Following our units on what governance looks like today – both from governments and from frontier labs – we'll explore concrete proposals for how we might better govern AI in the future. We'll examine three distinct approaches: proactive commitments that define responses to specific scenarios, compute-focused policies that leverage a key technical bottleneck, and defensive acceleration strategies that aim to build protective capabilities.
These proposals represent different philosophical approaches to governance. Some focus on defining clear triggers for action, others on controlling key resources, and others on building protective capabilities. Each makes different assumptions about what's technically feasible, politically possible, and ethically desirable.
As you evaluate these proposals, consider the practical challenges of implementation. What incentives would different actors have to adopt or resist these measures? How might they interact with existing governance structures? What unintended consequences might they create?

Note: You can also apply for our Writing Intensive to transform your learnings into a published article.

By the end of the unit, you should be able to:
\- Analyze specific policy proposals for AI governance and their underlying assumptions
\- Evaluate the tradeoffs, feasibility, and potential effectiveness of different governance approaches
\- Explain how different proposals might complement or conflict with each other


Resources: Proposals to Govern AI

Exercises: Proposals to Govern AI

_Spend 20-30 minutes on this exercise_
Imagine it’s 2030. BigLab claims they’ve achieved AGI. You’re a policymaker, and it’s your job to steer it. In this exercise, you’ll create a policy proposal.
First, identify what country you’d like to create a policy for. It can be your country or a country you understand well. In 2-3 sentences, describe the world you now live in – what this model does and how it's affecting your country. 
Then, in one sentence, describe the goal you will try to achieve with your policy.
Finally, in 5-6 sentences, propose a policy action designed to achieve your goal: Consider the questions below as you design your policy:
- What am I trying to achieve with this policy?
- What strategic priority does this policy advance?
- What stages of the AI lifecycle does my policy affect?
- Is my policy likely to achieve its goal?
- What obstacles might prevent my policy from working as intended?


Create a policy proposal

_Spend 15-20 minutes on this exercise_
How do you hope to contribute to AI Governance over the next year?

During this course, you've learned a lot about AI governance, and you may now have a sense of the opportunities that are available. How might you factor this into your own career's big-picture plan?

Some questions you might want to answer in your response include:
- What aspect of AI governance am I most interested in?
- Am I interested in changing my career path?
- What do I want to accomplish with my career?
- Will AI governance be a core focus of my career, or will it be a smaller component of my larger career plan?
- How can I get involved in AI governance in my current role?
- What could I do outside my career?

You may also be interested in applying to BlueDot Impact’s **[AI Safety Career Acceleration Program](https://airtable.com/appOWNOtaRhltoBVE/pagILa0hKWEmWLX7o/form) **(which has replaced the AISF Talent Pool)**. **We’ll review applications as they come in and reach out to selected candidates to schedule calls once we launch the program.


Contributing to AI governance

AI Governance Fast-Track

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

Proposals to Govern AI

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

Foundations of AI Governance

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

The AI Policy Toolkit

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.

AI Governance Fast-Track

Resources: Proposals to Govern AI

Resources (1 hr 20 mins)