Constructing Contextual Transparency: A Database Method for Understanding Recruiting AI in Practice

The session presents a method that combines practitioner interviews, database construction, and participatory evaluation to study AI transparency across a tool ecosystem. It argues for transparency efforts that begin with the people who must use and interpret AI systems, alongside model-level explainability, AI audits, and regulatory compliance. Get more information and register here.