Governing AI through ethical standards
Learning From the Experiences of Other Private Governance Initiatives
Bibliographic Data
| ID | 6289766 |
|---|---|
| Authors | Graeme Auld (0000-0002-4054-7284, Carleton University, corresponding author), Ashley Casovan (0009-0001-4090-3461, Responsible AI Institute, Austin, TX, USA), Amanda Clarke (0000-0001-7978-2401, Carleton University), Benjamin Faveri (0000-0003-0180-1988, Responsible AI Institute, Austin, TX, USA) |
| Year | 2022 |
| Volume | 29 |
| Issue | 11 |
| Pages | 1822-1844 |
| Publication date | 2022-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of European Public Policy (JOURNAL) |
| Journal identifiers | ISSN: 1350-1763 • E-ISSN: 1466-4429 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13501763.2022.2099449 |
| OpenAlex | W4292648203 |
| Language | EN |
| Citations received | 19 |
| References cited | 53 |
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
Civil society · Corporate governance · Economics · Management · Perspective (graphical · Political science · Politics · Private sector · Public relations · Sociology · State (computer science · Ethics and Social Impacts of AI · Law · Public Administration · Regulation and Compliance Studies · Wildlife Conservation and Criminology Analyses · Artificial Intelligence
Competing ambitions regarding the global governance of artificial intelligence
Balancing AI complexity with usability
The influence of China in AI governance through standardisation
Global labor policy and artificial intelligence
Distribution of responsibility for AI development
Framing Artificial Intelligence
From tech wars to tech culture wars? ‘Values shaping’ and ‘values signaling’ in AI system design and governance
The governance of artificial intelligence in Canada
When Serving the Public Interest Generates Private Gains
Assurance Actors as Intermediaries in AI Risk Governance
Trends in Political Science Research
Artificial Intelligence
Access to information research in the digital era
Digital Governance in a Rubber Band
The wheel of artificial intelligence governance
Why data about people are so hard to govern
Solving AI ethics? Hybrid expertise and professional power in EU ethics governance
Governing AI – attempting to herd cats? Introduction to the special issue on the Governance of Artificial Intelligence
Competition and cooperation in artificial intelligence standard setting
Artificial Intelligence
The New Global Rulers
Open Standards and the Digital Age
Industry Self-Regulation Without Sanctions
Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach
CHAPTER TWO. The Governance Triangle
The global landscape of AI ethics guidelines
Agendas, alternatives, and public policies
Transforming Markets? Activists’ Strategic Orientations and Engagement With Private Governance
Power in Movement
Companies Committed to Responsible AI
Structure, path dependence, and adaptation
Private Environmental Governance and International Relations
Disclosure as Governance
Power and the Practice of Transnational Private Regulation
Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs
Vanderbilt Journal of Transnational Law
Agenda Dynamics and Policy Subsystems
Strategies of European standardization
Adjustment or Voice? Corporate Responses to International Tax Competition
Grounding transnational business governance
Dynamic governance interactions
Rethinking Private Authority
Correlates of rigorous and credible transnational governance
Certification systems for machine learning
Private regulation, public policy, and the perils of adverse ontological selection
Confronting trade‐offs and interactive effects in the choice of policy focus
Algorithms, data, and platforms
The supply and demand of governance in standard-setting
Role of the state and responsibility in governing artificial intelligence
Comparative studies of policy agendas
Making regulation flexible for the governance of disruptive innovation
Explaining policy change in the EU
International 'standards' and international governance
Globalization and the changing logic of collective action
Accountability in Accounting? The Politics of Private Rule-Making in the Public Interest
Private regulation and global economic change
Why Do Private Governance Organizations Not Converge? A Political-Institutional Analysis of Transnational Labor Standards Regulation
The Privatization of Global Environmental Governance
Automating Inequality
Can non-state global governance be legitimate? An analytical framework
Management-Based Regulation
Certifying Forests and Factories
Institutional Emergence in an Era of Globalization
| Unique citing works | 19 |
|---|---|
| Citations per year | 4,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |