Synopsis

ESSENTIAL READING FOR EXECUTIVES

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Japanese

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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.

この本は以下から購入できます:

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断することは、人間の労働者にとっても必ずしも容易ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

組織がそれぞれ異なるように、導入するツールも異なります。課題は、適切な質問をし、その答えをどうするかを理解することです。信頼の概念を分解すると、AI のユースケースに潜在的に適用できるいくつかの中核的な側面が見つかります。信頼できる AI とは、公正かつ公平であること、堅牢かつ信頼性があること、プライバシーを尊重すること、安全かつセキュリティが確保されていること、責任と説明責任があること、透明性と説明可能性があることです。

信頼の側面の探求と倫理的 AI の開発と使用における主要な実践を組み合わせ、受賞歴のある著者であり、著名な AI エグゼクティブである Beena Ammanath が、エグゼクティブ、技術者、倫理学者などを対象に AI 倫理に関する実用的なガイドブックをお届けします。Trustworthy AI は、哲学的および理論的な議論を徹底的に検討し、AI の信頼における多くの要素、機会、落とし穴、倫理的 AI 戦略の構築方法を明確に示します。組織内で AI 倫理を運用化し、ビジネス ユニットと部門全体で倫理的 AI 計画を推進する方法を学びます。

組織内での倫理的な AI の設計と実装に関する洞察に満ちたリソースである「Trustworthy AI」は、取締役、経営幹部、ビジネス リーダー、そして責任ある、信頼できる、倫理的な方法で AI を使用してビジネスを変革する方法を模索しているすべての組織にとって必読の書です。

Buy this book from:

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.

この本は以下から購入できます:

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断することは、人間の労働者にとっても必ずしも容易ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

組織がそれぞれ異なるように、導入するツールも異なります。課題は、適切な質問をし、その答えをどうするかを理解することです。信頼の概念を分解すると、AI のユースケースに潜在的に適用できるいくつかの中核的な側面が見つかります。信頼できる AI とは、公正かつ公平であること、堅牢かつ信頼性があること、プライバシーを尊重すること、安全かつセキュリティが確保されていること、責任と説明責任があること、透明性と説明可能性があることです。

信頼の側面の探求と倫理的 AI の開発と使用における主要な実践を組み合わせ、受賞歴のある著者であり、著名な AI エグゼクティブである Beena Ammanath が、エグゼクティブ、技術者、倫理学者などを対象に AI 倫理に関する実用的なガイドブックをお届けします。Trustworthy AI は、哲学的および理論的な議論を徹底的に検討し、AI の信頼における多くの要素、機会、落とし穴、倫理的 AI 戦略の構築方法を明確に示します。組織内で AI 倫理を運用化し、ビジネス ユニットと部門全体で倫理的 AI 計画を推進する方法を学びます。

組織内での倫理的な AI の設計と実装に関する洞察に満ちたリソースである「Trustworthy AI」は、取締役、経営幹部、ビジネス リーダー、そして責任ある、信頼できる、倫理的な方法で AI を使用してビジネスを変革する方法を模索しているすべての組織にとって必読の書です。

© 2022 Trustworthy AI book. All Rights Reserved.

REVIEWS AND ACCLAIM

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. ..

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.

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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
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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…

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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…

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English
Japanese

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.

Read More

エグゼクティブ必読

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

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