ABOUT THIS EPISODE
Sarah Bird, Chief Product Officer of Responsible AI at Microsoft, has been in this field since it was a niche. Now it's everywhere. In this episode of Inference, she explains why the entire software development lifecycle is changing – and why human oversight has to evolve with it.
*In this episode of Inference, we get into:*
- Why "responsible AI" is the wrong framing – and why "trustworthy AI" matters more
- What changes when agents write the code AND review the code
- Why open-sourcing responsible AI tools is non-negotiable – "we don't want to be competing on this"
- The dual-use problem: AI that finds vulnerabilities helps defenders AND attackers
- Why fixing it "in the model" sounds easy but doesn't work – and who's actually responsible at each layer
- The shift from chat to agentic to physical AI – and why consequences scale dramatically
- What kids should learn about AI: the "stoplight" framework from New South Wales schools
- Why Sarah is surprisingly optimistic – and why low p(doom) is a rational position
- The three problems her team is solving right now: emerging risks, agent governance, and the new software lifecycle
We also talk about regulation, why responsible AI requires linguists alongside engineers, the rise of "psychosocial risk," and why humans + AI is more exciting than AGI alone.
This is a conversation about what it actually takes to make AI systems we can trust – and why humans are not optional. *Watch it!*
*Guest:*
Sarah Bird, Chief Product Officer of Responsible AI at Microsoft https://www.linkedin.com/in/slbird/
https://x.com/slbird
https://www.microsoft.com/en-us/ai/responsible-ai
*Did you like the episode?*
📌 Subscribe for more conversations with the builders shaping real-world AI
💬 Leave a comment if this resonated
👍 Like it if you liked it
🫶 Thank you for watching and sharing!
📰 Want the transcript and edited version? Subscribe to Turing Post: https://www.turingpost.com/subscribe
*Chapters:*
0:00 Is Responsible AI Possible?
1:21 The Pace of AI Innovation
3:10 Tools: Assert & Agent Control
5:21 Defining Trustworthy Contexts
6:38 Diverse Teams & Cross-Domain Work
8:16 The Need for Regulation
11:37 Defining AGI & Human-in-the-Loop
13:55 Limits of Agent Delegation
16:12 Generative vs. Physical AI
17:25 Addressing Accountability
20:36 User Responsibility & Best Practices
22:01 AI Literacy for Children
23:28 Democratizing Innovation
29:21 Three Strategic Focus Areas
31:37 Book Recommendation: The Culture Map
*Turing Post* is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live.
Sign up: https://www.turingpost.com
Follow us - https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase
#ResponsibleAI #Microsoft #AIAgents #AGI #TrustworthyAI #AIGovernance #AIRisk #SarahBird