Algorithmic fairness in artificial intelligence for medicine and healthcare

RJ Chen, JJ Wang, DFK Williamson, TY Chen… - Nature biomedical …, 2023 - nature.com
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

A review on fairness in machine learning

D Pessach, E Shmueli - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …

Holistic evaluation of language models

P Liang, R Bommasani, T Lee, D Tsipras… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …

A SWOT analysis of ChatGPT: Implications for educational practice and research

M Farrokhnia, SK Banihashem… - … in Education and …, 2024 - Taylor & Francis
ChatGPT is an AI tool that has sparked debates about its potential implications for education.
We used the SWOT analysis framework to outline ChatGPT's strengths and weaknesses and …

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

A Srivastava, A Rastogi, A Rao, AAM Shoeb… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Taxonomy of risks posed by language models

L Weidinger, J Uesato, M Rauh, C Griffin… - Proceedings of the …, 2022 - dl.acm.org
Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

Regulating ChatGPT and other large generative AI models

P Hacker, A Engel, M Mauer - Proceedings of the 2023 ACM Conference …, 2023 - dl.acm.org
Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are
rapidly transforming the way we communicate, illustrate, and create. However, AI regulation …

[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

N Díaz-Rodríguez, J Del Ser, M Coeckelbergh… - Information …, 2023 - Elsevier
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

A survey on the fairness of recommender systems

Y Wang, W Ma, M Zhang, Y Liu, S Ma - ACM Transactions on …, 2023 - dl.acm.org
Recommender systems are an essential tool to relieve the information overload challenge
and play an important role in people's daily lives. Since recommendations involve …

Ethical and social risks of harm from language models

L Weidinger, J Mellor, M Rauh, C Griffin… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper aims to help structure the risk landscape associated with large-scale Language
Models (LMs). In order to foster advances in responsible innovation, an in-depth …