AI at AMP

To help us we’ve developed a Responsible AI (RAI) Framework. Built on research into global best practice, the Framework includes key Principles which set out practical steps to guide how we design, procure and use AI. These Principles have been designed to reflect AMP’s business and values.

The RAI Principles apply organisation-wide; we use mandated training and executive endorsement to equip all teams to understand their responsibilities and our commitment to responsible AI use. This approach helps us ensure that our AI solutions support positive outcomes for our customers and stakeholders.

Our Responsible AI Principles are:

1. We put people first: AMP uses AI to create value for people. We apply AI in ways that benefit our members, customers, employees, advisers, shareholders and the broader community, and that are safe, responsible and aligned with AMP’s purpose, values and responsibilities.

2. We are open and honest about how AI is used: AMP will be transparent about how we use AI. We communicate clearly when AI is used, what role it plays, and how people can question or challenge its outputs.

3. We use AI safely and protect data: AMP uses AI in ways that protect privacy, maintain security and manage risks responsibly. We apply strong safeguards to ensure AI systems are safe, reliable and aligned with our risk and data governance Frameworks.

4. Our AI is fair and inclusive: AMP seeks to ensure AI systems operate fairly and do not create unjustified bias, discrimination or exclusion. We use AI in ways that support fair processes and outcomes for diverse groups of people.

5. We learn, adapt and innovate with care: AMP embraces innovation while managing risks responsibly. We use AI to improve our products, services, decision-making and operations, while continuously learning, monitoring and adapting as technology evolves. Responsible AI requires both curiosity and control. We encourage experimentation and improvement, while recognising that AI risks change with context, autonomy and scale.

6. We share responsibility and work together: AMP takes a shared approach to responsible AI. We embed accountability across the organisation rather than a single individual or team. Our governance approach is transparent, proportionate to risk and able to adapt as AI evolves.