Many organizations are either delaying or pulling the plug on generative AI due to concerns about its ethics and safety. This is prompting calls to move AI out of technology departments and involve more non-technical business stakeholders in AI design and management. More than half (56%) of businesses are delaying major investments in generative AI until there is clarity on AI standards and regulations, according to a recent survey from the IBM Institute for Business Value. At least 72% say they are willing to forgo generative AI benefits due to ethical concerns. Many of the technical issues associated with artificial intelligence have been resolved, but the hard work surrounding AI ethics is now coming to the forefront. This is proving even more challenging than addressing technology issues. The challenge for development teams at this stage is “to recognize that creating ethical AI is not strictly a technical problem but a socio-technical problem,” said Phaedra Boinodiris, global leader for trustworthy AI at IBM Consulting, in a recent podcast. This means extending AI oversight beyond IT and data management teams across organizations.

Full opinion : Teams designing AI should include linguistics and philosophy experts, parents, young people, everyday people with different life experiences from different socio-economic backgrounds.