Governance of Responsible AI: From Ethical Guidelines to Cooperative Policies

被引:14
|
作者
Gianni, Robert [1 ]
Lehtinen, Santtu [2 ]
Nieminen, Mika [2 ]
机构
[1] Maastricht Univ, Brightland Inst Smart Soc, Maastricht, Netherlands
[2] VTT Tech Res Ctr Finland, Ethics & Responsibil Innovat, Tampere, Finland
来源
FRONTIERS IN COMPUTER SCIENCE | 2022年 / 4卷
基金
芬兰科学院;
关键词
Artificial Intelligence; governance; ethics; democracy-citizen; National Strategy for Artificial Intelligence; pragmatism; ARTIFICIAL-INTELLIGENCE; TRANSPARENCY;
D O I
10.3389/fcomp.2022.873437
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The increasingly pervasive role of Artificial Intelligence (AI) in our societies is radically changing the way that social interaction takes place within all fields of knowledge. The obvious opportunities in terms of accuracy, speed and originality of research are accompanied by questions about the possible risks and the consequent responsibilities involved in such a disruptive technology. In recent years, this twofold aspect has led to an increase in analyses of the ethical and political implications of AI. As a result, there has been a proliferation of documents that seek to define the strategic objectives of AI together with the ethical precautions required for its acceptable development and deployment. Although the number of documents is certainly significant, doubts remain as to whether they can effectively play a role in safeguarding democratic decision-making processes. Indeed, a common feature of the national strategies and ethical guidelines published in recent years is that they only timidly address how to integrate civil society into the selection of AI objectives. Although scholars are increasingly advocating the necessity to include civil society, it remains unclear which modalities should be selected. If both national strategies and ethics guidelines appear to be neglecting the necessary role of a democratic scrutiny for identifying challenges, objectives, strategies and the appropriate regulatory measures that such a disruptive technology should undergo, the question is then, what measures can we advocate that are able to overcome such limitations? Considering the necessity to operate holistically with AI as a social object, what theoretical framework can we adopt in order to implement a model of governance? What conceptual methodology shall we develop that is able to offer fruitful insights to governance of AI? Drawing on the insights of classical pragmatist scholars, we propose a framework of democratic experimentation based on the method of social inquiry. In this article, we first summarize some of the main points of discussion around the potential societal, ethical and political issues of AI systems. We then identify the main answers and solutions by analyzing current national strategies and ethics guidelines. After showing the theoretical and practical limits of these approaches, we outline an alternative proposal that can help strengthening the active role of society in the discussion about the role and extent of AI systems.
引用
收藏
页数:17
相关论文
共 50 条
  • [32] Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry
    Moekander, Jakob
    Sheth, Margi
    Gersbro-Sundler, Mimmi
    Blomgren, Peder
    Floridi, Luciano
    FRONTIERS IN COMPUTER SCIENCE, 2022, 4
  • [33] Trustworthy AI and Corporate Governance: The EU’s Ethics Guidelines for Trustworthy Artificial Intelligence from a Company Law Perspective
    Eleanore Hickman
    Martin Petrin
    European Business Organization Law Review, 2021, 22 : 593 - 625
  • [34] AI literacy guidelines and policies for academic libraries: A scoping review
    Ali, Muhammad Yousuf
    Richardson, Joanna
    IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS, 2025,
  • [35] Responsible AI: From Principles to Action
    Dignum, Virginia
    PROCEEDINGS OF ROBOPHILOSOPHY - SOCIAL ROBOTS IN SOCIAL INSTITUTIONS, 2022, 366 : 13 - 13
  • [36] From fear to action: AI governance and opportunities for all
    Baum, Kevin
    Bryson, Joanna
    Dignum, Frank
    Dignum, Virginia
    Grobelnik, Marko
    Hoos, Holger
    Irgens, Morten
    Lukowicz, Paul
    Muller, Catelijne
    Rossi, Francesca
    Shawe-Taylor, John
    Theodorou, Andreas
    Vinuesa, Ricardo
    FRONTIERS IN COMPUTER SCIENCE, 2023, 5
  • [37] Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review
    Boege, Selina
    Milne-Ives, Madison
    Meinert, Edward
    JMIR RESEARCH PROTOCOLS, 2024, 13
  • [38] Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
    Lu, Qinghua
    Zhu, Liming
    Xu, Xiwei
    Whittle, Jon
    Zowghi, Didar
    Jacquet, Aurelie
    ACM COMPUTING SURVEYS, 2024, 56 (07)
  • [39] Emerging Consensus on 'Ethical AI': Human Rights Critique of Stakeholder Guidelines
    Fukuda-Parr, Sakiko
    Gibbons, Elizabeth
    GLOBAL POLICY, 2021, 12 : 32 - 44
  • [40] Ethical Issues From Emerging AI Applications: Harms Are Happening
    Grodzinsky, Frances S.
    Wolf, Marty J.
    Miller, Keith W.
    COMPUTER, 2024, 57 (02) : 44 - 52