Languaging Ethics in Technology Practice

• URL: http://arxiv.org/abs/2304.05761v1
• Date: Wed, 12 Apr 2023 10:55:17 GMT
• Title: Languaging Ethics in Technology Practice
• Authors: Colin M. Gray, Shruthi Sai Chivukula, Janna Johns, Matthew Will, Ikechukwu Obi, Ziqing Li
• Abstract summary: We describe how technology and design practitioners negotiate their conception of ethics as they reflect upon their everyday work. Across three cases, we describe how ethics was negotiated through language across three key zones of ecological emergence. Building on these findings, we describe how the languaging of ethics reveals opportunities to definitionally and practically engage with ethics in technology ethics research, practice, and education.
• Score: 24.664789926639525
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Ethics as embodied by technology practitioners resists simple definition, particularly as it relates to the interplay of identity, organizational, and professional complexity. In this paper we use the linguistic notion of languaging as an analytic lens to describe how technology and design practitioners negotiate their conception of ethics as they reflect upon their everyday work. We engaged twelve practitioners in individual co-creation workshops, encouraging them to reflect on their ethical role in their everyday work through a series of generative and evaluative activities. We analyzed these data to identify how each practitioner reasoned about ethics through language and artifacts, finding that practitioners used a range of rhetorical tropes to describe their ethical commitments and beliefs in ways that were complex and sometimes contradictory. Across three cases, we describe how ethics was negotiated through language across three key zones of ecological emergence: the practitioner's "core" beliefs about ethics, internal and external ecological elements that shaped or mediated these core beliefs, and the ultimate boundaries they reported refusing to cross. Building on these findings, we describe how the languaging of ethics reveals opportunities to definitionally and practically engage with ethics in technology ethics research, practice, and education.

Related papers

• Quelle {é}thique pour quelle IA ? [0.0]
  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.
  arXiv  Detail & Related papers  (2024-05-21T08:13:02Z)
• Frameworking for a Community-led Feminist Ethics [9.89126103505209]
  This paper introduces a relational perspective on ethics within the context of Feminist Digital Civics and community-led design. We advocate for a community-led, processual approach to ethics, acknowledging power dynamics and local contexts.
  arXiv  Detail & Related papers  (2024-04-17T16:07:25Z)
• 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)
• Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness [55.037030060643126]
  Intersectionality is a critical framework that allows us to examine how social inequalities persist. We argue that adopting intersectionality as an analytical framework is pivotal to effectively operationalizing fairness.
  arXiv  Detail & Related papers  (2023-03-16T21:02:09Z)
• Ethics of Open Data [0.0]
  This chapter addresses emergent ethical issues in producing, using, curating, and providing services for open data. We begin with a brief overview of what can be thought of as three basic theories of ethics that intersect with dilemmas in openness, accountability, transparency, and fairness in data.
  arXiv  Detail & Related papers  (2022-05-20T18:44:00Z)
• 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)
• 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)
• Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes [72.64975113835018]
  Motivated by descriptive ethics, we investigate a novel, data-driven approach to machine ethics. We introduce Scruples, the first large-scale dataset with 625,000 ethical judgments over 32,000 real-life anecdotes. Our dataset presents a major challenge to state-of-the-art neural language models, leaving significant room for improvement.
  arXiv  Detail & Related papers  (2020-08-20T17:34:15Z)

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.