Securing the Future of GenAI: Policy and Technology
Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia, Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John, Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew, Turek

TL;DR
This paper discusses the challenges and discussions from a workshop on aligning policy and technological development to ensure the safe and effective future of Generative AI, emphasizing the need for balanced regulation and innovation.
Contribution
It summarizes expert discussions on bridging the gap between GenAI policy and technology, highlighting strategies for safe and innovative AI development.
Findings
Regulation must balance safety and innovation.
Technological evolution should align with regulatory standards.
Stakeholder collaboration is crucial for effective GenAI governance.
Abstract
The rise of Generative AI (GenAI) brings about transformative potential across sectors, but its dual-use nature also amplifies risks. Governments globally are grappling with the challenge of regulating GenAI, balancing innovation against safety. China, the United States (US), and the European Union (EU) are at the forefront with initiatives like the Management of Algorithmic Recommendations, the Executive Order, and the AI Act, respectively. However, the rapid evolution of GenAI capabilities often outpaces the development of comprehensive safety measures, creating a gap between regulatory needs and technical advancements. A workshop co-organized by Google, University of Wisconsin, Madison (UW-Madison), and Stanford University aimed to bridge this gap between GenAI policy and technology. The diverse stakeholders of the GenAI space -- from the public and governments to academia and…
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management
