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
The Social Science of AI: Intel’s Elizabeth Anne Watkins [not-audio_url] [/not-audio_url]

Duration: 33:35
When Elizabeth Anne Watkins started her doctoral program, she landed a research role studying journalists’ use of security and privacy technologies — but she found the security tools confusing and difficult to use. Today…
Making Investments in AI: Samsung’s Hina Dixit [not-audio_url] [/not-audio_url]

Duration: 24:11
Hina Dixit’s interest in supporting people and solving problems has its roots in her family’s call office business, where she helped people place telephone calls when she was growing up in India. Later, after earning her…
Continuous Learning With AI: Aflac’s Shelia Anderson [not-audio_url] [/not-audio_url]

Duration: 22:21
Shelia Anderson parlayed a love of learning into studying the emerging field of engineering when she began her undergraduate education. After gaining experience leading IT teams in the technology, airline, and insurance…
Trust and Fraud Detection at Scale: Instagram’s Stephanie Moyerman [not-audio_url] [/not-audio_url]

Duration: 28:11
Stephanie Moyerman’s background in cosmology and astrophysics — where she worked with large data sets, looking for a signal among what was mostly noise — prepared her well for a career in data science and ethics. Today,…
Partnerships in AI Drive Conservation Efforts: WWF’s Dave Thau [not-audio_url] [/not-audio_url]

Duration: 26:07
Wildlife conservation efforts may not be the first thing that comes to mind when one thinks about opportunities to use artificial intelligence and machine learning. But Dave Thau, data and technology lead scientist at th…
Making 600 Billion Decisions With AI: Expedia Group’s Rathi Murthy [not-audio_url] [/not-audio_url]

Duration: 33:13
Rathi Murthy has always been passionate about technology roles that allow her to drive business transformation and improve customer experience. In her current role as CTO and president of Product & Technology for Expedia…
A One-Stop Data Shop: The Lego Group’s Anders Butzbach Christensen [not-audio_url] [/not-audio_url]

Duration: 24:26
Anders Butzbach Christensen began his career in product management before landing his dream job working for the Lego Group in Denmark. Today, as head of data engineering, he’s leading Lego’s digital transformation with a…
A Third Path to Talent Development: Delta’s Michelle McCrackin [not-audio_url] [/not-audio_url]

Duration: 28:42
Michelle McCrackin, senior manager of analytics learning and development at Delta Air Lines, never imagined that she’d be an analytics leader when she first joined the airline as an HR business partner. But, faced with t…
Out of the Lab and Into a Product: Microsoft’s Eric Boyd [not-audio_url] [/not-audio_url]

Duration: 29:07
As a partner with OpenAI — the company that recently wowed the tech world and the general public with its DALL-E image generator and ChatGPT chatbot — Microsoft helped to make those generative AI tools possible. But Micr…