Discrimination, bias, fairness, and trustworthy AI

D Varona, JL Suárez - Applied Sciences, 2022 - mdpi.com
Featured Application To understand the multiple definitions available for the variables
“Discrimination”,“Bias”,“Fairness”, and “Trustworthy AI” in the context of the social impact of …

Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges

S El-Sappagh, JM Alonso-Moral, T Abuhmed… - Artificial Intelligence …, 2023 - Springer
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Ethical, legal, social, and economic (ELSE) implications of artificial intelligence at a global level: a scientometrics approach

EO Benefo, A Tingler, M White, J Cover, L Torres… - AI and Ethics, 2022 - Springer
Artificial intelligence (AI) development and applications are growing rapidly. Simultaneously,
researchers have also been exploring the ethical, legal, social, and economic (ELSE) …

Social context of the issue of discriminatory algorithmic decision-making systems

D Varona, JL Suarez - AI & SOCIETY, 2023 - Springer
Algorithmic decision-making systems have the potential to amplify existing discriminatory
patterns and negatively affect perceptions of justice in society. There is a need for a revision …

Net versus relative impacts in public policy automation: a conjoint analysis of attitudes of Black Americans

R Kennedy, A Austin, M Adams, C Robinson, P Salib - AI & SOCIETY, 2024 - Springer
The use of algorithms and automated systems, especially those leveraging artificial
intelligence (AI), has been exploding in the public sector, but their use has been …

Understanding the Extent of Automation and Process Transparency Appropriate for Public Services: The AI Cases in Chinese Local Governments

Y Long, JR Gil-Garcia - International Journal of Electronic …, 2023 - igi-global.com
Many countries are exploring the potential of artificial intelligence (AI) to improve their
operations and services, and China is no exception. However, not all AI techniques or …

Courts as Anthrobots: Learning from Human Forms of Interaction to Develop a Philosophically Healthy Model for Judicial Automation

K Kelemen, L de Miranda - IJCA, 2024 - HeinOnline
KATALIN KELEMEN LUIS DE MIRANDA Page 1 International Journal For Court Administration
ACADEMIC ARTICLE KATALIN KELEMEN LUIS DE MIRANDA *Author affiliations can be …

La transformación digital es analógica porque está conducida por personas

YA Fernández, PR Olmedo, A Saarenpää - Revista cubana de …, 2020 - rctd.uic.cu
La Transformación digital de la sociedad abre una nueva ventana en las relaciones
Derecho y TIC, las tecnologías emergentes y disruptivas al extenderse su impacto de …

Predictive linguistic cues for fake news: a societal artificial intelligence problem

S Aneja, N Aneja, P Kumaraguru - arXiv preprint arXiv:2211.14505, 2022 - arxiv.org
Media news are making a large part of public opinion and, therefore, must not be fake. News
on web sites, blogs, and social media must be analyzed before being published. In this …

Bias Quantification for Protected Features in Pattern Classification Problems

L Koutsoviti Koumeri, G Nápoles - … , CIARP 2021, Porto, Portugal, May 10 …, 2021 - Springer
The need to measure and mitigate bias in machine learning data sets has gained wide
recognition in the field of Artificial Intelligence (AI) during the past decade. The academic …