Transcription of ALGORITHMIC IMPACT ASSESSMENTS
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ALGORITHMIC IMPACT ASSESSMENTS
ALGORITHMIC IMPACT ASSESSMENTS : A PRACTICAL FRAMEWORK FOR PUBLIC AGENCY ACCOUNTABILITYD illon Reisman, Jason Schultz, Kate Crawford, Meredith WhittakerAPRIL 2018 Executive SummaryI. The ALGORITHMIC IMPACT Assessment ProcessA. Pre-acquisition reviewB. Initial agency disclosure requirementsC. Comment periodD. Due process challenge periodE. Renewing AIAsII. The Content of an ALGORITHMIC IMPACT AssessmentA. Establishing Scope: Define automated decision system Challenge: Drawing boundaries around systemsDefinitions and the EU General Data Protection RegulationB. Public notice of existing and proposed automated decision systems: Alert communities about the systems that may affect their livesChallenge: Trade secrecyC. Internal agency self- ASSESSMENTS : Increase the capacity of public agencies to assess fairness, justice, due process, and disparate impactOpportunity: Benefit to vendorsOpportunity: AIAs and public records requestsChallenge: Considering both allocative and representational harmsD.
on the topic of algorithmic accountability.16 AIAs also complement similar domain-specific proposals for algorithmic accountability, like Andrew Selbst’s recent work on Algorithmic Impact Statements in the context of predictive policing systems.17 By integrating these approaches, AIAs can begin to shed light on automated decision systems, helping us
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