AI Magazine November 2024 | Page 73

AI STRATEGY

“ AI systems need some form of centralised registration showing what AI is being used for in an enterprise ”

PETER VAN DER PUTTEN HEAD OF AI LABS , PEGASYSTEMS
Improperly administered AI With the EU having implemented its AI Act , and the US pushing ahead with AI policies , it is now a matter of when and not if your AI operations will have to conform .
Therefore , organisations who may have only just begun to get their heads around AI implementation in their operations , now have to work out how to responsibly administer it .
Luckily , many government policies on AI focus on risk and outcomes rather than attempting to regulate AI systems or platforms broadly .
For instance , the EU AI Act categorises high-risk AI applications and imposes additional documentation and governance requirements .
Therefore , some use of AI platforms may require much less attention than others . However , when dealing in industries like banking , if you use an AI system to deliberate on the credit worthiness of an applicant , or the eligibility and pricing in life insurance , then additional documentation and governance is required .
This necessitates a clear understanding of the processes and records of AI usage within such enterprises . However , the nature of AI applications means that multiple platforms may have been used to engineer various different elements of the process that was used to come up with that decision .
This presents one of the primary difficulties : tracing the machinations that went into the decision . This diffusion can hinder efforts to implement effective oversight to ensure the systems you are running are working in accordance to regulations .
“ The implication for AI systems is that there needs to be some form of centralised registration of where and for what purposes AI used in the enterprise ,” explains Peter . “ This is virtually impossible to achieve in fragmented AI ecosystems , so it is a further driver towards the use of centralised AI platforms , especially for deployment and operationalisation of AI as opposed to mere development platforms .”
aimagazine . com 73