KPMG member firms are committed to using AI ethically and responsibly
AI solutions should have:
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.
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