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 a major challenge in understanding AI according to the introduction?

• AI is too simple to understand.

• Experts have complete knowledge of AI.

• AI's future capabilities are unpredictable.

• AI is not reshaping the world.

What makes defining intelligence in AI particularly challenging?

• AI intelligence is the same as human intelligence.

• Different experts have varying intuitions about intelligence.

• There is a universal agreement on what intelligence means.

• Intelligence in AI is solely about problem-solving.

How does ChatGPT challenge the distinction between narrow and general AI?

• It is considered true AGI.

• It can only perform one specific task.

• It is limited to coding tasks.

• It is neither narrow nor general AI.

What is meant by AI being described as a 'black box'?

• AI systems are completely transparent.

• AI systems are inherently mysterious.

• AI systems have too many numbers to easily interpret.

• AI systems are simple to understand.

What progress has been made in AI interpretability research?

• AI interpretability is not a research area.

• Researchers can adjust neural network responses.

• Researchers can now fully understand AI systems.

• No progress has been made.

What is a key suggestion for governing AI?

• Rely solely on experts for AI governance.

• Ignore AI's impact on society.

• Avoid involving non-experts in AI discussions.

• Focus on adaptability rather than certainty.

Why is it important for non-experts to have a voice in AI governance?

• Non-experts lack understanding of AI.

• History shows the importance of public involvement.

• Non-experts have no impact on AI.

• Only experts can shape AI's future.

What is a potential risk if AI companies are left to their own devices?

• AI will stop progressing.

• AI will solve all global issues.

• AI will become universally accessible.

• AI power may concentrate in a few hands.

What is one of the potential benefits of advanced AI systems?

• They can only be used for entertainment.

• They have no practical applications.

• They are limited to language translation.

• They can unlock clean, limitless fusion energy.

What is the final message regarding AI's impact on society?

• AI will naturally evolve without intervention.

• We should actively shape AI's future.

• We should wait for expert consensus.

• AI is not yet affecting us.