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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Wanna hear a lil secret?

You (likely) have no clue what custom GPTs are capable of inside of ChatGPT.

OpenAI just updated their capabilities, yet no one's talking about it.

Why?

The original hype and hoopla from their late 2023 launched fizzled and faded away, and now many AI users have written GPTs off.

Big mistake.

You won't believe what the newly upgraded GPTs are capable of.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Custom GPTs Launch & Initial Reception
2. Updated OpenAI Custom GPT Capabilities
3. Expanded Model Support for Custom GPTs
4. Business Applications of Custom GPT Updates
5. Live Demo of New Custom GPT Features
6. Insight Synthesizer GPT’s Unique Abilities
7. Meeting Actionizer GPT for Business Efficiency
8. Personalizing with the Updated GPT Models
   
   

Timestamps:
00:00 "Upgraded Custom GPTs Revolution"

04:52 GPT Building: Web Access Only

06:46 "Podcast Rambling Concerns"

09:56 Benefits of Using Custom GPTs

13:18 Using Custom GPTs and GPT Store

17:16 Simple AI Tool Usage Guide

21:32 Custom ChatGPT Limitations Explained

25:17 Exploring AI's Efficiency in Tasks

27:06 "AI Impact Dashboard for 2025"

32:03 GPT-4 vs. GPT-3: Agentic Abilities

35:33 Reasoning Models Enhance Meeting Analysis

36:53 AI Meeting Summary Features

40:40 Personalized NVIDIA Stock Insights

42:38 GPT Custom Models: New Developments

Keywords:
Custom GPTs, OpenAI updates, Expanded model support, No code creation, Custom actions, GPT store, Enterprise rollout, Recommended model, O3 model, O3 Pro model, GPT-4.5, Data storytelling, AI humanizer, Multimodal capabilities, Sentiment analysis, Thematic clustering, Research analyst, Meeting actionizer, Personalized learning architect, Financial snapshot, Web search, Canvas mode, Python coding, Boolean search, AGSentic reasoning, Chain of thought, Knowledge files, Fine-tuning, Domain expertise, Automated workflows, Generative AI, Creative marketing, Information synthesis, Meeting analysis, Decision automation, Webhooks, APIs, Knowledge tokenization.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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