The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) 2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381
Jun 8, 2020
Rumman Chowdhury, Managing Director and Global Lead of Responsible AI at Accenture, dives deep into the critical need for responsible AI at this pivotal moment. He discusses how AI ethics should be personal and offers insights on defining one's ethical approach. The conversation emphasizes the importance of explainability and transparency in AI, addressing current governance gaps. Rumman also highlights the necessity for interdisciplinary collaboration to tackle data bias and the challenges of integrating ethical frameworks into business practices.
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Meandering into Responsible AI
- Rumman Chowdhury's background is in data science and social science; she was teaching data science when Accenture recruited her.
- Accenture was seeking someone to lead Responsible AI, a relatively new field at the time.
Responsible AI in Practice
- Rumman Chowdhury's role involves creating practical client solutions for responsible AI use, ranging from data ethics to organizational structure.
- She uses her diverse background to address technical, social, and organizational aspects of responsible AI.
Inflection Point in Responsible AI
- There's a critical inflection point in responsible AI, driven by external pressures and internal champions within organizations.
- Companies are figuring out how to translate AI ethics principles into actionable steps and structural changes.