Technology enabled AI performance

When it comes to artificial intelligence (AI) applications, notably the use of generative AI (GenAI), security and regulatory compliance is quickly becoming a top priority. Today’s chief technology officers, chief information officers, and chief information security officers face heightened scrutiny as regulatory demand on the GRC function increases. This represents a significant shift in how AI technology is governed, driving towards a future where AI is implemented and used in a responsible, ethical, and efficient way.

A human-centered approach to AI governance

AI is a tool for humans. As such, organizations must consider both the technology components as well as the “human in the loop” when creating their AI governance model. It is not enough for AI to be secure. AI technology, and its users, must be bound by controls that allow for it to be trusted by all stakeholders who may be impacted by its use.

KPMG Trusted AI is a human-centric approach to governing AI. It is based on ethical practices that inspire a commitment to trustworthiness, help ensure data practices uphold the highest ethical standards, and reinforce the need to comply with privacy, data protection regulations and confidentiality requirements.

A tech-enabled approach to AI governance

The KPMG Trusted AI framework can be combined with the native capabilities of the ServiceNow platform to support governance, risk, and compliance management of AI applications. KPMG embeds the ten pillars of Trusted AI into detailed risk and control objectives in the ServiceNow Integrated Risk Management (IRM) suite to help organizations adopt AI safely and ethically. This approach helps clients focus on building a robust controls library with regular updates and automated indicators as AI management solutions evolve and differ across businesses.