Bridging the Gap Between Industry and Academia
This post will discuss the gap between industry and academia. Specifically, with reference to the report, the article outlines how […]
This post will discuss the gap between industry and academia. Specifically, with reference to the report, the article outlines how […]
As a brief description, machine learning is a subset of artificial intelligence (‘AI’) which learns like a human does; through […]
Computing hardware enables the training, testing, and use of AI systems. This hardware ranges from sensors, networks and memory, to […]
On 21 April 2021, the European Commission proposed for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence […]
The previous article summarised how institutions can employ a ground-up approach to improve the credibility of AI. This post will […]
The report, Toward Trustworthy AI development: Mechanisms for Supporting Verifiable Claims attempts to break down the mechanisms which aim to […]
The current mechanisms implemented to support Artificial Intelligence (‘AI’) are insufficient to ensure responsible and trustworthy AI. Such that safeguards […]
As a result of growing public concern regarding the credibility and trustworthiness of Artificial Intelligence (‘AI’), a group of researchers […]