Forbes contributors publish independent expert analyses and insights. I break down barriers so women can break through in tech. It matters who is in the room when technology decisions are being made.

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even ...

Twitter machine learning engineer Kyra Yee and user researcher Irene Font Peradejordi noted that the bias bounty challenge that took place in August was partially spurred by complaints from Twitter ...

Designer Talia Cotton wanted to create an unbiased logo, so she put an algorithm to work. But that raised all kinds of thorny questions about whether design can ever really be neutral. The practical ...

Gemma Galdon is a leading voice on tech ethics and algorithmic accountability. In our conversation, she explains the pitfalls of algorithms, the dangers of an “I’m just the tech guy” attitude, and how ...

Algorithms have become increasingly pervasive as organizations in both the public and private sectors have sought to automate tasks that once required human intelligence. From facial recognition to ...

Twitter has laid out plans for a bug bounty competition with a difference. This time around, instead of paying researchers who uncover security issues, Twitter will reward those who find as-yet ...

Twitter has announced its first algorithmic bias bounty challenge, offering cash prices ranging from $500 to $3,500 for those who can help the social media giant identify a range of issues. Rumman ...

It’s no secret that algorithms are incredibly problematic, leading to everything from racist policing to sexist hiring. But even for adults who are extremely online, it can be hard to understand what ...

Over the last few months, US and European regulators have signaled that they may start cracking down on one of the biggest ethical problems with artificial intelligence: the potential for algorithms ...

Our recent paper in Science showed that an algorithm widely used for population health management has significant racial bias. The scale of impact is large, affecting health care decisions for at ...