do you have experience using machine learning and AI models in your own work or studies? We’d love to hear from you, so please send us a note to [email protected], or why not come join the discussion on our Discord server. If you liked this episode or any of our content, we’d greatly appreciate any little bit of support you can throw our way over at our Ko-Fi page. Affiliate Promotion If you want great pricing with fantastic customer support for all your Linux based cloud computing needs, you can get $100 of free credit with Linode, cloud computing by Akamai, when you sign up here. Episode Links Catherine Flick: Website / Mastodon ChatGPT – We are not endorsing the use of this or any LLM (Large Language Mode), simply pointing to a credible source to access ChatGPT. Tay: Microsoft issues apology over racist chatbot fiasco – Early AI chatbot my Microsoft Google Photos labeled black people ‘gorillas’ – Example of AI Messing Up Adobe Unveils Firefly, a Family of new Creative Generative AI – Adobe merging AI together with their products Sharing sensitive business data with ChatGPT could be risky – Example of the risk of AI and sensitive data Chapter Times 00:00:04: Introductions 00:03:40: What Do We Mean By AI? 00:13:55: The Failures of Narrow AI 00:24:46: Where Does the Data Come From? 00:34:57: Dealing With Copyright 00:44:19: Creative AI and ML Tools 00:49:12: Using AI in Work and Academia 01:02:50: Feeding Personal Data 01:10:57: Wrapping Up Credits Intro and outro theme: Ace of Clubs by RoccoW

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