TED: How to govern AI — even if it's hard to predict | Helen Toner

The video discusses the paradox of understanding AI among experts and non-experts, highlighting the challenges in defining intelligence and predicting AI's future. It explores the complexity of AI systems, often described as a 'black box,' and suggests governance and policy ideas to manage AI's societal impact. The speaker emphasizes the importance of adaptability in policy-making and the need for transparency and external auditing in AI development. The video concludes by urging viewers to engage in shaping AI's future, as its potential extends beyond current applications.

What is the significance of adaptability in AI policy according to the text?

How does the speaker describe the current state of AI policy discussions?

What role do incident reporting mechanisms play in AI governance?

What potential benefits of AI does the speaker highlight?