"Given boards' concerns, it's important that companies thoughtfully define a clear AI strategy rather than merely chase the next technological innovation," said Leanne Allen, Head of AI at KPMG UK. This statement emphasizes the necessity for organizations to create a balanced approach to AI that considers value, cost, and risk, ensuring progress while maintaining stakeholder trust.
"The accuracy of results and the potential for hallucinations are their biggest concern when adopting generative AI tools," as indicated by 60% of tech leaders in KPMG's research, highlights the significant apprehensions surrounding the reliability of generative AI. This concern is coupled with anxiety about errors in data skewing outputs and cybersecurity challenges.
KPMG's research reveals that while 42% of UK adults have input work-related information into generative AI tools, only 30% of directors believe responsible usage guidelines have been effectively communicated within their organizations. This disparity showcases a critical gap in governance and the understanding of AI risk management among leadership.
Despite the challenges noted, KPMG's findings show a silver lining: nearly one-quarter of firms report having dedicated generative AI training in place or are developing education materials, indicating a growing awareness of the need to manage potential risks associated with generative AI.
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