The Fight for Fairness and Transparency in AI Systems with Faiza Patel, Senior Director of the Liberty and National Security Program at the Brennan Center for Justice
Artificial Intelligence has immense potential, but it also carries risks — particularly when it comes to civil liberties. In this episode, I speak with Faiza Patel, Senior Director of the Liberty and National Security Program at the Brennan Center for Justice at NYU Law. Together, we explore how AI can be regulated to ensure fairness, accountability and civil rights, especially in the context of national security and law enforcement.
Key Takeaways:
(01:53) AI in national security, law enforcement and immigration contexts.
(05:00) The dangers of AI in government decisions, from immigration to surveillance.
(09:09) Long-standing issues with AI, including biased training data in facial recognition.
(12:55) The complexities of regulating AI-generated media, such as deepfakes, while protecting free speech.
(17:00) The need for transparency in AI systems and the importance of scrutinizing outputs.
(20:25) How marginalized communities are disproportionately affected by AI.
(23:30) Companies developing AI must embed civil rights principles into their products.
(26:45) Creating unbiased AI systems is a challenge, but necessary to avoid harm.
(29:58) The need for a dedicated regulatory body to oversee AI, especially in national security.
(34:00) AI’s potential impact on jobs and why policymakers need to prepare for labor disruption.
Resources Mentioned:
Brennan Center for Justice
President Biden’s Executive Order on AI
AI Bill of Rights
Brennan Center - Faiza Patel
National Security Carve-Outs Undermine AI Regulations
Senate AI Hearings Highlight Increased Need for Regulation
The Perils and Promise of AI Regulation
Advances in AI Increase Risks of Government Social Media Monitoring
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#AIRegulation #AISafety #AIStandard
