公司治理
公共行政
政治学
民间社会
私营部门
透视图(图形)
公共关系
国家(计算机科学)
社会学
管理
法学
经济
人工智能
政治
算法
计算机科学
作者
Graeme Auld,Ashley Casovan,Amanda Clarke,Benjamin Faveri
标识
DOI:10.1080/13501763.2022.2099449
摘要
A range of private actors are positioning varied public and private policy venues as appropriate for defining standards governing the ethical implications of artificial intelligence (AI). Three ideal-type pathways – oppose and fend off; engage and push; and lead and inspire – describe distinct sets of corporate and civil society motivations and actions that lead to distinct roles for, and relations between, private actors and states in AI governance. Currently, public-private governance interactions around AI ethical standards align with an engage and push pathway, potentially benefitting certain first-mover AI standards through path-dependent processes. However, three sources of instability – shifting governance demands, focusing events, and localisation effects – are likely to drive continued proliferation of private AI governance that aim to oppose and fend off state interventions or inspire and lead redefinitions of how AI ethics are understood. A pathways perspective uniquely uncovers these critical dynamics for the future of AI governance.
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