AI fairness in data management and analytics: A review on challenges, methodologies and applications
P Chen, L Wu, L Wang - Applied Sciences, 2023 - mdpi.com
This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …
(AI) systems, delving into its background, definition, and development process. The article …
Minding the source: toward an integrative theory of human–machine communication
EJ Lee - Human Communication Research, 2024 - academic.oup.com
According to the computers are social actors (CASA) paradigm, a dominant theoretical
framework for research on human–computer interaction, people treat computers as if they …
framework for research on human–computer interaction, people treat computers as if they …
[HTML][HTML] Advancing algorithmic bias management capabilities in AI-driven marketing analytics research
S Akter, S Sultana, M Mariani, SF Wamba… - Industrial Marketing …, 2023 - Elsevier
Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …
marketing programs, and marketing strategies in industrial markets. However, algorithms …
Resistance to artificial intelligence in health care: literature review, conceptual framework, and research agenda
Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …
information systems, including healthcare information technology. However, artificial …
AiZynth impact on medicinal chemistry practice at AstraZeneca
JD Shields, R Howells, G Lamont, Y Leilei… - RSC Medicinal …, 2024 - pubs.rsc.org
AstraZeneca chemists have been using the AI retrosynthesis tool AiZynth for three years. In
this article, we present seven examples of how medicinal chemists using AiZynth positively …
this article, we present seven examples of how medicinal chemists using AiZynth positively …
The rise of artificial intelligence in educational measurement: Opportunities and ethical challenges
O Bulut, M Beiting-Parrish, JM Casabianca… - arXiv preprint arXiv …, 2024 - arxiv.org
The integration of artificial intelligence (AI) in educational measurement has revolutionized
assessment methods, enabling automated scoring, rapid content analysis, and personalized …
assessment methods, enabling automated scoring, rapid content analysis, and personalized …
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
Despite the rise of decision support systems enabled by artificial intelligence (AI) in
personnel selection, their impact on decision-making processes is largely unknown …
personnel selection, their impact on decision-making processes is largely unknown …
Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment
As misinformation increasingly proliferates on social media platforms, it has become crucial
to explore how to best convey automated news credibility assessments to end-users, and …
to explore how to best convey automated news credibility assessments to end-users, and …
Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act
J Laux - AI & SOCIETY, 2023 - Springer
Human oversight has become a key mechanism for the governance of artificial intelligence
(“AI”). Human overseers are supposed to increase the accuracy and safety of AI systems …
(“AI”). Human overseers are supposed to increase the accuracy and safety of AI systems …
AI as an apolitical referee: Using alternative sources to decrease partisan biases in the processing of fact-checking messages
While fact-checking has received much attention as a tool to fight misinformation online, fact-
checking efforts have yielded limited success in combating political misinformation due to …
checking efforts have yielded limited success in combating political misinformation due to …