Recent trends in deep learning based personality detection

Y Mehta, N Majumder, A Gelbukh… - Artificial Intelligence …, 2020 - Springer
Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

Into the void: A conceptual model and research agenda for the design and use of asynchronous video interviews

ER Lukacik, JS Bourdage, N Roulin - Human Resource Management …, 2022 - Elsevier
Asynchronous video interviews (AVIs) are a form of one-way, technology-mediated,
selection interviewing that continue to grow in popularity. An AVI is a broad method that …

Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring processes

MF Gonzalez, W Liu, L Shirase, DL Tomczak… - Computers in Human …, 2022 - Elsevier
While many organizations' hiring practices now incorporate artificial intelligence (AI) and
machine learning (ML), research suggests that job applicants may react negatively toward …

[HTML][HTML] Integrating machine learning with human knowledge

C Deng, X Ji, C Rainey, J Zhang, W Lu - Iscience, 2020 - cell.com
Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …

From reality to world. A critical perspective on AI fairness

JM John-Mathews, D Cardon, C Balagué - Journal of Business Ethics, 2022 - Springer
Abstract Fairness of Artificial Intelligence (AI) decisions has become a big challenge for
governments, companies, and societies. We offer a theoretical contribution to consider AI …

Bottom-up and top-down: Predicting personality with psycholinguistic and language model features

Y Mehta, S Fatehi, A Kazameini… - … conference on data …, 2020 - ieeexplore.ieee.org
State-of-the-art personality prediction with text data mostly relies on bottom up, automated
feature generation as part of the deep learning process. More traditional models rely on …

A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arxiv preprint arxiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management

M Langer, CJ König - Human Resource Management Review, 2023 - Elsevier
Artificial Intelligence and algorithmic technologies support or even automate a large variety
of human resource management (HRM) activities. This affects a range of stakeholders with …

“Where's the IO?” Artificial intelligence and machine learning in talent management systems

MF Gonzalez, JF Capman, FL Oswald… - Personnel …, 2019 - scholarworks.bgsu.edu
Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by
organizations seeking to identify and hire high-quality job applicants. Yet the volume …

The impact of HRM digitalization on firm performance: investigating three‐way interactions

Y Zhou, G Liu, X Chang, L Wang - Asia Pacific Journal of …, 2021 - Wiley Online Library
In this study, drawing from adaptive structuration theory (AST) and embeddedness theory,
we investigate the relationship between the interaction of HRM digitalization and HRM …