概要規約プライバシー連絡先
 
更新中
Inference by Turing Post

Inference by Turing Post

リリース: 2026-06-22
2026 © Turing Post. Все права защищены.
Inference by Turing Post - QRコードは
33 エピソード
オーディオ
Apple Podcastで聴く
33 エピソード
オーディオ
Apple Podcastで聴く
リリース: 2026-06-22
2026 © Turing Post. Все права защищены.
最新のエピソード
What Responsible AI Actually Means in 2026 – Microsoft's Sarah Bird

What Responsible AI Actually Means in 2026 – Microsoft's Sarah Bird

We're no longer in the world of chatbots – we're in the world where AI systems take real-world action. So what does responsible AI even mean when agents write the code, review the code, and act across organizational boundaries? Sarah Bird, Chief Prod
時間が: 33:08
We're no longer in the world of chatbots – we're in the world where AI systems take real-world action. So what does responsible AI even mean when agents write the code, review the code, and act across organizational boundaries?
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
エピソードID: 1000773612101
GUID: a691a6d7-1998-4106-839a-91623c109d91
リリース日: 2026/6/22 0:12:36

説明

Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads.
Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes.
It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions.
If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.

Apple Podcasts: カスタマーレビュー

入力なし