DATA & ANALYTICS
“ As AI systems advance to the point of making their own decisions , the lines between emergent behaviours and actions we intentionally trained them to do become indistinguishable , making it even more difficult to ensure transparency and accountability ,” explains Jeff .
In the context of the previously mentioned ecommerce setting , Agentic AI changed the route of goods so it was longer , yet you can see no particular reason for doing so . Not knowing the internal machinations the system is using to make those decisions means companies may be unsure whether to change course or go with the AI ’ s choice in the belief it has picked up something and it is not a misinterpretation .
This means Agentic AI becomes increasingly difficult to implement when leveraging it for more regulated industries , like healthcare or finance , where decisions on things like the approval of loans must follow strict guidelines .
“ As AI systems become more integral to decision-making , the issues of data privacy and algorithmic bias become even more pressing ,” explains Adnan . “ These systems must be designed with robust safeguards to ensure they do not inadvertently perpetuate existing biases or violate privacy standards .”
A future of Agentic AI As we look to the future , the explosion of interest in AI is ushering in advancements that may bring about the age of Agentic AI sooner than many think .
126 November 2024