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Any hiring process comes with the potential for unconscious bias to play a role. Some companies have methods for combating such biases, with an emphasis on delaying the application of bias. In other words, by hiding a candidate’s identifying information until after the person has been considered, the recruiting manager has time to learn what’s […]
Artificial intelligence (AI) and advanced machinery have long stirred fears among workers that new technology could render them obsolete.
Often, what makes leaders and workplace cultures great is that they are warm and demanding. The best organizations function when their leaders, HR team, internal brand, and culture all match their external brand. Getting that balance right, however, can be challenging. I recently discussed the issue with an expert with many years in the field […]
There have always been gatekeepers in the job application process. Applicants might be afraid that a résumé screener sitting at a desk will discard their application because of an errant typo. Or, jobseekers in the first round of an interview with a company may feel like the HR recruiter just doesn’t seem to like them.
Innovations like self-driving vehicles, intelligent virtual assistants, and healthcare robots have fueled both anxiety and optimism about jobs and automation. But actual adoption in recent years hasn’t been the stuff of science fiction: Automation was primarily focused on simple computational tasks (such as credit scoring) and analysis of structured data.
Technology is often at the cutting edge of training and development efforts, from two perspectives. First, training is key to help employees learn how to best understand and leverage new technologies in their industries. Second, new technologies can provide improvements in the efficiency and quality of training efforts.
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.
The New England Patriots “have no succession plan for Tom Brady,” the headline said. “New England has no backup plan for a quarterback,” said the commentator.
If you answered your manager, you are in the minority! That’s right: Recent research found that 64% of respondents would trust a robot more than they trust their manager.