This week, I am preparing a new template for the SecAware policy suite covering the information risks and security, privacy, compliance, assurance and governance arrangements for A rtificial I ntelligence or M achine L earning systems. With so much ground to cover on this complex, disruptive and rapidly-evolving technology, it is quite a challenge to figure out the key policy matters and express them succinctly in a generic form. Just for kicks, I set out by asking GPT-4 to draft a policy but, to be frank, it was more hindrance than help. The draft was quite narrowly focused, entirely neglecting several relevant aspects that I feel are important - the information risks arising from the use of commercial AI/ML services by workers, for instance, as opposed to AI/ML systems developed in-house. The controls it espoused were quite vague and limited in scope, but that's not uncommon in policies. It noted the need for accountability, for instance, but didn't clarify the reasons nor...