The AI rush is repeating a well-known mistake. Early in my profession, a threat govt I labored with used to say, “You didn’t invite me to drink the beer; now you need me to pay the invoice?” every time issues got here up as a result of a venture moved forward with out sufficient oversight. If somebody tried to keep away from explaining the main points, he’d add, “I don’t know should you’re displaying me the monster’s head or simply its toe.”
Since 2011, I’ve watched new merchandise, enterprise companies and improvements launch with out sufficient security or threat checks. Cloud computing, huge information, BYOD, APIs, IoT, social media and low-code are only a few examples. We normally innovate first and fear about governance later.
AI is following the identical sample. Leaders in lots of industries are enthusiastic about AI, identical to they have been with earlier applied sciences. However many nonetheless don’t have a transparent solution to observe the place AI is used, who owns the dangers or how automated selections may have an effect on the enterprise.
