Rumman Chowdhury

Dr. Rumman Chowdhury discusses AI ethics, tech company promises, cultural shifts in Google, legal vs. ethical aspects, AI errors, intelligence definition, AI impact on time, and AI vs. human intelligence in a thought-provoking podcast episode.

Rumman Chowdhury, CEO and cofounder of Humane Intelligence, champions the right to repair AI systems to foster inclusivity in technology. She shares compelling examples, including farmers' battles to maintain their AI-driven tractors, spotlighting the need for user empowerment in AI development. Rumman argues for broader access to diagnostic tools and customization, promoting trust and transparency in technology. Her insights urge everyone to take a hands-on role in shaping AI for their specific needs, from farming to healthcare.

Dr. Rumman Chowdhury, an AI ethicist and founder of Humane Intelligence, sheds light on the dangers of AI pessimism that can empower powerful corporations. She discusses her unique background in political science and quantitative social sciences to explore algorithmic bias and the myth of mathematical neutrality in AI. Rumman emphasizes the need for user agency, the complexities of ethical AI, and the importance of collective action over individual heroics. Her insights challenge listeners to reclaim their agency in the tech landscape.

Rumman Chowdhury, CEO and cofounder of Humane Intelligence, discusses the transformative 'right to repair' movement, emphasizing its potential to empower users in AI development. She argues that inclusivity in AI creation will enhance trust and ethical standards. Chowdhury highlights the intersection of AI and agriculture, revealing how repair restrictions impact transparency in farming tech. With a strong advocacy for collaboration and user involvement, she calls for a future where everyone can contribute to and improve AI systems.

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'.