The workforce that develops artificial intelligence products is in "a diversity crisis," says a new report. As a result, algorithms behind the technology are usually biased themselves. According to Discriminating Systems, a report from NYU's AI Now Institute, the employees of companies building AI solutions are, as in most of the technology sector, largely male and white. At Google, for example, women comprise just 10 percent of the AI research staff while the company's overall workforce is just 2.5 percent black. Facebook and Microsoft don't do much better: 4 percent of their employees are black, the report said.

CareerBuilder acquired Textkernel, an Amsterdam-based company focused on AI, machine learning and semantic technology designed for matching candidates to jobs. The company said the purchase was part of a wider investment in AI and machine learning. However, the company will also apply its new tools to candidate-facing products. Careerbuilder said Textkernel's capabilities will also help candidates quickly build personalized mobile resumes, suggest more relevant jobs based on their skills and experience and uncover patterns to help job seekers prepare for their next role. The acquisition also strengthens CareerBuilder's data science team by connecting more than 200 data scientists, engineers and AI specialists to work on its Hello To Hire process.

In this guest column, Adam Rogers, chief technology officer of Ultimate Software, describes where he believes AI and machine learning will lead HCM technology. Despite the intrinsic contradiction, it's clear that artificial intelligence and machine learning are primed to play a leading role in the future of human capital management. As CTO of a software company that offers AI-driven HCM solutions across a variety of industries, I've had the opportunity to witness this growing impact first-hand and think about where these technologies will take us moving forward. Recent advancements have already eliminated tedious payroll tasks, improved employee productivity and streamlined processes. But as technology continues to evolve at a breakneck pace, emerging systems are looking to revolutionize how organizations make hiring, firing and compensation decisions.