A Framework for Fair and Transparent AI Governance

The Meta–Scale AI investment and the FTC’s surveillance pricing study represent two sides of the AI governance coin: one highlights the private sector’s strategic data consolidation, the other exposes emerging consumer risks.

Many policymakers emphasize collaboration with industry to shape AI regulation. But that approach risks reinforcing corporate influence over public policy. AI tools, whether used for pricing or talent acquisition, carry societal impacts. Left unchecked, they may entrench inequality or reduce consumer trust.

PriCyai argues that effective AI governance requires:

1. Independent oversight of AI systems affecting public outcomes.
2. Public transparency requirements, including audits and disclosures of AI system use.
3. Robust consumer protections, particularly regarding surveillance-based pricing and differential treatment.

Only by placing equity and accountability at the center of policy can we harness AI’s potential for social benefit, rather than risk corporate profit at the expense of public welfare.