Governance of Responsible AI: From Ethical Guidelines to Cooperative Policies

被引:19
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 110 条
[71]  
Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
[72]   The political imaginary of National AI Strategies [J].
Paltieli, Guy .
AI & SOCIETY, 2022, 37 (04) :1613-1624
[73]  
Pasquale F., 2015, The Black Box Society: The Secret Algorithms That Control Money and Information
[74]   Steering the governance of artificial intelligence: national strategies in perspective [J].
Radu, Roxana .
POLICY AND SOCIETY, 2021, 40 (02) :178-193
[75]   Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing [J].
Raji, Inioluwa Deborah ;
Gebru, Timnit ;
Mitchell, Margaret ;
Buolamwini, Joy ;
Lee, Joonseok ;
Denton, Emily .
PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020, 2020, :145-151
[76]   Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation [J].
Resnick, M ;
Berg, R ;
Eisenberg, M .
JOURNAL OF THE LEARNING SCIENCES, 2000, 9 (01) :7-30
[77]   PLATFORM COMPETITION IN TWO-SIDED MARKETS [J].
Rochet, Jean-Charles ;
Tirole, Jean .
JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION, 2003, 1 (04)
[78]  
Saariluoma P., 2021, ADV INTELLIGENT SYST, P75
[79]  
Saran S., 2018, Pursuit of Autonomy: AI and National Strategies
[80]   Artificial intelligence and social responsibility: the case of the artificial intelligence strategies in the United States, Russia, and China [J].
Saveliev, Anton ;
Zhurenkov, Denis .
KYBERNETES, 2021, 50 (03) :656-675