A review on explainability in multimodal deep neural nets

G Joshi, R Walambe, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

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 …

Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT

MM Amin, E Cambria, BW Schuller - IEEE Intelligent Systems, 2023 - ieeexplore.ieee.org
ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …

Fairness and bias in algorithmic hiring: A multidisciplinary survey

A Fabris, N Baranowska, MJ Dennis, D Graus… - ACM Transactions on …, 2024 - dl.acm.org
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline.
Algorithmic fairness is especially applicable in this domain due to its high stakes and …

Learning person-specific cognition from facial reactions for automatic personality recognition

S Song, Z Shao, S Jaiswal, L Shen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …

Modeling, recognizing, and explaining apparent personality from videos

HJ Escalante, H Kaya, AA Salah… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Explainability and interpretability are two critical aspects of decision support systems.
Despite their importance, it is only recently that researchers are starting to explore these …

Psychology meets machine learning: Interdisciplinary perspectives on algorithmic job candidate screening

CCS Liem, M Langer, A Demetriou… - … interpretable models in …, 2018 - Springer
In a rapidly digitizing world, machine learning algorithms are increasingly employed in
scenarios that directly impact humans. This also is seen in job candidate screening. Data …

First impressions: A survey on vision-based apparent personality trait analysis

JCSJ Junior, Y Güçlütürk, M Pérez… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …

Personality recognition by modelling person-specific cognitive processes using graph representation

Z Shao, S Song, S Jaiswal, L Shen, M Valstar… - proceedings of the 29th …, 2021 - dl.acm.org
Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …

Can ChatGPT's responses boost traditional natural language processing?

MM Amin, E Cambria, BW Schuller - IEEE Intelligent Systems, 2023 - ieeexplore.ieee.org
The employment of foundation models is steadily expanding, especially with the launch of
ChatGPT and the release of other foundation models. These models have shown the …