We’re only in the beginning stages of rooting out bias in tech, so awareness is key.

But while it’s easy to blame tech for bias, bias ultimately comes from poor data provided by a human. Some factors may be out of your control when it comes to human-placed bias, but there are steps you can...

To prevent bias from seeping into tech decisions, every employee should be educated on equitable and anti-bias practices—especially if your company writes algorithms for any of its products. Make this training standard to ensure it’s part of your organization’s operational fabric. Also, apply ant...

Consider differences in culture, language and disability when deciding on a tech solution because human bias exists in these areas as well.

For example, Zoom is addressing language and disability by adding closed captioning with live translation to their calls, allowing non-English spe...

Tech giants like Google and Apple have committed to sweepin...

Make the transparent evaluation of data a priority for the partner companies and vendors you work with. Look for organizations with formal and proven processes that evaluate data for bias and regularly publish these findings. 

Public companies, like Amazon, Apple, and Microsoft, are require...