Table Of ContentTrustworthy AI
Trustworthy AI
A Business Guide
for Navigating Trust and
Ethics in AI
Beena Ammanath
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Contents
Foreword vii
Preface xi
Acknowledgments xv
Introduction 3
Chapter 1: A Primer on Modern AI 13
Chapter 2: Fair and Impartial 23
Chapter 3: Robust and Reliable 43
Chapter 4: Transparent 61
Chapter 5: Explainable 75
Chapter 6: Secure 93
Chapter 7: Safe 111
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vi Contents
Chapter 8: Privacy 127
Chapter 9: Accountable 147
Chapter 10: Responsible 161
Chapter 11: Trustworthy AI in Practice 175
Chapter 12: Looking Forward 187
Notes 191
Index 199
Foreword
T
here are two kinds of organizations. Those that are fueled
by artificial intelligence and those that will become
fueled by AI. Eventually, all organizations public and pri-
vate will be AI organizations. It is a twenty- first- century fact that
efficiency, agility, competitiveness, and growth hinge on the suc-
cessful use of AI. This is to the good, and the value is measured
in trillions of dollars.
The potential, however, comes with a caveat. We cannot cre-
ate world- changing solutions and use AI for all the beneficial
purposes we can imagine unless this technology rests on a firm
ethical foundation. What we do today to align AI function and
use with human values sets the trajectory for this transformative
technology for decades to come.
I have had wonderful opportunities to speak with government
and business leaders from countries around the world. Ques-
tions about AI ethics and trust are being debated in boardrooms,
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viii ForEW ord
business halls, legislative chambers, and the public square. What
I’ve learned is that, on the one hand, there is a growing aware-
ness of how ethics and trust affect the use of AI. on the other
hand, this awareness is causing some wariness about whether AI
should be used at all. This speaks to valid concern about the tech-
nical function and social impact of AI, but it also reveals a more
fundamental need on the part of organizations deploying AI.
People want to trust AI, if only they could.
The good news is we can get there, and it will take important
decisions and actions to set not just individual businesses but the
entire world on the path to trustworthy AI.
More and more, leaders are realizing that we, as a global
population, must act purposefully on AI ethics – and we must
do so now. If we do, we can minimize the risks, maximize trust
in the technology, and build toward the brightest future AI can
facilitate.
Some might speculate that prioritizing ethics and trust could
impede innovation at the moment when the power of AI is finally
brought to fruition. I submit that the reverse is true. The most
powerful and useful AI innovations are those that align with our
ethics and values. What we do not trust, we will not use. We need
to be able to trust cognitive tools to move forward with AI.
While the imperative is clear, the tactics and knowledge to
address trust are somewhat less so. What ethics are relevant
for AI use? What does it mean to trust a machine intelligence?
Where are the hurdles, the pitfalls, and the great opportunities
to build ethics into novel AI? The chorus of voices asking these
questions and others like them is growing louder, and the refrain
is the same: How do we get to a place where our AI tools are
simultaneously powerful, valuable, and trustworthy?
For better or worse, there is not just one answer to that ques-
tion. There are many possible answers. Every organization oper-
ates within a society, and communities, nations, and regions can
