Blindly trusting anything is always a mistake but even more so when human resources (HR) relies too much on artificial intelligence (AI) to hire people. With the global explosion of AI, I decided to find out how organizations can address hiring bias while making the most of the latest HR technologies. Michele Bezzi, manager at SAP Security Research, leads a team that studies security challenges in AI. Bezzi stressed that privacy, fairness, and bias were three major facets of their research. Those areas are also reflected in the the company's guiding principles for AI.

We have all heard of "automated" support features, but as artificial intelligence (AI) has continued to advance, the support landscape is shifting to focus on the possibility of "autonomous" support. What exactly is the difference? Here, Jens Trotzky, head of Artificial Intelligence Technology for SAP Support, discusses the role of AI in the development of autonomous support, and how SAP innovation is helping to make it a reality. A: Most customer support resources available today – even some of the most sophisticated – are considered automated in some capacity. In a nutshell, automated support is predictive technology that is pre-scripted by support engineers based on a fixed set of standards and defining factors.