Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Have you ever seen the YouTube video of the young boy at Christmas unwrapping a Nintendo 64 and completely freaking out with excitement? And that kid was me! My peak experiences as a kid always coincided with groundbreaking technology launches.

Top South African data scientists are solving critical challenges in society and making their mark on the global industry. From deliveries to cyber security, advanced analytics is driving change; but it's the leading thinkers behind these solutions that are really impressive. If you've ordered a delivery from South Africa's largest on-demand grocery delivery service, the driver's route was optimised by a "travelling salesman" algorithm that Kimberly Taylor originally developed as a Wits engineering student. She has since built a company and an award-winning app around this innovation which helps logistics companies scale their delivery volume. Multi-stop route optimisation is critical for perishable deliveries and through Taylor's solution, data science is helping on-demand delivery companies in the Quick Service Restaurant and grocery space keep their promise of 30 60 minutes.

In 2004, when a "webcam" was relatively unheard-of tech, Mark Newman knew that it would be the future of hiring. One of the first things the 20-year old did, after getting his degree in international business, was to co-found HireVue, a company offering a digital interviewing platform. While Newman lived at his parents' house, in Salt Lake City, the company, in its first five years, made just $100,000 in revenue. HireVue later received some outside capital, expanded and, in 2012, boasted some 200 clients--including Nike, Starbucks, and Walmart--which would pay HireVue, depending on project volume, between $5,000 and $1 million. Recently, HireVue, which was bought earlier this year by the Carlyle Group, has become the source of some alarm, or at least trepidation, for its foray into the application of artificial intelligence in the hiring process. No longer does the company merely offer clients an "asynchronous" interviewing service, a way for hiring managers to screen thousands of applicants quickly by reviewing their video interview --HireVue can now give companies the option of letting machine-learning algorithms choose the "best" candidates for them, based on, among other things, applicants' tone, facial expressions, and sentence construction.

Because AI learns from the data sets that it is given, there is always a risk of bias setting in. Bias in these data sets is likely to perpetuate the lack of diversity in global workplaces. In this article, we turn the spotlight on the issue of AI bias in HR, with exclusive insights shared by experts from ADP, AVTAR Group, Plum, Job.com, and HireVue. Your HCM System controls the trinity of talent acquisition, management and optimization - and ultimately, multiple mission-critical performance outcomes. Alongside the rise of artificial intelligence (AI) in different sectors, questions around the possibility of bias have also increased.

It was a striking story. "Machine Bias," the headline read, and the teaser proclaimed: "There's software used across the country to predict future criminals. And it's biased against blacks." ProPublica, a Pulitzer Prize–winning nonprofit news organization, had analyzed risk assessment software known as COMPAS. It is being used to forecast which criminals are most likely to reoffend.

It's increasingly unremarkable for consumers to use artificial intelligence tools in their daily lives. Machine learning algorithms power your smart assistants, organize your vacation photos, and even analyze your health data. But human beings pick up the slack for those automated technologies more often than you might realize. And that means that real people can sometimes access user data that customers thought would only be seen by machines. In one particularly glaring case, that included detailed, potentially sensitive information culled from expense reports.

Healthcare inequalities are systemic and closely intertwined with social inequalities. In the US, black men and women can be expected to live a decade less than their white counterparts, and are also much more likely to die from heart disease, various types of cancer, and stroke. Rates of diabetes in Hispanic Americans are around 30% higher than in whites. Gay, lesbian, and bisexual adults are twice as likely to suffer with mental-health problems. Access to and quality of healthcare is similarly dismal when it comes to diversity, starkly cutting across racial, social, and economic divides.