Quelle {é}thique pour quelle IA ?
- URL: http://arxiv.org/abs/2407.17585v1
- Date: Tue, 21 May 2024 08:13:02 GMT
- Title: Quelle {é}thique pour quelle IA ?
- Authors: David Doat,
- Abstract summary: This study proposes an analysis of the different types of ethical approaches involved in the ethics of AI.
The author introduces to the contemporary need for and meaning of ethics, distinguishes it from other registers of normativities and underlines its inadequacy to formalization.
The study concludes with a reflection on the reasons why a human ethics of AI based on a pragmatic practice of contextual ethics remains necessary and irreducible to any formalization or automated treatment of the ethical questions that arise for humans.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This study proposes an analysis of the different types of ethical approaches involved in the ethics of AI, and situates their interests and limits. First, the author introduces to the contemporary need for and meaning of ethics. He distinguishes it from other registers of normativities and underlines its inadequacy to formalization. He then presents a cartography of the landscape of ethical theories covered by moral philosophy, taking care to distinguish meta-ethics, normative ethics and applied ethics. In drawing up this overview, the author questions the relationship between ethics and artificial intelligence. The analysis focuses in particular on the main ethical currents that have imposed themselves in the ways of doing digital ethics and AI in our Western democracies. The author asks whether these practices of ethics, as they seem to crystallize today in a precise pattern, constitute a sufficient and sufficiently satisfactory response to our needs for ethics in AI. The study concludes with a reflection on the reasons why a human ethics of AI based on a pragmatic practice of contextual ethics remains necessary and irreducible to any formalization or automated treatment of the ethical questions that arise for humans.
Related papers
- Towards a Feminist Metaethics of AI [0.0]
I argue that these insufficiencies could be mitigated by developing a research agenda for a feminist metaethics of AI.
Applying this perspective to the context of AI, I suggest that a feminist metaethics of AI would examine: (i) the continuity between theory and action in AI ethics; (ii) the real-life effects of AI ethics; (iii) the role and profile of those involved in AI ethics; and (iv) the effects of AI on power relations through methods that pay attention to context, emotions and narrative.
arXiv Detail & Related papers (2023-11-10T13:26:45Z) - Unpacking the Ethical Value Alignment in Big Models [46.560886177083084]
This paper provides an overview of the risks and challenges associated with big models, surveys existing AI ethics guidelines, and examines the ethical implications arising from the limitations of these models.
We introduce a novel conceptual paradigm for aligning the ethical values of big models and discuss promising research directions for alignment criteria, evaluation, and method.
arXiv Detail & Related papers (2023-10-26T16:45:40Z) - Introduction to ethics in the age of digital communication [1.922823221013346]
This article serves as an introduction to ethics in the field of digital communication.
It gives a brief overview of applied ethics as a practical sub-field of ethics.
The article also discusses the ways in which the nature of ethics in the field of communication has been changing, and the impact of emerging technology on these changes.
arXiv Detail & Related papers (2023-08-28T09:03:15Z) - Ethics in AI through the Practitioner's View: A Grounded Theory
Literature Review [12.941478155592502]
In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives.
We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners' views on ethics in AI.
We present a taxonomy of ethics in AI from practitioners' viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics.
arXiv Detail & Related papers (2022-06-20T00:28:51Z) - Fairness in Agreement With European Values: An Interdisciplinary
Perspective on AI Regulation [61.77881142275982]
This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them.
We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives.
We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
arXiv Detail & Related papers (2022-06-08T12:32:08Z) - AiSocrates: Towards Answering Ethical Quandary Questions [51.53350252548668]
AiSocrates is a system for deliberative exchange of different perspectives to an ethical quandary.
We show that AiSocrates generates promising answers to ethical quandary questions with multiple perspectives.
We argue that AiSocrates is a promising step toward developing an NLP system that incorporates human values explicitly by prompt instructions.
arXiv Detail & Related papers (2022-05-12T09:52:59Z) - Metaethical Perspectives on 'Benchmarking' AI Ethics [81.65697003067841]
Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research.
An increasingly prominent research area in AI is ethics, which currently has no set of benchmarks nor commonly accepted way for measuring the 'ethicality' of an AI system.
We argue that it makes more sense to talk about 'values' rather than 'ethics' when considering the possible actions of present and future AI systems.
arXiv Detail & Related papers (2022-04-11T14:36:39Z) - An Ecosystem Approach to Ethical AI and Data Use: Experimental
Reflections [0.0]
This paper offers a methodology to identify the needs of AI practitioners when it comes to confronting and resolving ethical challenges.
We offer a grassroots approach to operational ethics based on dialog and mutualised responsibility.
arXiv Detail & Related papers (2020-12-27T07:41:26Z) - AI virtues -- The missing link in putting AI ethics into practice [0.0]
The paper defines four basic AI virtues, namely justice, honesty, responsibility and care.
It defines two second-order AI virtues, prudence and fortitude, that bolster achieving the basic virtues.
arXiv Detail & Related papers (2020-11-25T14:14:47Z) - Case Study: Deontological Ethics in NLP [119.53038547411062]
We study one ethical theory, namely deontological ethics, from the perspective of NLP.
In particular, we focus on the generalization principle and the respect for autonomy through informed consent.
We provide four case studies to demonstrate how these principles can be used with NLP systems.
arXiv Detail & Related papers (2020-10-09T16:04:51Z) - On the Morality of Artificial Intelligence [154.69452301122175]
We propose conceptual and practical principles and guidelines for Machine Learning research and deployment.
We insist on concrete actions that can be taken by practitioners to pursue a more ethical and moral practice of ML aimed at using AI for social good.
arXiv Detail & Related papers (2019-12-26T23:06:54Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.