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
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Various types of risks involved in developing and using AI solutions
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How to identify, evaluate, and quantify risks pragmatically
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How AI insurance can be utilized to support residual risk management
This book is for:
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Progressive businesses that are on a journey to use AI (buyers/customers)
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Technical and financial leaders in AI solution companies (solution vendors)
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AI system integrators (intermediaries)
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Project and technology leads of AI deployment projects
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Technology purchase decision-makers, CXOs and legal officers (solution users).
