The industry's ability to establish effective governance hinges upon the ability to overcome the inherent challenges ...

Workshop aimed to explore the applications of AI in addressing key challenges across agriculture, animal husbandry, rural ...

Any AI governance team should include members with ... such as payments to vendors. Provide regular training for employees on company policies, compliance requirements, acceptable use of AI ...

MeitY’s AI governance guidelines have also paid special focus on the perils of training AI models on copyrighted data, which ...

As the industry evolves, proactive measures will be key to ensuring the responsible development and deployment of advanced ...

As Canadian companies expand their use of AI, they are potentially broadening their exposure to third-party risk.

Kenya seeks to strengthen data sovereignty and protect its citizens from data exploitation by foreign developers.

A recent commentary article by researchers from Northwestern University, Harvard University, and The University of Texas at ...

Techopedia sits down with Nitesh Bansal to discuss why 2025 is a big year for data curation — we cannot have good AI without it.

Learn how combining quantum computing and AI creates the cutting-edge field of quantum artificial intelligence. Discover the ...

Many can struggle to responsibly implement third-party and open-source models while trying to maintain performance, explainability and return on investment – particularly when the training data ...