Artificial Intelligence in Violence Risk Assessment: Addressing Racial Bias and Inequity

被引:3
|
作者
Ratajczak, Robert [1 ,2 ]
Cockerill, Richard G. [1 ]
机构
[1] Univ Chicago, Pritzker Sch Med, Dept Psychiat & Behav Neurosci, Chicago, IL USA
[2] MC3077,5841 S Maryland Ave, Chicago, IL 60637 USA
关键词
artificial intelligence; AI; forensic psychiatry; forensic assessment; violence risk assessment; health equity; bias; justice; ETHICS;
D O I
10.1097/PRA.0000000000000713
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Although there has been no shortage of technological innovation in recent decades, a solution to sociodemographic disparities in the forensic setting has remained elusive. Artificial intelligence (AI) is a uniquely powerful emerging technology that is likely to either exacerbate or mitigate existing disparities and biases. This column argues that the implementation of AI in forensic settings is inevitable, and that practitioners and researchers should focus on developing AI systems that reduce bias and advance sociodemographic equity rather than attempt to impede the use of this novel technology.
引用
收藏
页码:239 / 245
页数:7
相关论文
共 50 条
  • [1] Addressing Systemic Bias in Violence Risk Assessment
    Sreenivasan, Shoba
    DiCiro, Melinda
    Rokop, James
    Weinberger, Linda E.
    JOURNAL OF THE AMERICAN ACADEMY OF PSYCHIATRY AND THE LAW, 2022, 50 (04): : 626 - 635
  • [2] Identifying and Addressing Bias in Artificial Intelligence
    Crowe, Byron
    Rodriguez, Jorge A.
    JAMA NETWORK OPEN, 2024, 7 (08)
  • [3] Addressing Bias in Artificial Intelligence in Health Care
    Parikh, Ravi B.
    Teeple, Stephanie
    Navathe, Amol S.
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 322 (24): : 2377 - 2378
  • [4] Addressing bias: artificial intelligence in cardiovascular medicine
    Tat, Emily
    Bhatt, Deepak L.
    Rabbat, Mark G.
    LANCET DIGITAL HEALTH, 2020, 2 (12): : E635 - E636
  • [5] Addressing Artificial Intelligence Bias in Retinal Diagnostics
    Burlina, Philippe
    Joshi, Neil
    Paul, William
    Pacheco, Katia D.
    Bressler, Neil M.
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2021, 10 (02): : 1 - 13
  • [6] Ethics Implications of the Use of Artificial Intelligence in Violence Risk Assessment
    Cockerill, Richard G.
    JOURNAL OF THE AMERICAN ACADEMY OF PSYCHIATRY AND THE LAW, 2020, 48 (03): : 345 - 349
  • [7] Addressing bias in artificial intelligence for public health surveillance
    Flores, Lidia
    Kim, Seungjun
    Young, Sean D.
    JOURNAL OF MEDICAL ETHICS, 2024, 50 (03) : 190 - 194
  • [8] Considerations for addressing bias in artificial intelligence for health equity
    Michael D. Abràmoff
    Michelle E. Tarver
    Nilsa Loyo-Berrios
    Sylvia Trujillo
    Danton Char
    Ziad Obermeyer
    Malvina B. Eydelman
    William H. Maisel
    npj Digital Medicine, 6
  • [9] Considerations for addressing bias in artificial intelligence for health equity
    Abramoff, Michael D.
    Tarver, Michelle E.
    Loyo-Berrios, Nilsa
    Trujillo, Sylvia
    Char, Danton
    Obermeyer, Ziad
    Eydelman, Malvina B.
    Maisel, William H.
    NPJ DIGITAL MEDICINE, 2023, 6 (01)
  • [10] Wearable devices—addressing bias and inequity
    Zinzuwadia, Aniket
    Singh, Jagmeet P
    The Lancet Digital Health, 2022, 4 (12):