Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics

V Bogina, A Hartman, T Kuflik, A Shulner-Tal - International Journal of …, 2022 - Springer
This paper discusses educating stakeholders of algorithmic systems (systems that apply
Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness …

Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users' perceptions of fairness toward an algorithmic …

A Shulner-Tal, T Kuflik, D Kliger - Ethics and Information Technology, 2022 - Springer
In light of the widespread use of algorithmic (intelligent) systems across numerous domains,
there is an increasing awareness about the need to explain their underlying decision …

Black feminist musings on algorithmic oppression

LM Hampton - arXiv preprint arXiv:2101.09869, 2021 - arxiv.org
This paper unapologetically reflects on the critical role that Black feminism can and should
play in abolishing algorithmic oppression. Positioning algorithmic oppression in the broader …

Enhancing fairness perception–Towards human-centred AI and personalized explanations understanding the factors influencing laypeople's fairness perceptions of …

A Shulner-Tal, T Kuflik, D Kliger - International Journal of Human …, 2023 - Taylor & Francis
Whether we like it or not, algorithmic decision-making systems (ADMSs) are all around us.
These systems assist both public institutions and private organizations in making decisions …

Recent studies of xai-review

ZF Hu, T Kuflik, IG Mocanu, S Najafian… - Adjunct Proceedings of …, 2021 - dl.acm.org
Over the past years, there has been an increasing concern regarding the risk of bias and
discrimination in algorithmic systems, which received significant attention amongst the …

Performative ethics from within the ivory tower: how CS practitioners uphold systems of oppression

Z McFadden, L Alvarez - Journal of Artificial Intelligence Research, 2024 - jair.org
This paper analyzes where Artificial Intelligence (AI) ethics research fails and breaks down
the dangers of well-intentioned but ultimately performative ethics research. A large majority …

In humans, we trust: Multidisciplinary perspectives on the requirements for human oversight in algorithmic processes

K Kyriakou, J Otterbacher - Discover Artificial Intelligence, 2023 - Springer
Algorithms have greatly advanced and become integrated into our everyday lives. Although
they support humans in daily functions, they often exhibit unwanted behaviors perpetuating …

Who Made That Decision and Why? Users' Perceptions of Human Versus AI Decision-Making and the Power of Explainable-AI

A Shulner-Tal, T Kuflik, D Kliger… - International Journal of …, 2024 - Taylor & Francis
With the advent of artificial intelligence (AI) based systems, a new era has begun. Decisions
that were once made by humans are now increasingly being made by these advanced …

Michael is better than Mehmet: exploring the perils of algorithmic biases and selective adherence to advice from automated decision support systems in hiring

AM Rosenthal-von der Pütten, A Sach - Frontiers in Psychology, 2024 - frontiersin.org
Introduction Artificial intelligence algorithms are increasingly adopted as decisional aides in
many contexts such as human resources, often with the promise of being fast, efficient, and …

Die Theorie algorithmischer Sozialität (TaS)

R Seyfert - Österreichische Zeitschrift für Soziologie, 2024 - Springer
Der Artikel geht davon aus, dass die digitale Transformation mit gesellschaftlichen
Veränderungen einhergeht, die eine grundlegende Überarbeitung soziologischer …