Exploring the darkverse: A multi-perspective analysis of the negative societal impacts of the metaverse

YK Dwivedi, N Kshetri, L Hughes, NP Rana… - Information Systems …, 2023 - Springer
The Metaverse has the potential to form the next pervasive computing archetype that can
transform many aspects of work and life at a societal level. Despite the many forecasted …

Meaningful human control: actionable properties for AI system development

L Cavalcante Siebert, ML Lupetti, E Aizenberg… - AI and Ethics, 2023 - Springer
How can humans remain in control of artificial intelligence (AI)-based systems designed to
perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits …

A feeling for the algorithm: Diversity, expertise, and artificial intelligence

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 …

EqBal-RS: Mitigating popularity bias in recommender systems

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 …

A framework for exploring the consequences of ai-mediated enterprise knowledge access and identifying risks to workers

A Gausen, B Mitra, S Lindley - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Organisations generate vast amounts of information, which has resulted in a long-term
research effort into knowledge access systems for enterprise settings. Recent developments …

[PDF][PDF] Towards shaping the future of responsible AI in africa

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 …

[HTML][HTML] Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective

M Ghasemaghaei, N Kordzadeh - Information & Management, 2024 - Elsevier
Unjust algorithmic recommendations can lead decision makers to discriminatory choices,
risking harm to individuals or groups. This study addresses this concerning phenomenon …

[图书][B] Pragmatism and methodology: doing research that matters with mixed methods

A Gillespie, V Glăveanu, C de Saint Laurent - 2024 - books.google.com
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 …

The bias beneath: analyzing drift in YouTube's algorithmic recommendations

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 …

Revisiting popularity and demographic biases in recommender evaluation and effectiveness

N Neophytou, B Mitra, C Stinson - European Conference on Information …, 2022 - Springer
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 …