Catherine, James, and Jae recording this episode on SquadCast

Chatting AI Ethics

Jae and James are joined by returning guest, Dr. Catherine Flick, to have a chat about the ethics of tools like ChatGPT and the general concepts of LLMs (Large Language Models) in AI. We also look at some of the privacy concerns around using such tools.
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Show Notes

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 podca[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.

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Chapter Times

  1. 00:00:04: Introductions
  2. 00:03:40: What Do We Mean By AI?
  3. 00:13:55: The Failures of Narrow AI
  4. 00:24:46: Where Does the Data Come From? 00:34:57: Dealing With Copyright 00:44:19: Creative AI and ML Tools
  5. 00:49:12: Using AI in Work and Academia
  6. 01:02:50: Feeding Personal Data
  7. 01:10:57: Wrapping Up


Intro and outro theme: Ace of Clubs by RoccoW

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