We only talk about the upside of agentic AI.

But why don't we talk about the risks? 

As AI agents grow exponentially more capable, so too does the likelihood of something going wrong.

So how can we take advantage of agentic AI while also addressing the risks head-on? 

Join us to learn from a global leader on Responsible AI. 

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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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