The AI Accuracy Conundrum
Forbes Councils member Sriram Bhargav Madhav reports that accuracy tracking for AI fails in most organizations because it is treated as a one-time validation step before launch, and fixing it requires…
Forbes Councils member Sriram Bhargav Madhav reports that accuracy tracking for AI fails in most organizations because it is treated as a one-time validation step before launch, and fixing it requires…
Sainsbury's has paused the use of AI face scanning in one of its stores after a customer, Matt Arnold, 46, was wrongly identified as a shoplifter and ejected, an incident he described as 'humiliating'…
Anthony Spadaro, a Forbes Councils member, argues that developers of agentic AI systems in high-stakes industries should adopt safety principles from the nuclear industry, starting with defining what …
A new benchmark called DiG-bench, comprising 70 games designed to test AI systems' ability to discover hidden rules through interaction, shows that current frontier models struggle, with only Opus 5 a…
OpenAI President Greg Brockman dismissed concerns about recent leadership changes at the company in an exclusive interview with CNBC, stating that the transitions are part of a planned evolution and t…
William Bain, a Forbes Councils member, argues that AI models managing live systems must observe real-time data to proactively address issues, rather than merely reacting to past problems. He emphasiz…
Forbes Councils member Michael Nicosia argues that securing AI agents requires lessons from the cloud revolution, emphasizing that organizations must focus on the underlying infrastructure rather than…
The cost of cyber offense is collapsing as AI lowers the barrier to entry for attackers, according to Ido Geffen, a Forbes Councils member. Geffen warns that AI enables more sophisticated and frequent…
Forbes Councils member Komninos Chatzipapas advises businesses on selecting AI tools, emphasizing the need for adaptability, integration, and custom workflow building. The article highlights that the …
Forbes Councils member Filip Borcov argues that the rise of AI will lead to the end of microservices architecture, as large AI systems will likely fully absorb microservices over time. Borcov contends…
Forbes Councils member Tammy Hawes reports that agentic AI will transform healthcare operations by shifting from co-pilots to co-workers, redrawing the line between human decisions and system actions.…
Forbes Councils member David Schie argues that the real AI power problem lies not in data center electricity consumption but in the underutilized power capacity of existing hardware, noting that moder…
Alibaba launched a laptop-ready AI model and released the weights of its most powerful Qwen model, escalating its rivalry with Meta in open-weight AI. The new model is designed to run on laptops, and …
Forbes Councils member Tejas Manohar writes that AI could reduce friction in partnership execution, potentially enabling brands to collaborate directly across networks and ecosystems, creating a new '…
A Forbes analysis by Sarah Hernholm reports that college majors combining strong demand, transferable skills, and lasting career potential are considered safest in the age of AI, with fields like heal…
Forbes Councils member Neerav Vyas reports that AI agents are forcing marketers to rethink their technology stacks around real-time, composable data, with the key challenge being the 800-millisecond w…
Forbes Councils member Khadim Batti argues that AI should be a collaborator, not a crutch, to boost productivity without team burnout, emphasizing the need for leaders to integrate AI thoughtfully int…
Forbes Councils member Juan Carlos Santiago argues that AI systems, even when trained on pristine data, lack the human judgment needed to resolve conflicts and instead accelerate them, warning that or…
Axios reports that AI companies are increasingly using consumer data beyond the chat window, with OpenAI introducing an optional Computer History feature for ChatGPT and Google using uploaded photos a…
Researchers are developing modular add-ons for large language models that can trap and switch off malicious AI knowledge, aiming to enhance AI safety. The approach, detailed in new research, involves …