Ethics by Design: Building Equitable AI Systems

For this episode of Embedded Zain is joined by Rashida Richardson, a law and technology policy expert and Senior Counsel at MasterCard, where they discuss some of the ways AI systems reflect racial and cultural biases we see in society. Rashida also shares some of the policy interventions, governance, and training needed to tackle challenges like "dirty data" that we see in AI development, and gives her insights on how you can ensure responsible use. The conversation also explores the current legal landscape around AI, and specifically its implications when it comes to civil rights. Some really great insights here you don't want to miss, give it a listen! About Our Guest Professor Rashida Richardson is a law and technology policy expert who researches the social and civil rights implications of artificial intelligence and other data-driven technologies. She currently serves as senior counsel, artificial intelligence, at Mastercard. She has also previously served as attorney advisor to the chair of the Federal Trade Commission and senior policy advisor for data and democracy at the White House Office of Science and Technology Policy. Rashida has worked on AI research, policy, governance, and legal issues in academia, civil rights organisations, government, and industry. She also has extensive experience leading interdisciplinary teams and cross-sector collaborations. Website: https://www.rashidarichardson.com/ LinkedIn: https://www.linkedin.com/in/rashidarichardson/ Connect With Rashida Key Highlights 🔄 How societal inequities become amplified through AI systems ⚖️ The challenges of applying existing laws to AI-related issues 🛡️ The importance of proper governance in AI development 💡 Why anti-discrimination laws may not be enough 🌐 The path toward responsible AI development Episode Timestamps 00:00 - Introduction and welcome 00:44 - Defining algorithmic bias and its sources 02:25 - Civil rights implications of AI 04:23 - Policy interventions and frameworks 06:20 - Corporate governance and internal processes 09:20 - Public awareness and generative AI 12:50 - Legal challenges in AI governance 17:47 - Anti-discrimination laws in the AI era 21:49 - Practical implementation of AI tools 24:51 - Key principles for responsible AI 28:51 - Building effective oversight systems 30:25 - Future outlook and next steps