Scope
Algorithmic governance covers the governance of algorithms related to recommendation systems, automated decision-making, content moderation, dynamic pricing, and risk scoring.
Research Area · 05
We examine the transparency, accountability, and auditability of algorithmic decision systems from a policy perspective.
Algorithmic governance covers the governance of algorithms related to recommendation systems, automated decision-making, content moderation, dynamic pricing, and risk scoring.
We treat algorithms not as tools, but as structural actors that write the rules of markets. We research the operationalization of transparency, explainability, and human oversight principles.
How is algorithmic transparency measured? For which user groups should explainability be designed? What should algorithmic transparency standards for Türkiye look like?
Collaboration
Contact EHPAGM for policy research, academic publications, data indices, and institutional collaborations.
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