A new National Association of Mutual Insurance Companies (NAMIC) report warns that myths could be influencing regulations on ...

Traditionally, manufacturing relied on preventive training, manual hazard identification, and reactive maintenance to ensure ...

If the data is inaccurate or incomplete, the AI’s performance will suffer. Data quality is crucial in artificial intelligence because it directly impacts AI models’ performance, accuracy, and ...

In misapplication failures, AI is simply the wrong tool for the job. One stark example is Hackney Council’s failed attempt to ...

Issues such as data quality, bias, transparency ... garbage out” (GIGO), a concept familiar to computer users for generations, is just as applicable to AI. If an AI model is of poor quality ...

While tools like ChatGPT have demonstrated AI’s rapid adoption, they have also underscored the pressing need for responsible ...

It's time for papal predictions, but prediction markets and AI models aren't landing on the same name. Who's accurately ...

The typical college general education curriculum, fractured into discipline-based silos, often fails to engage students with the profound questions and pressing controversies that shape human life and ...

Artificial Intelligence (AI) is no longer a distant concept discussed only in research papers or at industry conferences. It has quietly integrated into daily routines, powering tasks as simple as ...

He cited the concept of data drift, where changes to data, while accurate, could potentially skew AI model outputs ... The data was correct, but the algorithm hadn’t adjusted for the data.

And – even worse – bias ... Proof of concept pilots are slippery things. We know that they’re happening, but we don’t know all the tools involved, how many populations they are being tested on or in ...