Data Society

Data Society is a research and advocacy organization focused on understanding the social and policy implications of data systems and artificial intelligence. They conduct research, publish reports, and engage policymakers on critical issues like algorithmic transparency, data ethics, and the governance frameworks needed to manage AI risks responsibly. For enterprise AI governance, Data Society's work is relevant because it informs best practices around algorithmic accountability, stakeholder engagement, and compliance with emerging regulatory requirements around AI transparency and fairness.

1 item

ResearchUS2026-07-17

Chief AI Officers, CIOs, and CDOs Must Own AI Governance Operationally, Not Just in Policy

A practitioner guide published by Data Society on July 11, 2026 argues that AI governance has crossed from aspirational policy into an urgent operational necessity for enterprises. The guide specifies that clear ownership must vest in Chief AI Officers, CIOs, or CDOs working across business, data, and technology functions, rather than residing in legal or compliance departments alone. It further prescribes embedding governance controls into everyday workflows such as project approvals and model evaluations so that governance shapes real decisions rather than existing as a parallel paper exercise.

AI governance ownership Chief AI Officer operational governance cross-functional accountability executive sponsorship enterprise AI compliance Data Society