Abstract Recent developments in Artificial Intelligence (AI) have generated great
expectations for the future impact of AI in education and learning (AIED). Often these …

Artificial intelligence (AI)-powered service innovation (eg, OpenAI's ChatGPT, Google's Bard
and Microsoft's Sydney) has become one of the most significant determinants of firms' …

ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is
often defined too imprecisely because its multifaceted nature and the sociotechnical …

Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …

In this review, we address the issue of fairness in the clinical integration of artificial
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …

This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

The increasing implementation of and reliance on machine-learning (ML) algorithms to
perform tasks, deliver services and make decisions in health and healthcare have made the …

Purpose Following the surge of documents laying out organizations' ethical principles for
their use of artificial intelligence (AI), there is a growing demand for translating ethical …