A growing number of real-world researchers and companies are developing tools designed for exactly this task. And, despite what you might initially fear, the results are really promising.

A series of studies at Cornell investigate how humans behave in the company of robots. The article highlights its findings.

In this Q&A with former Facebook employee Kaya Thomas, she discusses what it’s been like to work as a Black woman in tech in her internships and what top companies should be doing to attract minority candidates like her.

Following a dispute over several emails and a research paper on Wednesday, AI ethics pioneer and research scientist Timnit Gebru no longer works at Google.

Gebru, a widely respected leader in AI ethics research, is known for coauthoring a groundbreaking paper that showed facial recognition to be less accurate at identifying women and people of color, which means its use can end up discriminating against them.

Timnit Gebru says a manager asked her to either retract or remove her name from a research paper she had coauthored, because an internal review had found the contents objectionable. The contents were about bias in AI.

Timnit Gebru, one of Google’s top artificial intelligence researchers, says the company abruptly fired her. The technical co-lead of Google’s Ethical Artificial Intelligence Team claims managers were upset about an email she’d sent to colleagues.

More than a dozen companies offer artificial-intelligence programs that promise to identify a person’s race, but researchers and even some vendors worry it will fuel discrimination

The article argues that are living in a world that has been designed for men because for the most part, we haven’t been collecting data on women. It highlights why this is and why it is problematic.

Researchers at Stanford University and UC Berkeley found that risk assessment tools, driven by algorithms, can provide accurate support for the decision process.