How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits …
C Stinson, S Vlaad - Big Data & Society, 2024 - journals.sagepub.com
Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled …
S Gupta, K Kaur, S Jain - Journal of Intelligent Information Systems, 2024 - Springer
Recommender systems are deployed heavily by many online platforms for better user engagement and providing recommendations. Despite being so popular, several works …
Organisations generate vast amounts of information, which has resulted in a long-term research effort into knowledge access systems for enterprise settings. Recent developments …
DO Eke, SS Chintu, K Wakunuma - Responsible AI in Africa …, 2023 - library.oapen.org
The accelerated acceptance and deployment of digital technologies (especially Artificial Intelligence-AI) occasioned by the COVID-19 pandemic (Chang 2020; Kumar et al. 2021) is …
Unjust algorithmic recommendations can lead decision makers to discriminatory choices, risking harm to individuals or groups. This study addresses this concerning phenomenon …
Taking a pragmatist approach to methods and methodology that fosters meaningful, impactful, and ethical research, this book rises to the challenge of today's data revolution. It …
MC Cakmak, N Agarwal, R Oni - Social Network Analysis and Mining, 2024 - Springer
In today's digital world, understanding how YouTube's recommendation systems guide what we watch is crucial. This study dives into these systems, revealing how they influence the …
Recommendation algorithms are susceptible to popularity bias: a tendency to recommend popular items even when they fail to meet user needs. A related issue is that the …