

Sandra Wachter
Associate professor and senior research fellow at the University of Oxford. Her research focuses on the intersection of law and AI, particularly algorithmic accountability.
Top 3 podcasts with Sandra Wachter
Ranked by the Snipd community

Feb 13, 2025 • 43min
How AI is being regulated: Professors Sandra Wachter and Brent Mittelstadt
Professor Sandra Wachter, an expert on AI regulation and ethics, and Professor Brent Mittelstadt, who specializes in data ethics, delve into the current landscape of artificial intelligence governance. They discuss pressing concerns like algorithmic bias, the risks of misinformation, and the challenges policymakers face in balancing innovation with accountability. The conversation highlights the need for critical evaluation of AI outputs and calls for stronger regulations to address ethical implications and societal impacts while navigating the complexities of AI technology.

Oct 22, 2024 • 34min
Siliconsciousness: In the Wilds of AI, Which Wolves are Closest to the Sled?
Sandra Wachter, a Professor of Technology and Regulation at the Oxford Internet Institute, shares her insights on the pressing issues surrounding artificial intelligence today. She emphasizes the critical need for ethical frameworks to combat bias in AI, revealing how these biases can exacerbate inequities in hiring and justice. The conversation also tackles the dangers of focusing too much on hypothetical AI threats while neglecting urgent societal challenges. Wachter highlights the importance of global collaboration to address socioeconomic disparities driven by technology.

Sep 23, 2021 • 49min
AI’s Legal and Ethical Implications with Sandra Wachter - #521
Sandra Wachter, an associate professor and senior research fellow at the University of Oxford, dives deep into the intersection of law and AI. She unpacks algorithmic accountability, focusing on issues like explainability, data protection, and biases in machine learning. Wachter discusses the challenge of black box algorithms and introduces counterfactual explanations to enhance transparency. She also highlights her conditional demographic disparity test, recently adopted by Amazon, aimed at combating bias in models and improving compliance with European non-discrimination laws.