AI Governance Best Practices
In an era defined by innovation, ensuring the responsible deployment of AI is not just a commitment—it’s a necessity. AI governance provides the framework, policies and processes to balance innovation with ethical considerations, ensuring the impact of AI technologies is positive, transparent, and fair.
Associate Director and governance expert, Jane Brimacombe, shares her insights on some key considerations for organisations wanting to appropriately leverage AI enabled technology.
AI Governance Best Practices
- Conduct an AI risk assessment – Identify ethics, privacy, security, third-party and algorithmic risks (among others) to customers and your organisation.
- Assign governance roles and responsibilities – Leveraging existing data governance structures, establish internal governance controls, accountability and decision rights to determine how AI is used across your organisation.
- Privacy and security implications – Implement robust policies and processes to safeguard sensitive and personal data against potential security and privacy threats.
- Align with legislative and regulatory requirements – Stay up to date with industry best practices and regulatory standards for AI use – for example, Australia’s AI Ethics Principles
- Upskill the capabilities of your team – Understand where your capabilities are and how to uplift them to ensure your team is effectively trained in how to govern and use AI-enabled services.
GWI is dedicated to helping our customers establish and uphold AI governance best practices to mitigate privacy and ethical risks and realise the full potential of AI in their business.
Browse our AI governance services and read more about how we support our customers to make better decisions with, and about, data.
