In this unit, we’ll discuss the goals governments might have and the levers they can use to achieve them.
A policy framework identifies high-level goals and lenses used to craft policy. Policy levers are tools and mechanisms that governments and organizations use to achieve specific goals. Governments have a variety of levers at their disposal to steer the development and deployment of AI systems. Policies could be scoped to control today’s AI systems, or they could try to control future ones. They could be highly targeted at specific risks or they could be broadly scoped. 
Keep in mind that any framework is contentious. By setting the goals you should pursue, the authors are making value judgments and policy choices. Read these frameworks critically, considering how the author's perspective might influence their priorities.

By the end of the unit, you should be able to:
\- Evaluate different frameworks and policy levers governments use to steer AI
\- Explain the tradeoffs governments might make when balancing different priorities
\- Identify the different stages of the AI lifecycle
\- Describe the societal adaptation approach to AI governance


Resources: The AI Policy Toolkit

Exercises: The AI Policy Toolkit

_Spend 15-20 minutes on this exercise_
Review the three strategic priorities outlined below, taken from this unit’s reading:
- Driving technological innovation
- Impeding adversaries' progress
- Promoting safe deployment
In the box below, explain which of these priorities should be most important for governments. As you’re writing, consider the following:
- Which priority do you personally believe is most important?
- What factors should governments and policymakers consider while weighing competing priorities?
- Do you believe all of these are relevant to every government? Why might some be more or less relevant to specific actors?


Weighing strategic priorities

AI Governance Fast-Track

Discover the concrete tools governments can use to steer AI and the hard tradeoffs they face.

The AI Policy Toolkit

Learn why AI governance matters, who the players are, and what technical factors shape our choices.

Foundations of AI Governance

Explore how the US, EU, and China are actually governing AI through eight types of regulation.

How AI is Governed Today

See how the most powerful AI companies are setting their internal rules.

Governance at Frontier AI Companies

Examine concrete proposals for future AI governance, from compute governance to defensive acceleration.

AI Governance Fast-Track

Resources: The AI Policy Toolkit

Resources (55 mins)