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 …

[HTML][HTML] Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

Trustworthy llms: a survey and guideline for evaluating large language models' alignment

Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng… - arxiv preprint arxiv …, 2023 - arxiv.org
Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

Six human-centered artificial intelligence grand challenges

O Ozmen Garibay, B Winslow, S Andolina… - … Journal of Human …, 2023 - Taylor & Francis
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …

An overview of artificial intelligence ethics

C Huang, Z Zhang, B Mao, X Yao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is
being applied in more and more fields and scenarios such as autonomous driving, medical …

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 …

Trustworthy artificial intelligence: a review

D Kaur, S Uslu, KJ Rittichier, A Durresi - ACM computing surveys (CSUR …, 2022 - dl.acm.org
Artificial intelligence (AI) and algorithmic decision making are having a profound impact on
our daily lives. These systems are vastly used in different high-stakes applications like …

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 …

Bias mitigation for machine learning classifiers: A comprehensive survey

M Hort, Z Chen, JM Zhang, M Harman… - ACM Journal on …, 2024 - dl.acm.org
This article provides a comprehensive survey of bias mitigation methods for achieving
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …

Metaverse: Security and privacy issues

R Di Pietro, S Cresci - … conference on trust, privacy and security …, 2021 - ieeexplore.ieee.org
The metaverse promises a host of bright opportunities for business, economics, and society.
Though, a number of critical aspects are still to be considered and the analysis of their …