In fact, the author could actually dig further and look at the potential losses an "AI-fied" solution could bring forth. 1. Unexplainable algorithms that canno

In fact, the author could actually dig further and look at the potential losses an "AI-fied" solution could bring forth. 1. Unexplainable algorithms that cannot demonstrate fairness and biased algorithms - causing firms to be dragged to court for discrimination - where AI was used for decision making which impacted lives/careers (lending, credit, recruitment, medical procedure suggestion, financial modeling etc - just to name a few) 2. Biased algorithms resulting in small tainted outputs that could later snowball into a larger loss that get built over slow leaks over time. (Few AI based cloud app/infra monitoring systems ending up deciding the wrong scaleout factor/sizing - based on past history but not considering real situational context/need - resulting in a net loss over a larger time) 3. Some AIfied solution just outright denying users the level of control that's really warranted. ("full automatic , no manual" mode). This mostly happens where the buyer never uses it firsthand but buys based on brochure/ppt walkthroughs, and real users are disconnected from the decision making ivory towers. The risk ibeing these systems getting into the way, instead of aiding productivity, they end up being another JIRA - a hassle one could really do without.