Artificial intelligence (AI) is transforming industries at an unprecedented pace, and with this progress comes the critical need for governance, trust, and collaboration. In the latest episode of “Lunchtime BABLing,” BABL AI CEO Dr. Shea Brown sits down with Abhi Sanka, a leader in responsible AI and a graduate of BABL AI’s inaugural Algorithm Auditor Certificate Program.
Abhi shares his journey from studying bioethics and the Human Genome Project at Duke University to shaping science and technology policy for the U.S. government, and now contributing to AI innovation at Microsoft. Through this rich conversation, Abhi offers his perspective on the challenges and opportunities in AI governance, the parallels between past scientific revolutions and the current AI boom, and how we can responsibly navigate this transformative era.
Topics Discussed:
A Career Rooted in Ethics and Policy: Abhi’s professional path began with a focus on bioethics and the Human Genome Project, where he explored issues such as genetic testing, data sensitivity, and public policy. These experiences laid the foundation for his transition into AI governance and his passion for ethical technology.
Parallels Between the Human Genome Project and AI: Abhi draws fascinating comparisons between the Human Genome Project and the AI revolution, noting how both demand global collaboration, massive resources, and careful consideration of their ethical implications.
The Challenges of Governing Agentic AI: The conversation dives into the unique risks posed by agentic AI systems—AI models capable of independent planning and action. Abhi and Dr. Brown explore how these systems require new governance frameworks to ensure safety, trustworthiness, and effective oversight.
Community and Collaboration in Responsible AI: Abhi highlights the importance of building a strong community to advance responsible AI. Through programs like BABL AI’s certification and initiatives by organizations such as Partnership on AI, collaboration across industry, government, and civil society is crucial for creating effective solutions.
Looking Ahead to 2025: As AI systems evolve, so must the frameworks governing them. Abhi outlines his personal goals for the year ahead, including staying connected with the AI ethics community and working on impactful projects that shape the future of AI governance.
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For more information and resources on AI Assurance, be sure to visit BABL AI’s website and stay tuned for future episodes of Lunchtime BABLing