When orgs share proprietary data with their AI-powered vendors, the risk for legal scrutiny soars, this expert says.

When recognizing faces and emotions, artificial intelligence (AI) can be biased, like classifying white people as happier than people from other racial backgrounds. This happens because the data used ...

There's been a lot of talk lately about bias, especially in relation to artificial intelligence. We're told, almost like a warning label, that humans are inherently biased and that this is something ...

Bias in AI isn’t just baked into the training data; it’s shaped by us and embedded in the broader ecosystem of human-AI interaction. This cognitive bias emerges from the dynamic interplay between ...

AI should be a dream for any chief data officer, but before you can embrace the full creative effectiveness and efficiencies of AI, there’s a problem afflicting its ability to produce strong ideas ...

As AI rapidly scales, humans are left at an ideological impasse on managing this new technology. Either choose to allow governments and companies to dominate how AI is trained and used to create ...

For centuries, systemic bias has shaped how Americans live, work and are governed. It influences who receives quality health care, which neighborhoods are over-policed and whose concerns make it into ...

What happens when artificial intelligence stops being a tool and starts becoming a mirror for its creator’s ego? Grok, the AI chatbot developed under Elon Musk’s leadership, seems to have crossed that ...

Many healthcare leaders have already gained experience from several AI pilots. Here’s where they stand on the technology ...

Please provide your email address to receive an email when new articles are posted on . Bias can creep into AI models unintentionally during development and training. AI models should be continuously ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

As Artificial Intelligence reshapes the academic landscape, faculty find themselves increasingly divided, torn between embracing its potential and resisting its perceived threats to pedagogy, ethics, ...