Imported from Use cases
AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership
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Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.
Check our website: https://2021.ai/
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef
CHAPTERS
00:00 Intro
00:53 When is collaboration between the AI Risk advisor and data scientist needed?
1:22 What important risks require this collaboration?
3:00 Data scientist perspective on risk management
3:51 How a risk assessment process will look with this collaboration
7:13 Bias in the process
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Christopher A. Lee February 13, 2026 02:35 AM Delete
Interesting discussion on AI risk! It's fascinating to see how data scientists and risk professionals are teaming up. Building ethical AI is crucial, much like mastering the physics-based aiming in Ragdoll archers . Precision and understanding the variables are key in both worlds. This partnership seems vital for ensuring AI deployment is safe and responsible. More collaborative effort leads to better outcomes.
Victoria Bentley January 28, 2026 05:39 AM Delete
This episode highlights a point I've been thinking about a lot lately – the importance of data scientists understanding the ethical implications of their work. It's not just about building a model that works, but one that's fair and unbiased. Seeing the discussion around risk assessment makes me think of some conversations I had with my friends about similar topics. We were basically strategizing how AI might impact sports analytics! It sounds like something dreamed up by Football Bros after a few too many wings. Anyway, really interesting insights here. Thanks for sharing!
Rhys Ball January 26, 2026 05:15 AM Delete
This sounds like a really important topic! The discussion about collaboration between data scientists and risk professionals is super relevant right now. It reminds me of the issues around online platforms like Omegle and how quickly things can go wrong if ethical considerations aren't baked in from the start. Glad to see AI Watch tackling this!
Matthew Adams January 26, 2026 03:10 AM Delete
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drivingGames January 24, 2026 03:12 AM Delete
Great insights on how data scientists and risk experts can jointly ensure safer, more responsible AI development across industries. drivingGames
Edward January 17, 2026 10:02 AM Delete
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Jonathan Osborne December 02, 2025 07:55 AM Delete
This is such an important topic! Bridging the gap between data scientists and risk advisors really is crucial for ethical AI. It reminds me of how teamwork is key in strategy games like Retro Bowl—everyone has a specific role to play for the win. Seeing how they establish context to identify risks early on is fascinating.
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Alex Blake November 12, 2025 09:18 AM Delete
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