HOW TO CREATE AN AI POLICY FOR YOUR ORGANISATION
Toby Black and Stuart Beresford share some of the knowledge they have gained through developing AI policy.
Learn from their experience and get a better understanding on why you should be looking into your own AI policy if you haven’t already, and gain some knowledge on what you should be taking into consideration when doing so.
“Informative, and a nice, well-paced delivery and well answered questions.” – Leonie Walker, Senior Policy Adviser, ANZCA
“I liked it that you chose not to go for the usual blue skies topics around AI and went with a more practical, next-step topic like developing an AI policy.” – Mathew Chacko, Policy, LINZ
About the Experts
Toby Black has a keen interest in policy analysis and technological development. He has a particular interest in the implications of technology in future public sector operations and processes, and his master’s dissertation explored current regulation and management of algorithms within New Zealand’s public sector, with an eye towards future changes in the regulation and management of these technologies.
Stuart Beresford is a Senior Consultant with two decades of policy analyst experience within the public sector including six years at the United Nations. He has a strong understanding of policy and regulatory processes and has led a range of policy projects relating to civil court fees, energy efficiency, human rights, Māori land law, and privacy regulation.
Downloadable Resource
AI Policy Tips
This document outlines the do's and do'nt of creating your own AI policySecond Downloadable Resource
AI Policy Template
A template to help you create an AI policy for your organisationComing up
WEBINAR | Evaluation Myths Debunked: Reflections from 200+ evaluations
Date: Thursday 16 October 2025 | 2:10 p.m. NZDT |12:10 p.m. AEDT
After evaluating everything from housing programmes to AI initiatives across Australasia, we've identified the evaluation myths that waste time, money, and stakeholder goodwill—even among experienced practitioners.
The evaluation field is full of "sacred cows" that sound logical but don’t always work in practice. Join our experts as they share evidence-based alternatives to popular evaluation assumptions, helping you deliver better results with the resources you have available.
