#29: Renée Cummings on Diversity, Equity and Inclusion in AI

AI Asia Pacific Institute Podcast

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3+ y ago 35:36

M4A•Pagina principale dell'episodio

"For AI to be successful there must be trust. We must have AI systems we can trust." — Renée Cummings

Renée Cummings is a criminologist, criminal psychologist, therapeutic jurisprudence specialist, AI ethicist and the historic first Data Activist in Residence, at The School of Data Science, University of Virginia.

Renée is also a community scholar at Columbia University. Advocating for AI we can trust, more diverse, equitable, and inclusive AI, she is on the frontline of ethical AI, generating real time responses to many of the consequences of AI. Renée also specializes in AI risk management, justice-oriented AI, social justice AI, AI policy and governance, and using AI to save lives. She is committed to using AI to empower and transform communities by helping governments and organizations navigate the AI landscape and develop future AI leaders.

Renée works at the intersection of AI, criminal justice, racial justice, social justice, design justice, epidemiological and urban criminology, and public health. She has extensive experience in trauma-informed justice interventions, homicide reduction, gun and gang violence prevention, juvenile justice, evidence based policing and law enforcement leadership. Her work extends to rehabilitation, reentry and reducing recidivism.

Renée is committed to fusing AI with criminal justice for ethical real time solutions to improve law enforcement accountability and transparency, reduce violence, enhance public safety, public health, and quality of life.

A thought-leader, motivational speaker, and mentor, Renée is an articulate, dynamic, and passionate speaker who has mastered the art of creative storytelling and deconstructing complex topics into critical everyday conversations that inform and inspire.

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