with @baileyflan @ahall_research @rhhackett

Today we’re dusting off an ancient practice that has become trendy once again: the old-but-new idea of “sortition,” or selecting representatives by lottery.

Sortition was used in ancient Athenian democracy to elect public officials. It’s also been lately revived by tech companies like Meta and AI startups like OpenAI and Anthropic to tackle some of their thorniest policymaking challenges.

Our guests today are experts on sortition, including Bailey Flanigan, a postdoctoral fellow at Harvard who is joining MIT as an assistant professor next year, and who has helped develop selection algorithms for sortition that are in use today. Also joining is Andrew Hall, Stanford University poli sci professor, advisor to Meta, and consultant to a16z crypto research.

In this episode, we discuss why not to rely exclusively on expert authority, how the process of deliberation changes people’s minds, and how sortition can apply everywhere from the governance of countries to the governance of crypto projects, and more.

Related resources:

Algorithms for fair, manipulation-robust, and transparent sortition with Bailey Flanigan

As a reminder, none of the content should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.

Alana Khar

The AI-powered Podcast Player