[HTML][HTML] What influences algorithmic decision-making? A systematic literature review on algorithm aversion

H Mahmud, AKMN Islam, SI Ahmed… - … Forecasting and Social …, 2022 - Elsevier
With the continuing application of artificial intelligence (AI) technologies in decision-making,
algorithmic decision-making is becoming more efficient, often even outperforming humans …

A systematic review of algorithm aversion in augmented decision making

JW Burton, MK Stein, TB Jensen - Journal of behavioral …, 2020 - Wiley Online Library
Despite abundant literature theorizing societal implications of algorithmic decision making,
relatively little is known about the conditions that lead to the acceptance or rejection of …

[PDF][PDF] Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion

E Jussupow, I Benbasat, A Heinzl - 2020 - researchgate.net
With technological developments in artificial intelligence, algorithms are increasingly
capable to perform tasks that were considered to be unique for humans. However, literature …

Chatbots to support young adults' mental health: an exploratory study of acceptability

T Koulouri, RD Macredie, D Olakitan - ACM Transactions on Interactive …, 2022 - dl.acm.org
Despite the prevalence of mental health conditions, stigma, lack of awareness, and limited
resources impede access to care, creating a need to improve mental health support. The …

[HTML][HTML] What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness

H Mahmud, AKMN Islam, RK Mitra - Technological Forecasting and Social …, 2023 - Elsevier
Artificial intelligence has been increasingly used in many managerial decision-making
contexts for its superior performance. However, many managers are still averse to using AI …

Do i trust my machine teammate? an investigation from perception to decision

K Yu, S Berkovsky, R Taib, J Zhou, F Chen - Proceedings of the 24th …, 2019 - dl.acm.org
In the human-machine collaboration context, understanding the reason behind each human
decision is critical for interpreting the performance of the human-machine team. Via an …

Providing explanations for recommendations in reciprocal environments

A Kleinerman, A Rosenfeld, S Kraus - … of the 12th ACM conference on …, 2018 - dl.acm.org
Automated platforms which support users in finding a mutually beneficial match, such as
online dating and job recruitment sites, are becoming increasingly popular. These platforms …

Technology paternalism and smart products: Review, synthesis, and research agenda

M Rochi - Technological Forecasting and Social Change, 2023 - Elsevier
Artificial intelligence is increasingly influencing our daily lives. Algorithms enable objects to
act autonomously, make decisions without the user's consent, and thus threaten the user's …

The AI‐augmented crowd: How human crowdvoters adopt AI (or not)

E Freisinger, M Unfried… - Journal of Product …, 2024 - Wiley Online Library
To date, innovation management research on idea evaluation has focused on human
experts and crowd evaluators. With recent advances in artificial intelligence (AI), idea …

Knowing when to pass: The effect of AI reliability in risky decision contexts

H Elder, C Canfield, DB Shank, T Rieger… - Human …, 2024 - journals.sagepub.com
Objective This study manipulates the presence and reliability of AI recommendations for
risky decisions to measure the effect on task performance, behavioral consequences of trust …