UNDERSTANDING-AI-SAFETY.ORG

Fifth, we need to build trust and unite the community by reducing fragmentation. Currently, the AI community is heavily fragmented with a variety of views on approaches to risk and policy: the fragmentation poses a challenge to scientific consensus that would support evidence-based AI policymaking. One extreme position calls for strong regulation to mitigate extreme risks, whereas the other extreme calls for no regulation to avoid inhibiting innovation. We support a third approach, an evidence-based approach to AI policy, which reduces fragmentation towards finding the best solutions for fostering innovation while mitigating risks. To achieve this, we recommend the continued development of collaborative research initiatives that bring together diverse perspectives. Creating platforms for respectful scientific debate and shared problem-solving in a trusted setting can help bridge the gap between different viewpoints. Additionally, establishing interdisciplinary research groups that..