Dataset Information

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

ABSTRACT: Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particularly, AI decision making has become involved in almost every aspect of human resource management, including recruiting, selecting, motivating, and retaining employees. However, existing research only considers single-stage decision-making processes and overlooks more common multistage decision-making processes. Drawing upon person-environment fit theory and the algorithm reductionism perceptive, we explore how and when the order of decision makers (i.e., AI-human order vs. human-AI order) affects procedural justice in a multistage decision-making process involving AI and humans. We propose and found that individuals perceived a decision-making process arranged in human-AI order as having less AI ability-power fit (i.e., the fit between the abilities of AI and the power it is granted) than when the process was arranged in AI-human order, which led to less procedural justice. Furthermore, perceived AI ability buffered the indirect effect of the order of decision makers (i.e., AI-human order vs. human-AI order) on procedural justice via AI ability-power fit. Together, our findings suggest that the position of AI in collaborations with humans has profound impacts on individuals' justice perceptions regarding their decision making.

SUBMITTER: Jiang L

PROVIDER: S-EPMC10351705 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

Jiang Luyuan L Qin Xin X Yam Kai Chi KC Dong Xiaowei X Liao Wanqi W Chen Chen C

PloS one 20230717 7

Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particularly, AI decision making has become involved in almost every aspect of human resource management, including recruiting, selecting, motivating, and retaining employees. However, existing research only considers single-stage decision-making processes and overlooks more common multistage decision-making processes. Drawing upon person-environment fit t ...[more]

PMID: 37459307

Similar Datasets

Project description:ContextThe function of medical school entities that determine student advancement or dismissal has gone largely unexplored. The decision making of 'academic progress' or student promotions committees is examined using a theoretical framework contrasting ethics of justice and care, with roots in the moral development work of theorists Kohlberg and Gilligan.ObjectivesTo ascertain promotions committee members' conceptualisation of the role of their committee, ethical orientations used in member decision making, and student characteristics most influential in that decision making.MethodsAn electronic survey was distributed to voting members of promotions committees at 143 accredited allopathic medical schools in the USA. Descriptive statistics were calculated and data were analysed by gender, role, institution type and class size.ResultsRespondents included 241 voting members of promotions committees at 55 medical schools. Respondents endorsed various promotions committee roles, including acting in the best interest of learners' future patients and graduating highly qualified learners. Implementing policy was assigned lower importance. The overall pattern of responses did not indicate a predominant orientation toward an ethic of justice or care. Respondents indicated that committees have discretion to take individual student characteristics into consideration during deliberations, and that they do so in practice. Among the student characteristics with the greatest influence on decision making, professionalism and academic performance were paramount. Eighty-five per cent of participants indicated that they received no training.ConclusionsPromotions committee members do not regard orientations of justice and care as being mutually exclusive and endorse an array of statements regarding the committee's purpose that may conflict with one another. The considerable variance in the influence of student characteristics and the general absence of committee member training indicate a need for clear delineation of the medical profession's priorities in terms of justice and care, and of the specific student characteristics that should factor into deliberations.

Dataset Information

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

Publications

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets