Generative artificial intelligence (AI) has become widely popular, but its adoption by businesses comes with a degree of ethical risk. Organizations must prioritize the responsible use of generative AI by ensuring it is accurate, safe, honest, empowering, and sustainable. Organizations need to be mindful of the ethical implications and take necessary steps to reduce risks. Specifically, they need to: use zero or first party data, keep data fresh and well labeled, ensure there’s a human in the loop, test and re-test, and get feedback.

Corporate leaders, academics, policymakers, and countless others are looking for ways to harness generative AI technology, which has the potential to transform the way we learn, work, and more. In business, generative AI has the potential to transform the way companies interact with customers and drive business growth. New research shows 67% of senior IT leaders are prioritizing generative AI for their business within the next 18 months, with one-third (33%) naming it as a top priority. Companies are exploring how it could impact every part of the business, including sales, customer service, marketing, commerce, IT, legal, HR, and others.

However, senior IT leaders need a trusted, data-secure way for their employees to use these technologies. Seventy-nine-percent of senior IT leaders reported concerns that these technologies bring the potential for security risks, and another 73% are concerned about biased outcomes. More broadly, organizations must recognize the need to ensure the ethical, transparent, and responsible use of these technologies.

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