KPMG Trusted AI

Accelerate the value of AI with confidence

GenAI was utilized in the creation of this image

We are committed to using AI ethically and responsibly.

We believe in the transformative power of AI—and that it can only reach its full potential when it is paired with human expertise and ingenuity. At KPMG, we are committed to upholding ethical standards for AI solutions that align with our Values and professional standards, and that foster the trust of our clients, people, communities, and regulators. We are steadfast in our commitment to act in a way that serves the public interest, honors public trust, and demonstrates our commitment to professional excellence.

KPMG Trusted AI

KPMG Trusted AI is our strategic approach and framework to designing, building, deploying, and using AI solutions in a responsible and ethical manner so we can accelerate value with confidence.

Read our commitment here

KPMG Trusted AI

The KPMG trusted AI approach

Read our statement

GenAI was utilized in the creation of the above image

We believe in the transformative power of AI—and that it can only reach its full potential when it is paired with human expertise and ingenuity. At KPMG, our purpose is to inspire confidence and empower change. Tracing our origins back over 150 years, our people have played a leading role in harnessing the power of new technologies and providing assurance and direction in implementing them.

We are committed to upholding ethical standards for AI solutions that align with our Values and professional standards, and that foster the trust of our clients, people, communities, and regulators. We are steadfast in our commitment to act in a way that serves the public interest, honors public trust, and demonstrates our commitment to professional excellence.

KPMG Trusted AI is our strategic approach and framework to designing, building, deploying, and using AI solutions in a responsible and ethical manner so we can accelerate value with confidence.

*GenAI was utilized in the creation of the above image*

We believe in the transformative power of AI—and that it can only reach its full potential when it is paired with human expertise and ingenuity. At KPMG, our purpose is to inspire confidence and empower change. Tracing our origins back over 150 years, our people have played a leading role in harnessing the power of new technologies and providing assurance and direction in implementing them.

We are committed to upholding ethical standards for AI solutions that align with our Values and professional standards, and that foster the trust of our clients, people, communities, and regulators. We are steadfast in our commitment to act in a way that serves the public interest, honors public trust, and demonstrates our commitment to professional excellence.

KPMG Trusted AI is our strategic approach and framework to designing, building, deploying, and using AI solutions in a responsible and ethical manner so we can accelerate value with confidence.

Read our committment here

"To adhere to current requirements and prepare for future regulations, leading companies are instituting Trusted AI programs that embed clear guardrails across the organization and continually adapt to address new, evolving risks. With the right governance, policies, and controls, organizations can strike the right balance between being bold, fast, and responsible to accelerate the value of AI with confidence."

Steve Chase, AI and Digital Innovation Vice Chair, KPMG in the U.S.

Steve Chase

AI and Digital Innovation Vice Chair, KPMG in the U.S.

Values-driven

Values-driven

Our Values inform our day-to-day behaviors and help us navigate emerging opportunities and challenges.

Human-centric

Human-centric

We are embracing AI to empower and augment human capabilities—to unleash creativity and improve productivity in a way that allows people to reimagine how they spend their days.

Trustworthy

Trustworthy

We will strive to ensure our data acquisition, governance, and usage practices uphold ethical standards and comply with applicable privacy and data protection regulations, as well as any confidentiality requirements.

Values-driven

We implement AI as guided by our Values. They are our differentiator and shape a culture that is open, inclusive and operates to the highest ethical standards. Our Values inform our day-to-day behaviors and help us navigate emerging opportunities and challenges.

Human-centric

We prioritize human impact as we deploy AI and recognize the needs of our clients and our people. We are embracing this technology to empower and augment human capabilities—to unleash creativity and improve productivity in a way that allows people to reimagine how they spend their days.

Trustworthy

We will adhere to our principles and the ethical pillars that guide how and why we use AI across its lifecycle. We will strive to ensure our data acquisition, governance, and usage practices uphold ethical standards and comply with applicable privacy and data protection regulations, as well as any confidentiality requirements.

AI challenges

According to CEOs, ethical challenges are the top obstacle to successfully implementing generative AI, followed by costs and technical skills. - KPMG 2023 U.S. CEO Survey

72%

of CEOs say generative AI is a top investment priority despite uncertain economic conditions.

Yet 81%

of CEOs express concern that the lack of regulations for generative AI within their industry will hinder their organization’s success.

10 Ethical Pillars

Fairness

Fairness

AI solutions should be designed to reduce or eliminate bias against individuals, communities, and groups.

Transparency

Transparency

AI solutions should include responsible disclosure to provide stakeholders with a clear understanding of what is happening in each solution across the AI lifecycle.

Explainability

Explainability

AI solutions should be developed and delivered in a way that answers the questions of how and why a conclusion was drawn from the solution.

Accountability

Accountability

Human oversight and responsibility should be embedded across the AI lifecycle to manage risk and comply with applicable laws and regulations.

Data integrity

Data integrity

Data used in AI solutions should be acquired in compliance with applicable laws and regulations and assessed for accuracy, completeness, appropriateness and quality to drive trusted decisions.

Reliability

Reliability

AI solutions should consistently operate in accordance with their intended purpose and scope and at the desired level of precision.

Security

Security

Robust and resilient practices should be implemented to safeguard AI solutions against bad actors, misinformation, or adverse events.

Safety

Safety

AI solutions should be designed and implemented to safeguard against harm to people, businesses, and property.

Privacy

Privacy

AI solutions should be designed to comply with applicable privacy and data protection laws and regulations.

Sustainability

Sustainability

AI solutions should be designed to be energy efficient, reduce carbon emissions, and support a cleaner environment.

10 Ethical Pillars of KPMG Trusted AI

At KPMG, our approach to trusted AI rests on ten core pillars across the AI lifecycle:

Fairness

AI solutions should be designed to reduce or eliminate bias against individuals, communities, and groups.

Transparency

AI solutions should include responsible disclosure to provide stakeholders with a clear understanding of what is happening in each solution across the AI lifecycle.

Explainability

AI solutions should be developed and delivered in a way that answers the questions of how and why a conclusion was drawn from the solution.

Accountability

Human oversight and responsibility should be embedded across the AI lifecycle to manage risk and comply with applicable laws and regulations.

Data integrity

Data used in AI solutions should be acquired in compliance with applicable laws and regulations and assessed for accuracy, completeness, appropriateness, and quality to drive trusted decisions.

Reliability

AI solutions should consistently operate in accordance with their intended purpose and scope and at the desired level of precision.

Security

Robust and resilient practices should be implemented to safeguard AI solutions against bad actors, misinformation, or adverse events.

Safety

AI solutions should be designed and implemented to safeguard against harm to people, businesses, and property.

Privacy

AI solutions should be designed to comply with applicable privacy and data protection laws and regulations.

Sustainability

AI solutions should be designed to be energy efficient, reduce carbon emissions, and support a cleaner environment.

10 Ethical Pillars

KPMG Trusted AI

Fairness

Fairness

AI solutions should be designed to reduce or eliminate bias against individuals, communities, and groups.

Transparency

Transparency

AI solutions should include responsible disclosure to provide stakeholders with a clear understanding of what is happening in each solution across the AI lifecycle.

Explainability

Explainability

AI solutions should be developed and delivered in a way that answers the questions of how and why a conclusion was drawn from the solution.

Accountability

Accountability

Human oversight and responsibility should be embedded across the AI lifecycle to manage risk and comply with applicable laws and regulations.

Data integrity

Data integrity

Data used in AI solutions should be acquired in compliance with applicable laws and regulations and assessed for accuracy, completeness, appropriateness and quality to drive trusted decisions.

Reliability

Reliability

AI solutions should consistently operate in accordance with their intended purpose and scope and at the desired level of precision.

Security

Security

Robust and resilient practices should be implemented to safeguard AI solutions against bad actors, misinformation, or adverse events.

Safety

Safety

AI solutions should be designed and implemented to safeguard against harm to people, businesses, and property.

Privacy

Privacy

AI solutions should be designed to comply with applicable privacy and data protection laws and regulations.

Sustainability

Sustainability

AI solutions should be designed to be energy efficient, reduce carbon emissions, and support a cleaner environment.

KPMG Trusted AI

The Council guides how we put our principles into practice, including policies, processes and training on the ethical and responsible use of AI, and addresses emerging matters that may arise.

In addition, KPMG is actively collaborating—internally and externally—to help evolve AI governance frameworks.

See how we’re enabling Trusted AI for our clients.

Learn more

See how we’re enabling Trusted AI for our clients.

Insight

Webcast Replay Webcast Upcoming Listen Now

Generative AI is a game-changing technology, offering innovative ways to engage with users and generate content with deeper insights.

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Present Regulatory Trajectories and Future Horizons

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Call for AI risk management actions/standards for privacy, security, consumer/worker protections, and innovation

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Insights from the 2023 KPMG US AI Risk Survey Report

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An exclusive KPMG survey examines four areas where this remarkable technology shows great promise.

Insight

Webcast Replay Webcast Upcoming Listen Now

Demonstrating 'trusted AI systems'

Image of Steve Chase

Steve Chase

Vice Chair – Artificial Intelligence & Digital Innovation, KPMG US

Read bio

Image of Tonya Robinson

Tonya Robinson

Vice Chair and General Counsel – Legal, Regulatory and Compliance, KPMG US

Read bio

Image of Steve Chase

Steve Chase

Vice Chair – Artificial Intelligence & Digital Innovation, KPMG US

Read bio

Image of Tonya Robinson

Tonya Robinson

Vice Chair and General Counsel – Legal, Regulatory and Compliance, KPMG US

Read bio

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