Resources

Resources

MAY 10, 2022

Rebels With a Purpose S1E16 Beena Ammanath

Beena Ammanath, Award-winning Author," Trustworthy AI," Executive Director of the Global Deloitte AI Institute...

May 4, 2022

Stop worrying about AI bias all the time, says Deloitte’s AI ethics lead

“You won't see many people with my background talking about ethics,”...

May 2, 2022

Startup City: Artificial intelligence is not as scary as it sounds

Technology is such an integral part of our everyday lives. It keeps us...

April 12, 2022

Can AI Can Finally Solve the Problem of Diversity?

Hosted by Andrew Keen, Keen On features conversations with some of the world’s leading thinkers and writers about the...

Who Is Accountable When AI Fails?

As the Chief Procurement Officer of BAM. Inc., Akmal considered himself more progressive than CPOs at other...

The Next Big Idea Club’s Season 18 Nominees

one of my favorite parts of being the editorial director of the Next Big Idea Club is putting together the longlist of seasonal...

AI Visionary And A Prominent Ethics Leader Beena Ammanath Of Deloitte AI Institute

The 9 Inspirational Women Leaders In AI Shaping The 21st Century

Women's day and Women's History Month are especially meaningful to...

TechStuff: A Conversation with Beena Ammanath

[AI Success Factors] Crawl, Walk, Run! – with Beena Ammanath of Deloitte

This is our second episode of our new Monday series highlighting AI Success Factors...

Global Deloitte AI Institute’s Ammanath on Trustworthy AI

As the use of artificial intelligence increases the risk of it going awry, AI learns from the...

Managing Risk in a World Where AI is Everywhere

Beena Ammanath, Executive Director of Global Deloitte AI Institute...

Trustworthy AI: How to ensure trust and ethics in AI

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20...

AI in Business

This is our second episode of our new Monday series highlighting AI Success Factors…

November 09, 2021

Thinking Through the Ethics of New Tech…Before There’s a Problem

We all want the technology in our lives to fulfill its promise — to delight us more than it scares…

March 25, 2020

Trustworthy AI’ is a framework to help manage unique risk

Artificial intelligence (AI) technology continues to advance by leaps and bounds and is quickly…

March 26, 2020

Trust At The Center: Building An Ethical AI Framework

An analysis of annual reports filed most recently with the Securities and Exchange Commission…

July 26, 2021

Everyone in Your Organization Needs to Understand AI Ethics

Many organizations have come around to seeing the business imperative of an AI ethical risk…

Does your company need a chief A.I. ethics officer, an A.I. ethicist, an A.I. ethics council, or all three?

How to position your organization for A.I. ethics success, according to Beena Ammanath, executive director...

Bridging the ethics gap surrounding AI

As more companies adopt AI, leaders grapple with ethical decisions about its design and use. Global AI…

Investing in Trustworthy AI

A report from the Deloitte AI Institute and the U.S. Chamber of Commerce on trustworthy AI innovation…

Trustworthy AI—on a + note

The full potential of AI hinges on more than function. Organizations need confidence that the tools they…

Trustworthy AI™ from Deloitte

Your organization’s success depends on trust. But AI without ethical safeguards can erode…

Realizing the full potential of artificial intelligence

Artificial intelligence (AI) will continue to transform business strategies, solutions, and operations…

Deloitte at SXSW 2021: Fighting Unconscious Bias with Robust AI through Diversity

As investment in AI capabilities increases across industries and countries, there is an urgent need…

August 20, 2021

The AI-Fueled Organization: Propelling innovation across

We are entering a new chapter in the adoption of the current generation of AI technologies...

Conquering AI risks

AI is already transforming organizations across industries, but emerging risks are generating…

Trustworthy AI

Artificial intelligence (AI) has become one of the key technologies of this century and plays an increasingly…

December 10, 2020

5 traits of organizations that use tech responsibly

As new technologies, such as artificial intelligence (AI), quantum computing and blockchain become mainstream, and their practical uses more…

September 29, 2021

Video Quick Take: Deloitte’s Beena Ammanath on AI, Data, and Analytics

Welcome to the HBR Video Quick Take. I’m Todd Pruzan, senior editor for research and special projects at Harvard Business Review…

November 2, 2018

Fireside Chat: Injecting Moral Code into AI – Beena Ammanath, Humans for AI & Will Hayes, Lucidworks

March 2, 2021

Looking For An AI Ethicist? Good Luck

As more companies adopt AI, the risks posed by AI are becoming clearer to business leaders…

April 14, 2020

Why Having a Chief AI Officer Should Matter to HR

Companies using artificial intelligence (AI) across their business units should consider creating a C-suite position…

What Does an Ethical Approach to A.I. Look Like?

The spirit of innovation is mostly positive. After all, innovation leaps humanity forward…

What Does an Ethical Approach to A.I. Look Like?

The spirit of innovation is mostly positive. After all, innovation leaps humanity forward…

An Outlook on AI Ethics with Beena Ammanath

Beena Ammanath is the Executive Director of Deloitte’s AI Institute and leads their Trustworthy AI…

Beena Ammanath, Deloitte: How do you build trustworthy AI?

Would you trust an AI that told you when a plane engine was going to fail? What if the information…

DELOITTE TO HELP ORGANIZATIONS ADDRESS AI ETHICS

Team-up with Chatterbox Labs, due out next month, will build on related work by both companies…

Adopting AI: Putting the Pieces Together

The first three webinars in this series shared expert advice on picking the right problems to solve with AI…

October 7, 2020

AiThority Interview with Beena Ammanath, Executive Director at Deloitte AI Institute

Hi, Beena. Please tell us about your role and the team/technology at the Deloitte AI Institute...

Can you trust artificial intelligence?

Transparency begins with disclosure. By stating a fact you feel someone must know before connecting…

July 20, 2020

Corporate execs are starting to get skittish about AI

Companies increasingly rely on artificial intelligence to automate crucial tasks. Machines with brains….

September 29, 2021

Video Quick Take: Deloitte’s Beena Ammanath on AI, Data, and Analytics

Welcome to the HBR Video Quick Take. I’m Todd Pruzan, senior editor for research and special projects at Harvard Business Review….

November 29, 2018

Learn how HPE is Using AI to Improve Health and Patient Care in Rural Communities

AI is helping companies transform their business to create new products and services by unlock…

© 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.

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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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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.

 

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