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How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The Ethics and Accountability of Facial Recognition Technology

This chapter explores the implications and challenges of facial recognition technology, particularly in law enforcement contexts. It emphasizes the need for ethical standards, accountability in AI development, and the importance of diverse representation in both data and engineering practices to combat inherent biases. The discussion highlights the dangers of misuse, the lack of transparency, and the necessity for thorough external audits to ensure fair and responsible deployment of these technologies.

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