A global collaboration to move artificial intelligence principles to practice

The choices that technologists, policymakers, and communities make in the next few years will shape the relationship between machines and humans for decades to come. The rapidly increasing applicability of AI has prompted a number of organizations to develop high-level principles on social and ethical issues such as privacy, fairness, bias, transparency, and accountability. Building on those broader principles, the AI Policy Forum, a global effort convened by the MIT Stephen A. Schwarzman College of Computing, will provide an overarching policy framework and tools for governments and companies to implement in concrete ways. "Our goal is to help policymakers in making practical decisions about AI policy," says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing. "We are not trying to develop another set of principles around AI, several of which already exist, but rather provide context and guidelines specific to a field of use of AI to help policymakers around the world with implementation." "Moving beyond principles means understanding trade-offs and identifying the technical tools and the policy levers to address them.