Quantitative AI Risk Assessments: Opportunities and Challenges

Although artificial intelligence (AI) systems are increasingly being leveraged to provide value to organizations, individuals, and society, significant attendant risks have been identified 1 and have manifested.

Authors

Michael Hind
David Piorkowski (ORCID: https://orcid.org/0000-0002-6740-4902)
John R. Richards (ORCID: https://orcid.org/0000-0003-1251-3877)

Publication Details

Journal: Seton Hall Journal of Legislation and Public Policy
Published: 2025-01-01
DOI: https://doi.org/10.60095/hzav4417
Primary Topic: Explainable Artificial Intelligence (XAI)
Type: article
Field-Weighted Citation Impact: 0.00

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article

Quantitative AI Risk Assessments: Opportunities and Challenges

Michael Hind, David Piorkowski, John R. Richards

Jan 1, 2025

Seton Hall Journal of Legislation and Public Policy

Explainable Artificial Intelligence (XAI)

article

Quantitative AI Risk Assessments: Opportunities and Challenges

Michael Hind, David Piorkowski, John R. Richards

January 1, 2025article en

Abstract

Seton Hall Journal of Legislation and Public PolicyVol. 49(3)

Openalex Percentile: Top 96%

Explainable Artificial Intelligence (XAI)

DOI Open Access PDF OpenAlex

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Quantitative AI Risk Assessments: Opportunities and Challenges — Michael Hind, David Piorkowski, et al. · Seton Hall Journal of Legislation and Public Policy (2025) | TGRS Research Map | TGRS