Trusted AI

Generative AI is rapidly becoming integrated into many facets of our daily lives, from our personal smartphones, interactions with our favourite brands, to the enterprise software systems businesses rely on. For Canadian workers using generative AI at work, there are noticeably higher levels of productivity and work quality. Canadian organizations and workers alike are seeing an opportunity to explore generative AI use cases to help drive innovative solutions for the future.

While generative AI brings essential insights and solutions, its risks are not always fully understood by its users let alone accounted for by many businesses. Failure to address risks can have far-reaching consequences, including litigation, compliance violations, reputational damage, cyber security threats, privacy violations, and intellectual property theft.

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.

Our Trusted AI approach prioritizes regulatory and ethical standards and frameworks at every stage of AI implementation through design, development, and deployment. This approach is led by the expertise of professionals skilled in risk management and AI technology, and KPMG in Canada’s strong network of alliances with leading AI solution providers.

That’s KPMG Trusted AI.

1. Fairness - AI solutions should be designed to reduce or eliminate bias against individuals, communities, and groups.
2. 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.
3. 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.
4. Accountability - Human oversight and responsibility should be embedded across the AI lifecycle to manage risk and comply with applicable laws and regulations.
5. 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.
6. Reliability - AI solutions should consistently operate in accordance with their intended purpose and scope and at the desired level of precision.
7. Security - Robust and resilient practices should be implemented to safeguard AI solutions against bad actors, misinformation, or adverse events.
8. Safety - AI solutions should be designed and implemented to safeguard against harm to people, businesses, and property.
9. Privacy - AI solutions should be designed to comply with applicable privacy and data protection laws and regulations.
10. Sustainability - AI solutions should be designed to be energy efficient, reduce carbon emissions, and support a cleaner environment.

• As a worldwide leader in Artificial Intelligence, we have developed a suite of AI capabilities to help our clients integrate the technology seamlessly into their systems and organization.
• Our extensive experience and understanding of the environmental, social, governance, and risk mitigation aspects of digital transformation, supports our industry recognized approach.
• Our network of strategic alliances allows us to work with our clients to offer highly customized and advanced AI solutions from trailblazers in the space.
• KPMG creates tailored data-driven solutions that help you deliver value, drive innovation, and build stakeholder trust.