Keeping Your AI Under Control - Anand Tamboli

Keeping Your AI Under Control (eBook)

A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks

(Autor)

eBook Download: PDF
2019 | 1st ed.
XV, 129 Seiten
Apress (Verlag)
978-1-4842-5467-7 (ISBN)
Systemvoraussetzungen
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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 in Germany 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).


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 has direct 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.


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 LearnUnderstand various types of risks involved in developing and using AI solutionsIdentify, evaluate, and quantify risks pragmatically Utilize AI insurance to support residual risk managementWho This Book Is ForProgressive 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).
Erscheint lt. Verlag 9.11.2019
Zusatzinfo XV, 129 p. 3 illus.
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte AI ethics • AI risk • AI testing • Artificial Intelligence • Business Process Reengineering • Emerging Technologies • indemnity • insurance • Liability • machine learning
ISBN-10 1-4842-5467-8 / 1484254678
ISBN-13 978-1-4842-5467-7 / 9781484254677
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