Azeem Azhar's Exponential View cover image

Azeem Azhar's Exponential View

Azeem’s Picks: How to Practice Responsible AI with Dr. Rumman Chowdhury

Nov 1, 2023
Dr. Rumman Chowdhury, a pioneer in applied algorithmic ethics, discusses assessing and diagnosing bias in 'black box' algorithms, top-down organizational change necessary for responsible AI, and the emerging field of 'Responsible Machine Learning Operations'.
48:54

Podcast summary created with Snipd AI

Quick takeaways

  • Responsible AI demands top-down organizational change, new metrics, and systems of redress.
  • Bias in AI models must be considered in context, highlighting the challenges of explainability.

Deep dives

Importance of Responsible AI

In this podcast episode, the speaker emphasizes the importance of responsible AI implementation. They discuss how AI systems must behave ethically and fairly and highlight the need for responsible decision-making, accountability, and power dynamics in AI development. The conversation reflects on the evolution of the narrative surrounding responsible AI, from misconceptions about AI in the past to substantive questions about the role of AI in society, regulatory considerations, and the need for public awareness. The speaker also addresses the growing awareness and advocacy from the general public about the need for individual actions against AI biases and the potential negative effects of AI systems.

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