MIT leaders and scholars release policy briefs outlining a framework for U.S. artificial intelligence (AI) governance, aiming to enhance U.S. leadership and limit potential harm. The approach involves extending current regulatory and liability approaches and emphasizes identifying the purpose and intent of AI tools. The project aims to address various regulatory challenges in the AI domain.
Making AI Governance Practical: MIT’s Policy Briefs
Enhancing U.S. Leadership in AI
MIT leaders and scholars have released policy briefs to guide the governance of artificial intelligence. The aim is to limit potential harm and explore the societal benefits of AI.
Practical Oversight for AI Tools
The main policy paper suggests regulating AI tools using existing U.S. government entities. It emphasizes the importance of aligning regulations with the purpose of AI applications.
Defining Responsibility and Intent
AI providers should define the purpose and intent of AI tools to determine accountability for specific problems. This approach ensures that both companies and end users are responsible for the appropriate use of AI.
Responsive and Flexible Oversight
The policy framework involves existing agencies and proposes new oversight capacity. It calls for advances in auditing of new AI tools and considers the creation of a new, government-approved “self-regulatory organization” focused on AI.
Addressing Legal Matters
The policy papers also address legal issues related to AI, such as copyright and intellectual property concerns, as well as the unique legal considerations for AI-enabled capabilities like mass surveillance.
Encouraging Pro-Social AI
The policy briefs also emphasize the importance of encouraging research on how AI can benefit society, such as augmenting and aiding workers rather than replacing them.
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