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Filtering by: Creator Evers, Brent Advisor Burnett, Margaret M.

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:

Dodge, Jonathan E.

Abstract:

Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...

Resource Type:

Dissertation

Full Text:

identifying fairness issues in ML systems is extremely challenging, how- ever. Most ML algorithms aim to