Episode

The EU AI Act and Mitigating Bias in Automated Decisioning with Peter van der Putten - #699

Podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Published
Aug 27, 2024
Duration seconds
2734
Processing state
failed
Canonical source
https://twimlai.com/podcast/twimlai/the-eu-ai-act-and-mitigating-bias-in-automated-decisioning/
Audio
https://pscrb.fm/rss/p/traffic.megaphone.fm/MLN9777212790.mp3?updated=1724695240
JSON
/v1/public/podcasts/twiml-ai-podcast/episodes/the-eu-ai-act-and-mitigating-bias-in-automated-decisioning-with-peter-van-der-putten-699
Markdown
/podcast/twiml-ai-podcast/the-eu-ai-act-and-mitigating-bias-in-automated-decisioning-with-peter-van-der-putten-699.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/the-eu-ai-act-and-mitigating-bias-in-automated-decisioning-with-peter-van-der-putten-699/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/twiml-ai-podcast/the-eu-ai-act-and-mitigating-bias-in-automated-decisioning-with-peter-van-der-putten-699.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

Today, we're joined by Peter van der Putten, director of the AI Lab at Pega and assistant professor of AI at Leiden University. We discuss the newly adopted European AI Act and the challenges of applying academic fairness metrics in real-world AI applications. We dig into the key ethical principles behind the Act, its broad definition of AI, and how it categorizes various AI risks. We also discuss the practical challenges of implementing fairness and bias metrics in real-world scenarios, and the importance of a risk-based approach in regulating AI systems. Finally, we cover how the EU AI Act might influence global practices, similar to the GDPR's effect on data privacy, and explore strategies for closing bias gaps in real-world automated decision-making. The complete show notes for this episode can be found at https://twimlai.com/go/699.