Abstract The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a
profound socio-technical transformation. Governments and AI scholarship have endorsed …

As firms are moving towards data-driven decision making, they are facing an emerging
problem, namely, algorithmic bias. Accordingly, algorithmic systems can yield socially …

External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

Purpose Gender bias in artificial intelligence (AI) should be solved as a priority before AI
algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem …

Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI)
algorithms present promising solutions to a variety of technological and non-technological …

We employ an audit design to investigate biases in state-of-the-art large language models,
including GPT-4. In our study, we prompt the models for advice involving a named individual …

Autism spectrum disorder (ASD) is a developmental disability that can cause significant
social, communication, and behavioral challenges. Early intervention for children with ASD …

The authors present the design and implementation of an exploratory virtual learning
environment that assists children with autism (ASD) in learning science, technology …

Machine learning (ML) has become increasingly prevalent in various domains. However, ML
algorithms sometimes give unfair outcomes and discrimination against certain groups …

Generated texts from large pretrained language models have been shown to exhibit a
variety of harmful, human-like biases about various demographics. These findings prompted …