Synopsis

ESSENTIAL READING FOR EXECUTIVES

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Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy - even for human workers.

Trustworthy AI offers readers a pragmatic and direct approach to ethics and trust in artificial intelligence. The book presents a straightforward and structured way to think about AI ethics and offers practical guidelines for organizations developing or using AI solutions.

Just as every organization is different, so too are the tools they deploy. The task is to ask the right questions and understand what to do with the answers. When we break apart the concept of trust, we find several core dimensions, each with potential applicability to an AI use case. Trustworthy AI is: fair and impartial; robust and reliable; respectful of privacy; safe and secure; responsible and accountable; and transparent and explainable.

Combining an exploration of the dimensions of trust with leading practices in developing and using ethical AI, award-winning author, and celebrated AI executive Beena Ammanath delivers an actionable guidebook on AI ethics for executives, technologists, ethicists, and others. Trustworthy AI cuts through philosophical and theoretical discussions to provide clarity on the many factors in AI trust, the opportunities, and pitfalls, and how to structure an ethical AI strategy. Discover how to operationalize AI ethics within your organization and drive ethical AI planning across business units and departments.

An insightful resource for the design and implementation of ethical AI within an organization, Trustworthy AI is an essential read for board members, C-suite executives, business leaders, and all organizations looking for ways to transform their business with AI in a responsible, trustworthy and ethical way.

© 2022 Trustworthy AI book. All Rights Reserved.

REVIEWS AND ACCLAIM

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

DIMENSIONS OF TRUST IN AI

Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool.These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.

  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible
Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool. Rather, the dimensions of trust are lenses for interrogating AI design, function, and outcomes. With regular activities, decisions and documentation across the AI lifecycle, weighing and addressing the dimensions of trust is what permits effective AI governance and unleashes AI’s greatest potential value. These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.
  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible

AUTHOR BEENA AMMANATH

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute…

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute and leads Trustworthy AI and Ethical Technology at Deloitte. Prior to joining Deloitte, Beena served as the CTO for AI at Hewlett Packard Enterprise, where she created a new practice area focused on AI and emerging technologies. Before this, she was the head of Data Science and Innovation at General Electric, working across all GE businesses, including aviation, transportation, healthcare, power, energy and renewables, and oil and gas…

THE NEED FOR TRUSTWORTHY AI

There has arguably never been a more exciting time in AI. Alongside the arrival of so much promise and potential, however, more attention is due to the ethics and trustworthiness of this powerful technology. It is a question of not just what can be done with AI but how it should be done – or whether it should be done at all. Because AI has been developed to this level of maturity, we must now grapple with some of the more complex ethical considerations concerning AI.

What does it mean for AI use to be ethical? How do we know if we can trust the AI tools we use?

The trajectory of AI can be conceived along three streams: research, application, and trust and ethics. Research concerns data science…

ESSENTIAL READING FOR EXECUTIVES

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers…

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers.

Trustworthy AI offers readers a pragmatic and direct approach to ethics and trust in artificial intelligence. The book presents a straightforward and structured way to think about AI ethics and offers practical guidelines for organizations developing or using AI solutions.