The pharmaceutical world offers a valuable blueprint on how to harness AI’s efficiency while protecting trust, ethics and above all, people.
Winners include organizations using trusted data for AI-powered climate risk assessment, advancing sustainability reporting, and giving underserved communities access to vital services "Trusted data ...
“The market for licensing AI training data is growing rapidly,” it said. “Licensing deals to use copyrighted works as training data between AI developers and publishers are regularly in the news.
AI models like OpenAI’s ChatGPT and Google’s Gemini have run out of training data, according to Goldman Sachs’ data chief. Neema Raphael, who serves as the banking giant’s chief data officer and head ...
Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...
"How to invest for rising data-integrity risk..." What does that even mean? If you're reading this story, you're probably an investor. And, if you're an investor, you're probably well aware of the ...
When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and complex and opaque model workflows; or, they don’t know when enough training ...
Chief Executive Officer, Mr. Jide Ogunleye, emphasised the urgency for organisations to register with NDPC as either Data Controllers or Data Processors, and to begin preparing for their Compliance ...
A man recovering from heart surgery at home is shocked when he finds out his insurance has denied coverage for a critical part of his hospital stay. When he looks into what happened, he finds a ...
Meaghan Kent, an intellectual property partner at Venable LLP, discusses recent court rulings on whether artificial intelligence training models are free to draw on copyrighted content. There’s a ...
Affiliate Bruce Schneier and coauthor Davi Ottenheimer argue that the emergence of AI agents in the (near) Web 3.0 future necessitates data integrity, in the sense that users should understand why ...
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