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
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
  • [21] Editorial: Ethical Guidelines and Policies of Bioarchaeology International
    Halcrow, Sian
    Schug, Gwen Robbins
    Agarwal, Sabrina
    Baker, Brenda
    BIOARCHAEOLOGY INTERNATIONAL, 2024, 8 (1-2): : 14 - 14
  • [22] Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries
    Piskopani, A-M.
    Chamberlain, A.
    Ten-Holter, C.
    FIRST INTERNATIONAL SYMPOSIUM ON TRUSTWORTHY AUTONOMOUS SYSTEMS, TAS 2023, 2022,
  • [23] Building a Responsible AI Ecosystem: Thailand's Journey Towards Ethical AI
    Piyatumrong, Apivadee
    HUMAN CHOICE AND COMPUTERS, HCC 2024, 2024, 719 : 9 - 11
  • [24] 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)
  • [25] Ensuring a ‘Responsible’ AI future in India: RRI as an approach for identifying the ethical challenges from an Indian perspectiveDriving Responsible AI in the world’s largest society: RRI as a tool for identifying the ethical challenges of AI in India
    Nitika Bhalla
    Laurence Brooks
    Tonii Leach
    AI and Ethics, 2024, 4 (4): : 1409 - 1422
  • [26] Governance in Ethical and Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP
    Agbese, Mamia
    Alanen, Hanna-Kaisa
    Antikainen, Jani
    Erika, Halme
    Isomaki, Hannakaisa
    Jantunen, Marianna
    Kemell, Kai -Kristian
    Rousi, Rebekah
    Vainio-Pekka, Heidi
    Vakkuri, Ville
    E-INFORMATICA SOFTWARE ENGINEERING JOURNAL, 2023, 17 (01)
  • [27] AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare
    Arbelaez Ossa, Laura
    Milford, Stephen R.
    Rost, Michael
    Leist, Anja K.
    Shaw, David M.
    Elger, Bernice S.
    SCIENCE AND ENGINEERING ETHICS, 2024, 30 (03)
  • [28] Towards ethical and socio-legal governance in AI
    Andreas Theodorou
    Virginia Dignum
    Nature Machine Intelligence, 2020, 2 : 10 - 12
  • [29] Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance
    Correa, Nicholas Kluge
    Galvao, Camila
    Santos, James William
    Del Pino, Carolina
    Pinto, Edson Pontes
    Barbosa, Camila
    Massmann, Diogo
    Mambrini, Rodrigo
    Galvao, Luiza
    Terem, Edmund
    de Oliveira, Nythamar
    PATTERNS, 2023, 4 (10):
  • [30] Towards ethical and socio-legal governance in AI
    Theodorou, Andreas
    Dignum, Virginia
    NATURE MACHINE INTELLIGENCE, 2020, 2 (01) : 10 - 12