Who Speaks for Ethics? How Demographics Shape Ethical Advocacy in Software Development
- URL: http://arxiv.org/abs/2504.10276v1
- Date: Mon, 14 Apr 2025 14:43:57 GMT
- Title: Who Speaks for Ethics? How Demographics Shape Ethical Advocacy in Software Development
- Authors: Lauren Olson, Ricarda Anna-Lena Fischer, Florian Kunneman, Emitzá Guzmán,
- Abstract summary: This study investigates ethical concerns in software development, focusing on how they are perceived, prioritized, and addressed by demographically different practitioners.<n>Our findings reveal pronounced demographic disparities, with marginalized groups - including women, BIPOC, and disabled individuals - reporting ethical concerns at higher frequencies.<n>These insights underscore the urgent need for reforms in software education and development processes that center on diverse perspectives.
- Score: 3.504870208291045
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The integration of ethics into software development faces significant challenges due to market fundamentalism in organizational practices, where profit often takes precedence over ethical considerations. Additionally, the critical influence of practitioners' individual backgrounds on ethical decision-making remains underexplored, highlighting a gap in comprehensive research. This is especially essential to understand due to the demographic imbalance in software roles. This study investigates ethical concerns in software development, focusing on how they are perceived, prioritized, and addressed by demographically different practitioners. By surveying 217 software practitioners across diverse roles, industries, and countries, we identify critical barriers to ethical integration and examine practitioners' capacity to mitigate these issues. Our findings reveal pronounced demographic disparities, with marginalized groups - including women, BIPOC, and disabled individuals - reporting ethical concerns at higher frequencies. Notably, marginalized practitioners demonstrated heightened sensitivity to ethical implementation and greater empowerment to address them. However, practitioners overall often lack the support needed to address ethical challenges effectively. These insights underscore the urgent need for reforms in software education and development processes that center on diverse perspectives. Such reforms are essential to advancing ethical integration in software development and ensuring responsible computing practices in an increasingly complex technological landscape.
Related papers
- Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice [57.94036023167952]
We argue that the efforts aiming to study AI's ethical ramifications should be made in tandem with those evaluating its impacts on the environment.<n>We propose best practices to better integrate AI ethics and sustainability in AI research and practice.
arXiv Detail & Related papers (2025-04-01T13:53:11Z) - Crossing Margins: Intersectional Users' Ethical Concerns about Software [3.0830895408549583]
This work aims to fill the gap in research on intersectional users' software-related perspectives.
We collected posts from over 700 intersectional subreddits discussing software applications.
Our findings revealed that intersectional communities report textitcritical complaints related to cyberbullying, inappropriate content, and discrimination.
arXiv Detail & Related papers (2024-10-10T16:33:05Z) - Raising AI Ethics Awareness through an AI Ethics Quiz for Software Practitioners [7.928588994077104]
Research indicates a significant gap in practitioners' awareness and knowledge of AI ethics and ethical principles.
We developed a software-based tool, the AI Ethics Quiz, to raise awareness and enhance the knowledge of AI ethics among software practitioners.
arXiv Detail & Related papers (2024-08-28T23:36:13Z) - Exploring the ethical sensitivity of Ph.D. students in robotics [0.0]
The concept of ethical sensitivity has been widely studied in healthcare, business, and other domains.
It appears to have received little to no attention within the robotics community, even though choices in the design and deployment of robots are likely to have profound ethical impacts on society.
We conducted a qualitative exploration of the ethical sensitivity of a sample of Ph.D. students in robotics using case vignettes that exemplified ethical tensions in disaster robotics.
arXiv Detail & Related papers (2024-05-05T11:11:51Z) - 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) - 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) - EALM: Introducing Multidimensional Ethical Alignment in Conversational
Information Retrieval [43.72331337131317]
We introduce a workflow that integrates ethical alignment with an initial ethical judgment stage for efficient data screening.
We present the QA-ETHICS dataset adapted from the ETHICS benchmark, which serves as an evaluation tool by unifying scenarios and label meanings.
In addition, we suggest a new approach that achieves top performance in both binary and multi-label ethical judgment tasks.
arXiv Detail & Related papers (2023-10-02T08:22:34Z) - Walking the Walk of AI Ethics: Organizational Challenges and the
Individualization of Risk among Ethics Entrepreneurs [0.0]
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.
arXiv Detail & Related papers (2023-05-16T16:11:24Z) - Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
We argue that ethical considerations need to be embedded into the (agile) software development process.
We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
arXiv Detail & Related papers (2021-07-15T11:14:03Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z) - 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)
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.