Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part One)

Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part One)

Author: MIT Sloan Management Review August 29, 2023 Duration: 28:19
Amnesty International brings together more than 10 million staff members and volunteers worldwide to advocate for social justice. Damini Satija and Matt Mahmoudi work with Amnesty Tech, a division of the human rights organization that focuses on the role of government, Big Tech, and technologies like artificial intelligence in areas like surveillance, discrimination, and bias. On this episode, Matt and Damini join Sam and Shervin to highlight scenarios in which AI tools can put human rights at risk, such as when governments and public-sector agencies use facial recognition systems to track social activists or algorithms to make automated decisions about public housing access and child welfare. Damini and Matt caution that AI technology cannot fix human problems like bias, discrimination, and inequality; that will take human intervention and changes to public policy. Read the episode transcript here. For more on what organizations can do to combat the unintended negative consequences arising from the use of automated technologies, tune in to our next episode, Part 2 of our conversation with Matt and Damini, airing September 13, 2023. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. Guest bios: Matt Mahmoudi is a lecturer, researcher, and organizer. He’s been leading Amnesty International’s research and advocacy efforts on banning facial recognition technologies and exposing their uses against racialized communities, from New York City to the occupied Palestinian territories. He was the inaugural recipient of the Jo Cox Ph.D. scholarship at the University of Cambridge, where he studied digital urban infrastructures as new frontiers for racial capitalism and remains an affiliated lecturer in sociology. His work has appeared in the journals The Sociological Review and International Political Sociology and the book Digital Witness (Oxford University Press, 2020). His forthcoming book is Migrants in the Digital Periphery: New Urban Frontiers of Control (University of California Press, 2023). Damini Satija is a human rights and public policy expert working on data and artificial intelligence, with a focus on algorithmic discrimination, welfare automation, government surveillance, and tech equity. She is head of the Algorithmic Accountability Lab and a deputy director at Amnesty Tech. She previously worked as an adviser to the U.K. government on data and AI ethics and represented the U.K. as a policy expert on AI and human rights at the Council of Europe. She has a master’s degree in public administration from Columbia University’s School of International and Public Affairs. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
Podcast Episodes
Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao [not-audio_url] [/not-audio_url]

Duration: 31:59
Linda Yao, chief operating officer and head of strategy for Lenovo’s Strategy, Solutions, and Services Group and vice president of hybrid cloud and AI solutions, joins us to explain the organization’s transition from tec…
Monetizing Data With AI: MIT CISR's Barb Wixom [not-audio_url] [/not-audio_url]

Duration: 34:31
Barbara Wixom, principal research scientist at MIT’s Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization i…
Tackling Injuries With AI: The NFL's Jeff Miller [not-audio_url] [/not-audio_url]

Duration: 30:37
Jeff Miller moved from a career in government to focus on the health and safety of NFL players. Due to the nature of their sport, they are more prone to injuries, including concussions, than other professional athletes.…
Collective Learning With Generative AI [not-audio_url] [/not-audio_url]

Duration: 30:52
Over the past year, we’ve seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what’s changed, w…
Leveling the Playing Field With AI: Special Olympics's Mary Davis [not-audio_url] [/not-audio_url]

Duration: 38:28
Mary Davis, CEO of Special Olympics, wants the people she represents to “have a seat at the table” as AI evolves. In this episode of the Me, Myself, and AI podcast, Davis talks about her organization’s mission along with…
Bonus Episode: Lessons From Jobs in the Age of AI [not-audio_url] [/not-audio_url]

Duration: 25:24
On Sept. 4, 2024, Me, Myself, and AI host Sam Ransbotham moderated a panel discussion at a Georgetown University/World Bank event, Jobs in the Age of AI. Afterward, he interviewed keynote speaker Carl Benedikt Frey, Diet…
Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay [not-audio_url] [/not-audio_url]

Duration: 41:26
Rebecca Finlay, CEO of Partnership on AI (PAI), believes that artificial intelligence poses risks — and that organizations should learn from one another and help others avoid the same hazards by disclosing the mistakes t…
The Risks of Too Much AI: Fortune’s Jeremy Kahn [not-audio_url] [/not-audio_url]

Duration: 35:12
Jeremy Kahn’s investigation into the risks and effects of artificial intelligence are reflected in a new book, Mastering AI: A Survival Guide to Our Superpowered Future. But he has also written extensively about the tech…