If you were in charge of regulation, would you scale down the pace of AI deployment — or encourage rapid growth?

Imagine a future where “agentic AIs” are coworkers. Would you prefer working alongside a human or an AI? What qualities would you expect from the AI coworker (skills? ethics? transparency?)

Can you size up — in broad strokes — the pros and cons of deploying “agentic AI” (AI systems capable of autonomous decisions) in business? What are the red flags?

If you were a CEO of a tech startup, would you resort to using partially trained AI models to rack up quick profits — or wait until they meet high ethical standards? Explain your reasoning.

What does “agentic AI” mean to you — do you view AI as just a tool, or potentially as an autonomous “agent”?

Do you think society might write off generative AI as a useful tool because of scandals — or will companies find a way to regain trust?

If an AI system makes a mistake that harms someone (e.g. misinformation, bias), should the company be responsible — or also the users who trusted it?

Some workers argue that AI is “fragile, not futuristic” after seeing how it’s built. Do you agree with that view? Why or why not?

Could the widespread use of powerful, poorly supervised AI undermine human jobs — or will it create more opportunities?

Suppose you have to pitch (create a pitch-deck) for an AI-based startup that claims “ethical AI.” What arguments would you include to convince investors?

Could “giving AI the benefit of the doubt” be dangerous? Or is it sometimes necessary to push innovation forward — what’s your take?

Do you think companies should hold off on releasing new AI tools until they are more thoroughly tested? Why or why not?