Power to the people? Opportunities and challenges for participatory AI

A Birhane, W Isaac, V Prabhakaran, M Diaz… - Proceedings of the 2nd …, 2022 - dl.acm.org
Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining
momentum: the increased attention comes partly with the view that participation opens the …

[HTML][HTML] Ethics of AI-enabled recruiting and selection: A review and research agenda

AL Hunkenschroer, C Luetge - Journal of Business Ethics, 2022 - Springer
Companies increasingly deploy artificial intelligence (AI) technologies in their personnel
recruiting and selection process to streamline it, making it faster and more efficient. AI …

[HTML][HTML] Ethical considerations of using ChatGPT in health care

C Wang, S Liu, H Yang, J Guo, Y Wu, J Liu - Journal of Medical Internet …, 2023 - jmir.org
ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

[HTML][HTML] Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

L Seyyed-Kalantari, H Zhang, MBA McDermott… - Nature medicine, 2021 - nature.com
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in
medical imaging applications. However, there is growing concern that such AI systems may …

The fallacy of AI functionality

ID Raji, IE Kumar, A Horowitz, A Selbst - … of the 2022 ACM Conference on …, 2022 - dl.acm.org
Deployed AI systems often do not work. They can be constructed haphazardly, deployed
indiscriminately, and promoted deceptively. However, despite this reality, scholars, the …

Fairness in machine learning: A survey

S Caton, C Haas - ACM Computing Surveys, 2024 - dl.acm.org
When Machine Learning technologies are used in contexts that affect citizens, companies as
well as researchers need to be confident that there will not be any unexpected social …

Systemic discrimination among large US employers

P Kline, EK Rose, CR Walters - The Quarterly Journal of …, 2022 - academic.oup.com
We study the results of a massive nationwide correspondence experiment sending more
than 83,000 fictitious applications with randomized characteristics to geographically …

Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges

K Ahmad, M Maabreh, M Ghaly, K Khan, J Qadir… - Computer Science …, 2022 - Elsevier
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

[HTML][HTML] Algorithmic injustice: a relational ethics approach

A Birhane - Patterns, 2021 - cell.com
It has become trivial to point out that algorithmic systems increasingly pervade the social
sphere. Improved efficiency—the hallmark of these systems—drives their mass integration …