Fairness as a Determinant of AI Adoption in Recruiting: An Interview-based Study

Traditional recruiting techniques are often characterized by discrimination as human recruiters make biased decisions. To increase fairness in human resource management (HRM), organizations are increasingly adopting AI-based methods. Especially recruiting processes are restructured in order to find promising talents for vacant job positions. However, use of AI in recruiting is a two-edged sword as the neutrality of AI-based decisions highly depends on the quality of the underlying data. In this research-in-progress, we develop a research model explaining AI adoption in recruiting by defining and considering fairness as a determinant. Based on 21 semi-structured interviews we identified dimensions of perceived fairness (diversity, ethics, discrimination and bias, explainable AI) thereby affecting AI adoption. The proposed model addresses research gaps in AI recruiting research in general and arising ethical questions concerning the use of AI in people management in general and recruiting process in particular. We also discuss implications for further research and next steps of this research in progress work

Personality representation: predicting behaviour for personalised learning support

The need for personalised support systems comes from the growing number of students that are being supported within institutions with shrinking resources. Over the last decade the use of computers and the Internet within education has become more predominant. This opens up a range of possibilities in regard to spreading that resource further and more effectively. Previous attempts to create automated systems such as intelligent tutoring systems and learning companions have been criticised for being pedagogically ineffective and relying on large knowledge sources which restrict their domain of application. More recent work on adaptive hypermedia has resolved some of these issues but has been criticised for the lack of support scope, focusing on learning paths and alternative content presentation. The student model used within these systems is also of limited scope and often based on learning history or learning styles.This research examines the potential of using a personality theory as the basis for a personalisation mechanism within an educational support system. The automated support system is designed to utilise a personality based profile to predict student behaviour. This prediction is then used to select the most appropriate feedback from a selection of reflective hints for students performing lab based programming activities. The rationale for the use of personality is simply that this is the concept psychologists use for identifying individual differences and similarities which are expressed in everyday behaviour. Therefore the research has investigated how these characteristics can be modelled in order to provide a fundamental understanding of the student user and thus be able to provide tailored support. As personality is used to describe individuals across many situations and behaviours, the use of such at the core of a personalisation mechanism may overcome the issues of scope experienced by previous methods.This research poses the following question: can a representation of personality be used to predict behaviour within a software system, in such a way, as to be able to personalise support?Putting forward the central claim that it is feasible to capture and represent personality within a software system for the purpose of personalising services.The research uses a mixed methods approach including a number and combination of quantitative and qualitative methods for both investigation and determining the feasibility of this approach.The main contribution of the thesis has been the development of a set of profiling models from psychological theories, which account for both individual differences and group similarities, as a means of personalising services. These are then applied to the development of a prototype system which utilises a personality based profile. The evidence from the evaluation of the developed prototype system has demonstrated an ability to predict student behaviour with limited success and personalise support.The limitations of the evaluation study and implementation difficulties suggest that the approach taken in this research is not feasible. Further research and exploration is required –particularly in the application to a subject area outside that of programming

Relação entre personalidade, factores motivacionais no trabalho e políticas de RH: estudo de caso

O presente estudo de investigação tem como objectivo explorar a existência de uma relação causal entre as políticas de recursos e a motivação nos colaboradores, cujos comportamentos são motivados por factores diferentes, dadas as suas características de personalidade. Pretende-se desta forma investigar o impacto que as políticas de recursos humanos poderão ter na motivação dos colaboradores com características de personalidade particulares assim como indagar de que forma as políticas de recursos humanas são desenhadas tendo em conta as características de personalidade dos colaboradores e as funções que desempenham. Como metodologia de investigação utilizaremos o estudo de caso e como instrumentos de recolha de dados/informações faremos uso de dois questionários, um a aplicar aos gestores de recursos humanos/de equipas e outro aos colaboradores; ABSTRACT: The goal of the present research study is to explore a causal relationship between human resources politics and the specific factors of employer’s motivation, derivatives of a particular personality. We pretend to research the impact of that politics on employers that have particulars tasks/jobs functions and personality characteristics. The used methodology is the case study and the used instruments are a open questions questioner to managers and a closed question questioner to other employers. The first questioner search for the human resources politics and values, and the second questioner look for the perception of employers about that politics

Surveys and analyses of professional engineering competencies for education fit for the future

芝浦工業大学2021年年