SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversion
0 references·16 citing·41 second hop
Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversion (2020)Why are we averse towards Algorithms? A c…A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review (2025)A Multifaceted Vision of the …The effect of source disclosure on evaluation of AI-generated messages (2024)The effect of source disclosu…Perceived opacity leads to algorithm aversion in the workplace (2024)Perceived opacity leads to al…Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance (2024)Ethics in the Age of Algorith…An Integrative Perspective on Algorithm Aversion and Appreciation in Decision-Making (2024)An Integrative Perspective on…Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization (2023)Machine learning advice in ma…Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems (2023)Knowing About Knowing: An Ill…Justice, trust, and moral judgements when personnel selection is supported by algorithms (2023)Justice, trust, and moral jud…CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models (2023)CatAlyst: Domain-Extensible I…Can AI close the gender gap in the job market? Individuals' preferences for AI evaluations (2023)Can AI close the gender gap i…Algorithm Aversion: Evidence from Ridesharing Drivers (2023)Algorithm Aversion: Evidence …A theory of predictive sales analytics adoption (2023)A theory of predictive sales …We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines (2022)We and It: An interdisciplina…People versus machines: introducing the HIRE framework (2022)People versus machines: intro…Who is the Expert? Reconciling Algorithm Aversion and Algorithm Appreciation in AI-Supported Decision Making (2021)Who is the Expert? Reconcilin…People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors (2021)People underestimate the erro…Leadership in Organizations (1981)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Algorithm appreciation: People prefer algorithmic to human judgment (2019)Effective human–AI work design for collaborative decision-making (2022)Government regulation or industry self-regulation of AI? Investigating the relationships between uncertainty avoidance, people’s AI risk perceptions, and their regulatory preferences in Europe (2024)On the dimensionality of organizational justice: A construct validation of a measure. (2001)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Gender equity in hiring: examining the effectiveness of a personality-based algorithm (2023)AI and discriminative decisions in recruitment: Challenging the core assumptions (2024)Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for Enhanced Diversity and Inclusivity (2024)The Narrative Construction of Reality (1991)Trust in Automation: Designing for Appropriate Reliance (2004)The integrative review: updated methodology (2005)Regulating Government AI and the Challenge of Sociotechnical Design (2023)The impact of generative artificial intelligence on socioeconomic inequalities and policy making (2023)Technology opportunity discovery linking artificial intelligence and construction technologies: A graph convolution network-based approach (2024)Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments. (1999)Likert scales, levels of measurement and the “laws” of statistics (2010)Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate (2024)Autonomy by Design: Preserving Human Autonomy in AI Decision-Support (2025)AFFECT- AND COGNITION-BASED TRUST AS FOUNDATIONS FOR INTERPERSONAL COOPERATION IN ORGANIZATIONS. (1995)Algorithmic human resource management: toward a functional affordance perspective (2024)Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management (2025)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)A power primer. (1992)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer (2024)Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades (1998)Heuristic versus systematic information processing and the use of source versus message cues in persuasion. (1980)Perception of Risk (1987)Dual-process theories in social psychology (1999)Generating Credibility in Crisis: Will an AI-Scripted Response Be Accepted? (2024)Understanding model power in social AI (2024)Algorithms at Work: The New Contested Terrain of Control (2019)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)On preferring people to algorithms (2025)Research on Influencing Factors of Users’ Willingness to Adopt GAI for Collaborative Decision-Making in Generative Artificial Intelligence Context (2025)Satisficing vs. Maximizing in Prompt Writing: Trait and Task Effects in Human–AI Interaction (2026)Digital divide research, achievements and shortcomings (2006)Artificial Intelligence (AI) Ethics (2020)Human-Centered AI (2022)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2024An Integrative Perspective on Algorithm Aversion and Appreciation in Decision-Making125 cited
  • 2022We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines118 cited
  • 2021Who is the Expert? Reconciling Algorithm Aversion and Algorithm Appreciation in AI-Supported Decision Making108 cited
  • 2023Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems104 cited
  • 2024The effect of source disclosure on evaluation of AI-generated messages81 cited
  • 2025A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review72 cited
  • 2023Algorithm Aversion: Evidence from Ridesharing Drivers64 cited
  • 2022People versus machines: introducing the HIRE framework46 cited
  • 2023Justice, trust, and moral judgements when personnel selection is supported by algorithms38 cited
  • 2023Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization38 cited
  • 2024Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance32 cited
  • 2023A theory of predictive sales analytics adoption32 cited
  • 2023CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

29 cited
  • 2021People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors25 cited
  • 2023Can AI close the gender gap in the job market? Individuals' preferences for AI evaluations20 cited
  • 2024Perceived opacity leads to algorithm aversion in the workplace18 cited