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

Local VS. Global Models for Job-Candidate Matching

RÉSUMÉ: Avec le développement des technologies de l’information et la croissance continue du marché du recrutement électronique, l’automatisation du processus de sélection pour trouver le meilleur candidat pour un poste a suscité l’intérêt des chercheurs et des ingénieurs en logiciels ce qui a conduit au développement de modèles complexes, d’algorithmes et de techniques qui exploitent le traitement du langage naturel, la similitude sémantique et l’apprentissage automatique. Cette thèse vise à compléter ce travail, en se concentrant sur la façon d’exploiter les données existantes pour améliorer les performances. Nous évaluons la notion de modèles locaux qui sont des modèles personnalisés construits dans des sous-ensembles de données connexes ayant des caractéristiques similaires. Pour l’évaluation, nous la comparons avec les modèles globaux qui sont un modèle complexe unique sans classification préalable. Pour ce faire, nous avons travaillé avec Airudi, une société de ressources humaines Française Canadienne qui nous a fourni des données réelles que nous utilisons pour construire notre cas d’étude où nous répondons aux questions de recherche suivantes : RQ1. Comment les modèles globaux se comparent-ils en performance aux modèles locaux? RQ2. Comment la précision et le rappel fonctionnent-ils sur différents seuils?----------ABSTRACT : Selecting the best candidate for a job position is a challenging topic that has been gaining interest in research and practice. This has led to increasingly more complex models, algorithms and techniques exploiting natural language processing, semantic similarity, and machine learning. This thesis complements this work by taking a step back and focusing on how to better exploit available data in order to further improve model performance. In particular, we empirically evaluate the notion of using “local” models for subsets of the data having similar characteristics (job descriptions) as opposed to using a single, complex “Global Model.” Using job candidate and description data, we found that local models perform better than the global models in terms of precision and recall, with median improvements up to 11.64%. If we substitute the under-performing models with the global model, thus creating a hybrid local model, the difference becomes significant. Our results suggest that local models for job recommendation brings performance advantages in terms of precision and recall over a global model, motivating further research in local models for job recommendation

Arkansas Tech Writing, 15th Edition

This is the fifteenth edition of a text that was first published in 1989 as Assignments and Models for English 2053. Carl Brucker is a Professor of English in the Department of English and World Languages at Arkansas Tech University, where he has taught technical writing and American literature since 1984. This text includes assignments, examples, and images supplied by Tech professors and staff members.https://orc.library.atu.edu/atu_oer/1001/thumbnail.jp

Healthy Living and Other Electives

Healthy Living and Other Electives is an excerpt of a young adult novel that follows a sixteen-year-old boy, Del Rainey, as he pursues a romantic relationship with a member of his church’s Purity Pledge class. In addition to romance, Del also seeks a better understanding of manhood through interactions with his peers and father. Along the way, we discover how messily intertwined the church, school system, and lives of teenagers are in Del’s small Virginia town. The novel examines themes of religion, bureaucracy, and toxic masculinity

Introduction to Data Science

This book was developed for ICT/LIS 661: Introduction to Data Science, as offered in the University of Kentucky\u27s School of Information Science. It adapts and expands on openly licensed materials to introduce readers to basic statistical concepts, the R programming language, and philosophical critique of data science. This open access textbook was supported by the University of Kentucky Libraries Alternative Textbook programhttps://uknowledge.uky.edu/slis_textbooks/1000/thumbnail.jp

ENGL 2311 - Technical and Professional Writing - Language and Communication

This OER packet contains the course materials for ENGL 2311 - Technical and Professional Writing that introduce you to some of the most important aspects of writing in the worlds of science, technology, and business—in other words, the kind of writing that scientists, nurses, doctors, computer specialists, government officials, engineers, and other professionals do as a part of their regular work. The skills learned in technical writing courses can be useful in other fields as well, including education and social sciences. Technical writing involves communicating complex information to a specific audience who will use it to accomplish some goal or task in a manner that is accurate, useful, and clear. Whether you write an email to your professor or supervisor, develop a presentation or report, design a sales flyer, or create a webpage, you are a technical communicator.https://digitalcommons.pvamu.edu/pv-open-education-resources/1001/thumbnail.jp

Combating occupational apartheid plaguing internationally trained professionals: A mixed methods description of activist entrepreneurship in cross-sector partnerships

Individuals that were born in a foreign country, have a bachelor’s degree or higher from a foreign post-secondary education institution, and are not working at their full level of expertise, are referred to more concisely as “internationally trained professionals” (ITPs). Social workers have called becoming informed about immigrants’ integration needs a new frontier of social service and professional development. All fields of human services will benefit from any data resulting from descriptive exploration of the ITP integration issue. The bounded system that serves for this case study is the current limited response to the ITP issue seen in Virginia, USA. In the North of the state we see a mature, urban response by the local state-run community college and various community-based organizations. In the West we see an emergent, rural response by a community coalition of service providers and interested parties from all three sectors of society. Detailed in the case is the acting of leaders to address the marginalization of ITPs. Using the theoretical lens of activist entrepreneurship, the case illustrates the necessity that activist entrepreneurs feel in their work for marginalized peoples, the internal and external environmental opportunities that these leaders identify as facilitating their inner drive, and the broad social needs underpinning the opportunities and necessities. Both qualitative and quantitative data are used to describe Virginia’s response to the ITP issue. A threshold for service entry is established across three ITP variables. A snapshot of the impact of a coalition in its formation stage is explicated. Cross-sector partnerships are key tools in responding to the ITP issue. Several ideas for both quantitative and qualitative follow-up research are generated. Examining ITP variables for relationships and more fully describing the essence and process of activist entrepreneurship are among the proposals