Why ethics is becoming AI's biggest challenge; ZDNet, December 27, 2024

  Joe McKendrick, ZDNet ; Why ethics is becoming AI's biggest challenge

"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.

To build responsibly curated AI models, "you need a team composed of more than just data scientists," Boinodiris said. "For decades, we've been communicating that those who don't have traditional domain expertise don't belong in the room. That's a huge misstep."

"It's also notable that well-curated AI models "are also more accurate models," she added. To achieve this, "the team designing the model should be multidisciplinary rather than siloed." The ideal AI team should include "linguistics and philosophy experts, parents, young people, everyday people with different life experiences from different socio-economic backgrounds," she urged. "The wider the variety, the better." Team members are needed to weigh in on the following types of questions:

• "Is this AI solving the problem we need it to?"
• "Is this even the right data according to domain experts?"
• "What are the unintended effects of AI?"
• "How can we mitigate those effects?""