Dive Brief:
- As enterprises ramp up AI adoption and spending, IT leaders want to build trust and raise confidence, according to an ABBYY survey published in August.
- IT leaders said more clarity around regulations, better compliance monitoring tools and proactive governance measures would ease concerns, the survey of 1,200 tech decision-makers found.
- More than half of enterprises have guidelines to ensure AI is used responsibly and 36% are in the policy planning stage. More than 2 in 5 are leaning on third-party guidance for responsible use.
Dive Insight:
Trust is tricky, particularly with a technology as powerful as generative AI.
IT leaders are eager to overcome confidence hurdles but point to cybersecurity, data breaches, reliability and accuracy as pressing concerns. Even so, nearly all respondents plan to increase AI investment in the next year, with 2 in 5 raising their budget by as much as 30%, according to ABBYY.
CIOs can help identify and bridge the gap between business goals and the technology’s constraints by setting realistic goals and implementing training initiatives.
JPMorgan Chase has ramped up prompt engineering training in its asset and wealth management division as the financial institution takes a “pragmatic and disciplined” approach to AI, linking use cases to tangible outcomes.
“If we don’t manage our risks and assign our resources efficiently, it really doesn’t matter,” President and COO Daniel Pinto said in May.
Technology leaders are resisting hype-filled promises of turnkey transformation and instead are emphasizing responsible adoption strategies.
The trend extends across industries, from household brands to automotive manufacturers. Colgate-Palmolive, for example, is training every non-plant worker in basic AI principles, prompting, guardrails and ethical use by the end of the year as the consumer goods brand moves forward with AI adoption plans.
