Business Analysis and AI

The AI systems we use are built on data. Data that are derived from the world we live in. As Business Analysts (BAs) working as trusted advisors towards a better world, our job is still the same in its core. We still work with people trying to understand needs and the best ways to satisfy them. However, with AI, a new dimension is added to this work: We must now also safeguard the way AI systems are trained and the way they produce outputs, so that these outputs are aligned with the better world we all strive for. For example, a new banking screening process should be fair to all. This was true before the advent of AI and it is still crucial in the AI era we live in. In both cases the advisor to the customer should pinpoint potential areas that could generate bias and eliminate them. The BA should work to clarify and establish the criteria used and how their application will result in better decisions. If in the past this was a set of COBOL programs in zOS or if in the future...