Predictive analytics using IoT sensors and data analytics to monitor equipment condition in real time and predict potential failures before they occur is a popular industrial AI application. Another emerging example is leveraging AI in computer vision for employee safety.

The spread of generative AI has triggered familiar anxieties around automation and job displacement. In many organisations, these concerns appear as resistance to adoption, reluctance to experiment, or over-reliance on manual processes even where augmentation is possible.

Generative AI is no different in terms of bias propagation. Studies have found evidence for biased output based on race, sex, disability status, psychiatric diagnosis, and dialect. 1/3/4/5 This bias appears even when AI is not given explicit information about race or gender.

Soon gamers will be able to have AI agents play video games for them instead of having fun. Anthropic launched its new Claude Fable 5 AI model for general public use today, and included a timelapse video of it beating Pokémon FireRed. Take a look.

Generative AI makes stuff up. It can be biased. Sometimes it spits out toxic text. So can it be “safe”? Rick Caccia, the CEO of WitnessAI, believes it can. “Securing AI models is a real problem, and it’s one that’s especially shiny for AI ...

Apple's Spatial Reframing Is Generative AI I Can Get Behind as a Photographer

If internet chatter is to be believed, the intuitiveness and efficiency of predictive text and autocorrect have fallen off a cliff in recent years. But while researchers agree there has been a demonstrable decline in quality,