Automated decision making is basically when computers make choices on their own, using data and rules instead of a person.

Knowing when to try something new versus stick with what you’re doing is tricky. Decision scientists have advice.

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

The increasing use of AI in GST is leading to automated mismatch alerts and notices based on flawed data. The key takeaway is that reliance on inaccurate systems can result in unjust tax demands for ...

As PCMag's resident data journalist, I practically live in Microsoft Excel. I've learned that it's capable of far more than I ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to ...

This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also ...

Logical fallacies shaping AI governance debatesRhetorical devices distort tech policy and public trustBias in AI systems ...

Former Tesla President Jon McNeill discusses his new book, The Algorithm: The Hypergrowth Formula That Transformed Tesla, ...

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.