About
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum is a global effort that is bringing together scientists, technologists, policymakers, and business leaders with the goal of moving the conversation about the societal challenges created by the rapidly increasing adaptability of artificial intelligence from principles into practical implementation.
OUR MISSION
A global collaboration moving from AI principles to AI practice
Today, artificial intelligence — and the computing systems that underlie it — are more than just matters of technology; they are matters of state and society, of governance and the public interest. The choices that technologists, policymakers, and communities make in the next few years will shape the relationship between AI technology and humans for decades to come.
For a few years now, there have been important and concerted efforts on understanding the impact of the broad deployment of AI as well as developing high-level principles for AI on social and ethical issues such as privacy, fairness, bias, transparency or accountability. At this point, hundreds of events have taken place and dozens of documents on AI principles are already published. The process of understanding challenges created by AI, and then establishing the principles to follow has not been trivial, and may not be fully complete yet.
We are taking the next step by building on those broader principles to formulate concrete guidance for governments and companies to address the emerging issues.
Activities associated with this effort will be distinguished by their focus on tangible outcomes — their engagement with key government officials at the local, national, and international level charged with designing those public policies, and their deep technical grounding in the latest advances in the science of AI. The measure of success will be whether these efforts have bridged the gap between these communities, translated principled agreement into actionable outcomes, and helped create the conditions for deeper trust of humans in AI technology.
This is a challenging and complex process that requires all hands-on deck.
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