Everyday AI Podcast – An AI and ChatGPT Podcast

EP 560: Inside Multi-Agentic AI: 3 Critical Risks and How to Navigate Them


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Multi-agentic AI is rewriting the future of work.... but are we racing ahead without checking for warning signs?

Microsoft’s new agent systems can split up work, make choices, and act on their own. The possibilities? Massive.

But it's not without risks, which is why you NEED to listen to Sarah Bird. 

She's the Chief Product Officer of Responsible AI at Microsoft and is constantly building out safer agentic AI. 

So what’s really at stake when AIs start making decisions together?
And how do you actually stay in control?

We’re pulling back the curtain on the 3 critical risks of multi-agentic AI and unveiling the playbook to navigate them safely.

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Topics Covered in This Episode:

  1. Responsible AI: Evolution and Challenges
  2. Agentic AI's Ethical Implications
  3. Multi-Agentic AI Responsibility Shift
  4. Microsoft’s AI Governance Strategies
  5. Testing Multi-Agentic Risks and Patterns
  6. Agentic AI: Future Workforce Skills
  7. Observability in Multi-Agentic Systems
  8. Three Risk Categories in AI Implementation


Timestamps:
00:00 Evolving Challenges in Responsible AI

05:50 Agent Technology: Benefits and Risks

09:27 Complex System Governance and Observability

12:26 AI Monitoring and Human Intervention

15:14 Essential Testing for Trust Building

19:43 Securing AI Agents with Entra

22:06 Exploring Human-AI Interface Innovation

26:06 AI Workforce Integration Challenges

28:22 AI's Transformative Impact on Jobs


Keywords:
Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.

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