
A solutions-oriented workshop series
March 23 – April 29
As AI-related technologies penetrate ever more aspects of society, the management of AI will be a societal challenge as well as a technical one. Appropriate governance ensures that societal benefits of AI outweigh the risks while ensuring the evolving legal and regulatory systems do not pointlessly impede AI innovation. While several high-profile gatherings and committees have addressed the challenges posed by AI, they have tended to focus on high-level principles and ethical guidelines, rather than tangible governance solutions.
Spearheaded by the Schwartz Reisman Institute for Technology and Society in partnership with the Rockefeller Foundation, the workshop is part of an ongoing initiative designed to move AI governance beyond high-level principles and ethical guidelines by catalyzing the research, experimentation, and investment needed to build governance models for responsible AI that can be adopted globally across jurisdictions, economies, and sociopolitical contexts.

Over the course of six weeks, teams of experts will use an interdisciplinary design process to explore real AI/ML governance problems and propose prototypes of novel and implementable governance solutions.
Our goal is to identify, design and set the stage for the launch of 3-5 concrete projects that prototype effective global governance frameworks for AI.

PHASE I
Problem & Solution Development
PHASE II
Solutions Workshop
PHASE III
Prototype Implementation

We'll give teams an overview of what we're trying to achieve, get some norm-setting and house-keeping out of the way, and start introductions and team-building.
Two 30-minute one-on-one meetings with team members to complete an exercise to initiate group brainstorming about the problems and solutions.
We'll continue team-building and get familiar with the workshop process. Teams will practice pitching and catching using results from Pre-Workshop Activities.
Teams will dig deeper into their problem and solution through analogizing and exploring the problem landscape. Teams will design their first iteration of their prototype.
With guidance from SRI, teams will arrange to meet for at least an hour per week to continue the development of their prototype and prepare for their next pitch.
Each iteration will be presented for feedback to a panel formed by SRI. Each team will use this feedback to produce the next version of their prototype.
The final version of each team's proposal for a governance prototype will be presented to the sponsor of the problem.

Recommended Readings
+ AI in Immigration
+ Bigplex
+ Certification
+ Pandemic Action Platform
+ Data Futures
+ General AI Governance

Organizing Partners


Questions? Get in touch!
Have questions about registration, our event agenda, or any of our pre-read materials? E-mail our team at ai-governance@torontosri.ca for more information.