Keeping Your AI Under Control

Much of our daily lives intertwine with artificial intelligence. From watching movies recommended by our entertainment streaming service, to interacting with customer service chatbots, to autotagging photos of friends in our social media apps, AI plays an invisible part in enriching our lives. While AI may be seen as a panacea for enterprise advancement and consumer convenience, it is still an emerging technology, and its explosive growth needs to be approached with proper care and preparation. How do we tackle the challenges it presents, and how do we make sure that it does precisely what it is supposed to do?

In Keeping Your AI Under Control , author Anand Tamboli explores the inherent risk factors of the widespread implementation of artificial intelligence. The author delves into several real-life case studies of AI gone wrong, including Microsoft's 2016 chatbot disaster, Uber's autonomous vehicle fatally wounding a pedestrian, and an entire smart home inGermany dangerously malfunctioning because of one bad lightbulb. He expertly addresses the need to challenge our current assumptions about the infallibility of technology.

The importance of data governance, rigorous testing before roll-out, a chain of human accountability, ethics, and much more are all detailed in Keeping Your AI Under Control . Artificial intelligence will not solve all of our problems for good, but it can (and will) present us with new solutions. These solutions can only be achieved with proper planning, continued maintenance, and above all, a foundation of attuned human supervision.

What You Will Learn

• Understand various types of risks involved in developing and using AI solutions
• Identify, evaluate, and quantify risks pragmatically

• Utilize AI insurance to support residual risk management
  Who This Book Is For
  Progressive businesses that are on a journey to use AI (buyers/customers), technical and financial leaders in AI solution companies (solution vendors), AI system integrators (intermediaries), project and technology leads of AI deployment projects, technology purchase decision makers, CXOs and legal officers (solution users).

  Learn from a pragmatic and usable risk evaluation framework Study a brand-new concept of AI insurance with actionable steps Examine the process through which you can quantitative score AI vendors to indicate their solution's suitability Discover risk evaluation and mitigation approaches that are scalable for various industries

  Autorentext

Anand Tamboli helps businesses and professionals in leveraging emerging technologies wisely in the ever-changing landscape of disruption.

As a professional speaker, he educates the audience on topics of future technologies, disruption, innovation, adaptability, and other contemporary matters. As a futurist with a unique perspective, he can often shed new light on a topic which an industry has "done to death".

Being a prolific writer, Anand has authored several articles to date. Anand is also the author of Build Your Own IoT Platform (Apress, 2019), an award-winning book on the Internet of Things.

When he is not speaking at conferences, you will find him helping professionals in their endeavors, mentoring, and facilitating startups. For a large part of his career, Anand has worked in the manufacturing industry, where he designed, developed, used, and applied (and at times rejected) technical solutions. Besides manufacturing, Anand also hasdirect experience in education, engineering, pharmaceutical, telecommunications, IT and ITES, banking, insurance, and other industries. This cross-domain and multi-industry experience enables him to see things with a uniquely different lens.

Anand is a full spectrum thinker and believes, "Technology is not a panacea-it takes the right combination of people, process, technology, and timing to achieve the best results." Anand is also an intense spiritual seeker; he talks deeply, writes boldly, and mentors empathetically.

Reach him at anandtamboli.com.

Inhalt

Part 1: Future State of AI.- Chapter 1: Artificial Intelligence Beyond 2020.- Chapter 2: Learning Lessons from Past Fiascoes. - Chapter 3: Understanding AI Risks and Its Impacts.- Part 2: Prevention.- Chapter 4: Evaluating Risks of the AI Solution.- Chapter 5: De-risking AI Solution Deployment.- Chapter 6: Good AI in the Hands of Bad Users.- Chapter 7: A Systematic Approach to Risk Mitigation.- Chapter 8: Teach Meticulously and Test Rigorously.- Part 3: Mitigation.- Chapter 9: AI Supervision with a Red Team.- Chapter 10: Handling Residual Risks.- Chapter 11: When Working with AI.- Appendix: The Leash System.-