Challenges for AI Regulation in Health and for Healthcare Organizations: Notes from the University of Florida's NSF-Sponsored Workshop on AI Governance

Challenges for AI Regulation in Health and for Healthcare Organizations: Notes from the University of Florida's NSF-Sponsored Workshop on AI Governance
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健康和医疗保健组织中人工智能监管面临的挑战:佛罗里达大学 NSF 赞助的人工智能治理研讨会的笔记

DOI:
10.1145/3615362.3615363
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发表时间:
2023
期刊:
ACM SIGBioinformatics Record
影响因子:
--
通讯作者:
Veltri, Pierangelo
Veltri, Pierangelo
中科院分区:
--
文献类型:
--
作者:
Prosperi, Mattia;Bian, Jiang;Harle, Christopher Albert;Wang, Mo;Lee, Gwen;Li, Yixuan;Stiglic, Gregor;Kleesiek, Jens;Pongtriang, Praditporn;Veltri, Pierangelo

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人工智能(AI)已经在多个层面上影响了人类生活,带来了经济和社会的变化。人工智能算法越来越多地被组织用来生成预测,这些预测被提供给决策(例如,谁有资格获得保险,谁有资格获得银行贷款,谁被选中参加工作面试)。由于用于开发算法的数据可能包含性别或种族偏见等偏见,人工智能预测可能会变得具有歧视性。营利性和非营利性组织面临着开发、应用和维护人工智能治理的障碍,确保目标优化符合道德和公平价值观。
Artificial intelligence (AI) has impacted human life at many levels, entailing economic and societal changes. AI algorithms are increasingly used by organizations to generate predictions that feed into decisions (e.g., who is eligible for insurance coverage, approved for bank loans, selected for job interviews). Since the data used for developing the algorithms can contain bias such as gender or racial prejudice, AI predictions can become discriminatory. For-profit and not-for-profit organizations face the hurdles of developing, applying, and maintaining governance of AI, making sure that goal optimization responds to ethical and fairness values.
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