Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

• URL: http://arxiv.org/abs/2305.09573v1
• Date: Tue, 16 May 2023 16:11:24 GMT
• Title: Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs
• Authors: Sanna J. Ali, Ang\`ele Christin, Andrew Smart, and Riitta Katila
• Abstract summary: We find that workers experience an environment where policies, practices, and outcomes are decoupled. We analyze AI ethics workers as ethics entrepreneurs who work to institutionalize new ethics-related practices within organizations.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Amidst decline in public trust in technology, computing ethics have taken center stage, and critics have raised questions about corporate ethics washing. Yet few studies examine the actual implementation of AI ethics values in technology companies. Based on a qualitative analysis of technology workers tasked with integrating AI ethics into product development, we find that workers experience an environment where policies, practices, and outcomes are decoupled. We analyze AI ethics workers as ethics entrepreneurs who work to institutionalize new ethics-related practices within organizations. We show that ethics entrepreneurs face three major barriers to their work. First, they struggle to have ethics prioritized in an environment centered around software product launches. Second, ethics are difficult to quantify in a context where company goals are incentivized by metrics. Third, the frequent reorganization of teams makes it difficult to access knowledge and maintain relationships central to their work. Consequently, individuals take on great personal risk when raising ethics issues, especially when they come from marginalized backgrounds. These findings shed light on complex dynamics of institutional change at technology companies.

Related papers

• Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework [0.0]
  This article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. Various actors, such as governments, academics, and civil society, can play a role in shaping the development of AI aligned with human and social values.
  arXiv  Detail & Related papers  (2024-05-02T19:43:51Z)
• Hacia una implementación ética e inclusiva de la Inteligencia Artificial en las organizaciones: un marco multidimensional [0.0]
  The article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. Various actors, such as governments, academics and civil society, can play a role in shaping the development of AI aligned with human and social values.
  arXiv  Detail & Related papers  (2024-04-30T22:11:05Z)
• Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making [69.44075077934914]
  "Responsible AI" emphasizes the critical nature of addressing biases within the development of a corporate culture. This thesis is structured around three fundamental pillars: understanding bias, mitigating bias, and accounting for bias. In line with open-source principles, we have released Bias On Demand and FairView as accessible Python packages.
  arXiv  Detail & Related papers  (2024-01-13T14:07:09Z)
• 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)
• The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward [56.16884466478886]
  This paper reviews emerging issues with opaque and uncontrollable AI systems. It proposes an integrative framework called violet teaming to develop reliable and responsible AI. It emerged from AI safety research to manage risks proactively by design.
  arXiv  Detail & Related papers  (2023-08-28T02:10:38Z)
• 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)
• 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)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• 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)
• Ethics in the digital era [0.0]
  Ethics is an ancient matter for human kind, from the origin of civilizations ethics have been related with the most relevant human concerns and determined cultures. The undergoing digital revolution enabled by Artificial Intelligence and Data are bringing ethical wicked problems in the social application of these technologies.
  arXiv  Detail & Related papers  (2020-03-14T01:32:11Z)

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.