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Better practice in AI governance: we provide a checklist

Successfully integrating AI into an organisation requires a comprehensive strategy encompassing proactive risk management, ethical governance, continuous learning and culture change. There is no onesize-fits-all approach. What may work well for one organisation may not work for others.

Leveraging reusable patterns, such as those highlighted in the Voluntary AI Safety Standard, RAI patterns17 and process metrics18, can streamline the adoption process and ensure best practices are followed. The following best practice recommendations aim to guide organisations in effectively adopting and managing AI technologies while ensuring alignment with broader organisational goals and ethical standards.

A checklist for AI governance

ActionCheck
Adopt a proactive approach:
Organisations should continuously learn and adapt to the evolving AI landscape. This involves fostering a culture of proactive risk management and ethical AI
deployment. By staying ahead of technological advancements and potential risks, organisations can better navigate the complexities of AI integration.
Integrate AI into existing frameworks: AI considerations should be integrated into existing organisational structures such as ESG frameworks. This ensures that AI deployment aligns with broader organisational and governance goals. Add AI specific frameworks on top to address AI specific issues and to ensure that there are no gaps. Standards such as ISO42001:2023 Artificial Intelligence management system and the Australian Government’s Voluntary AI Safety Standard
can help with this.
Enhance digital literacy and education: Boards and executives must prioritise digital literacy and upskilling to effectively engage with AI-related issues. Continuous education and training programs are essential to equip employees with the necessary skills and understanding of AI technologies. These programs should focus on developing intuitive standards and clear guidance for both technical and non-technical users, fostering a knowledgeable and adaptable workforce.
Adopt the Voluntary AI Safety Standard: Adopt comprehensive governance frameworks that address both internal and third-party AI use. The Voluntary AI Safety Standard supports safe and responsible AI deployment across all levels of the organisation, including suppliers and partners. Integrate AI considerations into existing governance frameworks and policies, such as developing a hardened sandbox environment for testing AI systems and ensuring comprehensive supplier risk management.
Foster collaboration and adhere to standards: Global collaboration and adherence to international standards are crucial for effective AI governance. Aligning with frameworks such as the EU AI Act and other international guidelines ensures responsible AI deployment and promotes consistency across different jurisdictions. Collaboration also involves sharing best practices and leveraging reusable patterns like RAI to streamline AI adoption.

For any assistance with addressing the AI governance needs of your organisation, do not hesitate to contact your local PKF Audit and governance expert.


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