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This open access book explains why, in today's economy, companies
need to implement artificial intelligence (AI) in a responsible and
ethical way and how they can go about doing so. Business use of AI
can produce tremendous insights and benefits. But it can also
invade privacy, perpetuate bias, and produce other harms that
injure people and damage business reputation. The authors
interviewed and surveyed AI ethics managers at leading companies.
They asked why these experts see AI ethics as important, and how
they seek to achieve it. This book conveys the results of that
research on a concise, accessible way that readers should be able
to apply to their own organizations. Much of the existing writing
on AI ethics focuses either on macro-level AI ethics principles, or
on micro-level product design and tooling. The interviews showed
that companies need a third component: AI ethics management. This
third component consists of the management structures, processes,
training and substantive benchmarks that companies use to
operationalize their high-level AI ethics principles and to guide
and hold accountable their developers. AI ethics management
is the connective tissue that makes AI ethics principles real. It
is the focus of this book. This book provides a “snapshot” of
AI ethics management at an array of highly sophisticated,
AI-enabled companies. Other organizations, at an earlier stage in
their AI journeys, should be able to draw from it useful lessons on
how they, too, can pursue ethical and responsible AI and so succeed
in the AI-driven economy.
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