Search Results - subject:"algorithm aversion"

Impact of the decoy effect on algorithm aversion

Lorenz, Marco - 2022

Persistent link: https://www.econbiz.de/10013358815

Why Providing Humans with Interpretable Algorithms May, Counterintuitively, Lead to Lower Decision-making Performance

DeStefano, Timothy; Kellogg, Katherine C.; Menietti, Michael - 2022

How is algorithmic model interpretability related to human acceptance of algorithmic recommendations and performance on decision-making tasks? We explored these questions in a multi-method field study of a large multinational fashion organization. We first conducted a quantitative field...

Persistent link: https://www.econbiz.de/10014243961

Comparing different kinds of influence on an algorithm in its forecasting process and their impact on algorithm aversion

Gubaydullina, Zulia; Judek, Jan René; Lorenz, Marco; … - In: Businesses 2 (2022) 4, pp. 448-470

resort to their use. In an economic experiment, we examine whether the extent of this phenomenon known as algorithm aversion … algorithm aversion recedes significantly if the subjects can subsequently change the results of the algorithm-and even if this … influence on the algorithmic input seems to have only a limited ability to reduce algorithm aversion. A limited opportunity to …

Persistent link: https://www.econbiz.de/10014281879

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

Dargnies, Marie-Pierre; Hakimov, Rustamdjan; Kübler, … - 2022

We run an online experiment to study the origins of algorithm aversion. Participants are either in the role of workers …

Persistent link: https://www.econbiz.de/10013399248

Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence

Dargnies, Marie-Pierre; Hakimov, Rustamdjan; Kübler, … - 2022

We run an online experiment to study the origins of algorithm aversion. Participants are either in the role of workers …

Persistent link: https://www.econbiz.de/10013427754

Is your machine better than you? You may never know

de Véricourt, Francis; Gurkan, Huseyin - 2022

Artificial intelligence systems are increasingly demonstrating their capacity to make better predictions than human experts. Yet, recent studies suggest that professionals sometimes doubt the quality of these systems and overrule machine-based prescriptions. This paper explores the extent to...

Persistent link: https://www.econbiz.de/10013471327

Control issues : how providing input affects auditors' reliance on artificial intelligence

Commerford, Benjamin P.; Eilifsen, Aasmund; Hatfield, … - In: Contemporary accounting research : the journal of the … 41 (2024) 4, pp. 2134-2162

Persistent link: https://www.econbiz.de/10015156996

AI is not careful : approach to the stock market and preference for AI advisor

Koo, Jieun - In: International journal of bank marketing 42 (2024) 7, pp. 2117-2142

Persistent link: https://www.econbiz.de/10015202496

Algorithm aversion, emotions, and investor reaction : does disclosing the use of AI influence investment decisions?

Downen, Tom; Kim, Sarah; Lee, Lorraine - In: International journal of accounting information systems 52 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10015072394

AI is not careful: approach to the stock market and preference for AI advisor

Koo, Jieun - In: International Journal of Bank Marketing 42 (2024) 7, pp. 2117-2142

for investing and whether this algorithm aversion diminishes for trading. Design/methodology/approach The four hypotheses …. Originality/value This research is the first to investigate whether algorithm aversion varies based on whether one’s approach to …

Persistent link: https://www.econbiz.de/10015344645