AI Magazine June 2026 Issue 46 | Page 55

Ethical AI
Accenture works on deploying an ethicsby-design approach to resident engagement for benefit distribution.
Its solutions use predictive analytics and machine learning to support residents engaging with DSS.
This means that residents can improve interaction with DSS using new AI technologies while maintaining responsible AI principals.
“ We’ re always making sure there is a human in the lead,” says Eyal.“ What we’ re relying on AI to do is to make sure that we are able to create the right automation to support both residents and DSS staff.
“ In many cases, people think of AI as an accelerator – something automated that works without any human intervention. In reality, that’ s not the case. We want to make sure that, across the workflow of social services, there are the right checks and balances where humans are verifying and confirming, and there should never be a circumstance by which an AI is making benefit determinations.”
What does the future hold?
According to Eyal, the systems implemented in Missouri can be scaled for other organisations in the US public sector.
My hope is that we continue to provide innovative solutions to the state of Missouri and DSS in support of their engagement with residents” he says.“ AI technology evolves almost by the week. I think there’ s going to be new technology opportunities to leverage new AI capabilities that could be available in the future.
“ The mindset of continuous improvement and enhancement is one that Missouri DSS has adopted and embraced.”
“ We’ re honoured to be part of the partnership with Missouri DSS. We will continue doing more innovative, creative things as they become relevant to our clients.”
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Eyal Darmon
Dana Chamblee