Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

Enterprise AI adoption has entered a more pragmatic phase. For technology leaders, the challenge is no longer convincing the organisation that AI has potential. It is ensuring that systems influencing ...

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...

NEW YORK--(BUSINESS WIRE)--Last week, leading experts from academia, industry and regulatory backgrounds gathered to discuss the legal and commercial implications of AI explainability. The industry ...

AI systems can analyze data and patterns at unprecedented scale and speed, with its use cases and sophistication growing exponentially. We’ve only scratched the surface of AI’s potential benefits for ...

Scalability has played an instrumental role in enhancing breakthroughs in the artificial intelligence field – think ChatGPT. Nevertheless, for valuable use cases to be realized, especially in ...

We study the role of AI transparency and explainability in shaping user trust, comprehension, and decision satisfaction. Our research evaluates how different forms of explanations—such as procedural ...

As the debate about regulating artificial intelligence applications heats up, much is being made of the need for transparency. “While all characteristics are socio-technical system attributes, ...