AI's Redress Problem

Ogunleye, Ifejesu; UC Berkeley

Date

2022-08-10

Author

Ogunleye, Ifejesu; UC Berkeley

Abstract

This white paper examines the potential harms of artificial intelligence (AI), and provides recommendations for policy and decision makers in government and industry organizations to create pathways for affected individuals or groups to seek redress when they are adversely affected by AI.

Link to Resource

https://cltc.berkeley.edu/2022/08/10/ais-redress-problem/

Rights Statement

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URI

http://hdl.handle.net/20.500.11941/4664