Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric.
If AI is to drive the business success and social acceptance, it cannot hide in a black box. To have confidence in the outcomes, win user’s trust, and ultimately capitalize on the opportunities, it may be necessary to open up the black box or adopt a preemptive approach.
In Keeping Your AI on the Leash, author Anand Tamboli explains multiple risk factors and a proven method to evaluate them quantitatively. He also introduces a new concept of AI insurance to cover residual risks. How do you keep your AI in control and make sure that it does what it is supposed to do? This book covers that and more.
You will learn
Various types of risks involved in developing and using AI solutions
How to identify, evaluate, and quantify risks pragmatically
How AI insurance can be utilized to support residual risk management
