Artificial Intelligence Governance

Artificial intelligence governance aims to establish responsible development and deployment of AI systems, mitigating potential harms while maximizing benefits. Current research emphasizes data-centric approaches, moving beyond solely focusing on large "foundation" models to encompass the role of datasets in shaping AI capabilities and risks, and exploring various model classification frameworks to tailor governance strategies. This field is crucial for ensuring AI's ethical and equitable use across sectors, impacting not only scientific practices but also legal frameworks, industry standards, and public policy.