When the video of George Floyd handcuffed on the ground with a white Minneapolis police officer’s knee on his neck went viral, public outrage included claims of systemic racism in many law enforcement agencies. Those claims didn’t start with Floyd’s death, and they don’t stop with police forces.
In the span of what feels like 2 seconds, we’ve gone from talking about how to recruit when unemployment is at a low not seen in decades to dealing with the possibility of mass layoffs.
We recently covered how artificial intelligence (AI) invites bias and what one developer is doing to stop it. The ethical issues AI raises, however, go far beyond bias-infused systems. A recent survey sought to understand the extent to which organizations that use AI systems take ethics of any kind into consideration. The results were less […]
Artificial intelligence (AI) tools have already entered the marketing space, and the HR space is no different. AI can sometimes be considered a bias-free tool. After all, computers deal with pure information. The problem is that these systems are loaded with human information, which is, of course, rife with often unintentional bias.
Biases are like noses: We all have them. They impact our personal and professional lives, and despite attempts at avoiding biased decisions, we’re often unaware of our own biases, as many are unconscious. This is particularly problematic during the hiring process.
According to research by The Center for Talent Innovation—a nonprofit think tank and thought leader in diversity and talent management—diverse companies are 70% more likely to capture new markets as they grow.
As an HR manager, you’ve almost certainly had to do a workplace investigation. Employee A makes a complaint, saying that employee B did such and such. You talk to employee B, and he or she says that no such thing happened or it happened very differently. How do you measure who is credible and who […]
The past few years have seen excellent strides toward diversity across organizations in the United States. However, many issues remain. For example, Amazon’s recruiting algorithm was taken offline last year because it was accidentally creating bias. And, while many organizations are aware of the need for diversity, some don’t seem equipped to act.
One of the first steps during a job hunt is to submit a résumé—with your name at the top in big, bold letters. While your work experience and education are the qualities you hope will stand out, there is still a possibility that hiring managers hold on to some biases and mentally rate candidates based […]
Researchers at Stanford University have recently found that despite a lack of gender differences in objective performance metrics (e.g., grades, fitness scores, or class standing) and decades of equal opportunity efforts, the language used to describe women hurts their advancement opportunities.