Responsible AI refers to the development and use of artificial intelligence systems in a way that is ethical, transparent, secure, and aligned with regulatory and societal expectations. Organisations implementing AI technologies must ensure that automated systems operate fairly, protect sensitive data, and minimise bias or unintended consequences. Responsible AI frameworks typically include governance processes for model oversight, explainability, accountability, and security controls to prevent misuse or manipulation. In Australia, regulators and industry bodies increasingly emphasise responsible AI practices, particularly where AI is used to process personal data, make decisions impacting individuals, or support critical infrastructure. Responsible AI also requires strong cybersecurity and risk management practices to ensure AI models cannot be exploited by malicious actors. Many organisations implement governance, risk, and compliance (GRC) frameworks to manage AI risks and ensure alignment with privacy regulations, cybersecurity standards, and emerging AI governance principles.

MyRISK supports responsible AI by providing a governance layer for policies, approval workflows, risk assessments, controls, evidence, and monitoring related to AI use. It is particularly relevant where organisations need to demonstrate that AI-enabled decisions are transparent, reviewed, and aligned to defined rules or guardrails. This fits strongly with MyRISK’s broader focus on defensibility and traceable governance.