Brookings Center for Technology Innovation

Tom Wheeler argues that AI oversight cannot rely solely on industry self-regulation and discusses what oversight would require in practice (including standards, measurement, and disclosure).

CTI hosts a conversation focused on how communities can manage and respond to data center development concerns, connecting community, economic development, and technology experts.

A CTI-linked discussion/analysis presents “tools” approaches to mapping and addressing fragmentation in AI governance and discusses value and limitations of the mapping concept as implemented in work associated with AI governance cooperation.

Mark MacCarthy and Carl Schonander argue for a practical, technically oriented approach to U.S.-China AI risk-reduction dialogue rather than an arms-control-style negotiation.

Niam Yaraghi contends that near-term AI productivity gains may depend on expertise accumulated before AI deployment, potentially limiting longer-run innovation dynamics.

David M. Klaus and Mark MacCarthy discuss the practical enforceability of a “Ratepayer Protection Pledge” framework for shielding non-data-center customers from data-center-driven electricity rate increases.

Tom Wheeler examines how local opposition to AI data centers is shaping land-use outcomes and turning infrastructure disputes into a proxy for broader concerns about AI’s effects on jobs and daily life.