Applicant Reactions to Artificial Intelligence Selection Systems

Artificial Intelligence Technique Selection

Selection fairness information and applicant reactions: a longitudinal field study.

Although laboratory studies have found that selection information can affect applicant perceptions, this has not been tested in the field. The authors followed 2 cohorts of police applicants (N = 274) in a longitudinal study to examine the relationship between information, applicant perceptions, and behavior (e.g., turnover). Information was related to perceived fairness measured at the time of...

Comparing Artificial Intelligence Systems for Stock Portfolio Selection

The goal of an artificial intelligence decision support system is to provide the human user with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is the investment domain – the goal of investment decision-making is to select an optimal portfolio that satisfies the investor’s objective, or, in other words, to ma...

Artificial-intelligence-augmented systems.

Today, AI is an established and widely recognized field in its own right, that traversed the research and teaching circles of universities and eventually entered the production centers of industries. The field of AI is considered to have been born at a 2-month workshop held in Dartmouth College, Hanover, NH, USA, in the summer of 1956. The workshop was organized by Marvin Minsky and John McCart...

Nanoscale artificial intelligence: creating artificial neural networks using autocatalytic reactions

A general methodology is proposed to engineer a system of interacting components (particles) which is able to self-regulate their concentrations in order to produce any prescribed output in response to a particular input. The methodology is based on the mathematical equivalence between artificial neurons in neural networks and species in autocatalytic reactions, and it specifies the relationshi...