We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines

M Chugunova, D Sele - Journal of Behavioral and Experimental Economics, 2022 - Elsevier
Today, humans interact with automation frequently and in a variety of settings ranging from
private to professional. Their behavior in these interactions has attracted considerable …

[PDF][PDF] We and it: An interdisciplinary review of the experimental evidence on human-machine interaction

M Chugunova, D Sele - Center for law & economics …, 2020 - research-collection.ethz.ch
Today, humans interact with technology frequently and in a variety of settings ranging from
private to professional. Their behavior in these interactions has attracted considerable …

Questioning racial and gender bias in AI-based recommendations: Do espoused national cultural values matter?

M Gupta, CM Parra, D Dennehy - Information Systems Frontiers, 2022 - Springer
One realm of AI, recommender systems have attracted significant research attention due to
concerns about its devastating effects to society's most vulnerable and marginalised …

Biased programmers? Or biased data? A field experiment in operationalizing AI ethics

B Cowgill, F Dell'Acqua, S Deng, D Hsu… - Proceedings of the 21st …, 2020 - dl.acm.org
Why do biased algorithmic predictions arise, and what interventions can prevent them? We
examine this topic with a field experiment about using machine learning to predict human …

Artificial intelligence and people management: A critical assessment through the ethical lens

A Varma, C Dawkins, K Chaudhuri - Human Resource Management …, 2023 - Elsevier
The dramatic increase in the use of Artificial Intelligence (AI) in workplaces around the world
has tremendous potential to increase business profitability. While AI has numerous useful …

Artificial intelligence and algorithmic bias: Source, detection, mitigation, and implications

R Fu, Y Huang, PV Singh - Pushing the Boundaries …, 2020 - pubsonline.informs.org
Artificial intelligence and machine learning (ML) algorithms are widely used throughout our
economy in making decisions that have far-reaching impacts on employment, education …

Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence

MP Dargnies, R Hakimov, D Kübler - Management Science, 2024 - pubsonline.informs.org
We run an online experiment to study the origins of algorithm aversion. Participants are in
the role of either workers or managers. Workers perform three real-effort tasks: task 1, task 2 …

The cost of ethical AI development for AI startups

J Bessen, SM Impink, R Seamans - Proceedings of the 2022 AAAI/ACM …, 2022 - dl.acm.org
Artificial Intelligence startups use training data as direct inputs in product development.
These firms must balance numerous tradeoffs between ethical issues and data access …

Can artificial intelligence improve gender equality? Evidence from a natural experiment

L Bao, D Huang, C Lin - Management Science, 2024 - pubsonline.informs.org
Gender discrimination in education hinders women's representation in various fields. How
can we create a gender-neutral learning environment when teachers' gender composition …

Ai and algorithmic bias: Source, detection, mitigation and implications

R Fu, Y Huang, PV Singh - Detection, Mitigation and Implications …, 2020 - papers.ssrn.com
Artificial intelligence (AI) and machine learning (ML) algorithms are widely used throughout
our economy in making decisions that have far-reaching impacts on employment, education …