AI's Legal and Ethical Implications with Sandra Wachter - #521
Published:Sep 23, 2021 16:27
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses the legal and ethical implications of AI, focusing on algorithmic accountability. It features an interview with Sandra Wachter, an expert from the University of Oxford. The conversation covers key aspects of algorithmic accountability, including explainability, data protection, and bias. The article highlights the challenges of regulating AI, the use of counterfactual explanations, and the importance of oversight. It also mentions the conditional demographic disparity test developed by Wachter, which is used to detect bias in AI models, and was adopted by Amazon. The article provides a concise overview of important issues in AI ethics and law.
Key Takeaways
- •The article discusses algorithmic accountability, including explainability, data protection, and bias.
- •It highlights the challenges of regulating AI and the importance of oversight.
- •The article mentions the conditional demographic disparity test for bias detection, adopted by Amazon.
Reference
“Sandra’s work lies at the intersection of law and AI, focused on what she likes to call “algorithmic accountability”.”