Computerworld April 1, 2025
As the reliability of generative AI data remains doubtful, IT leaders need to seriously consider their risk tolerance. Most corporate boards certainly won’t.
Although many C-suite and line-of-business (LOB) execs are doing everything they can to focus on generative AI (genAI) efficiency and flexibility — and not about how often the technology delivers wrong answers — IT decision-makers can’t afford to do the same thing.
This isn’t just about hallucinations, although the increasing rate at which these kinds of errors crop up is terrifying. This lack of reliability is primarily caused by elements from one of four buckets:
- Hallucinations, where genAI tools simply make up answers;
- Bad training data, whether that means data that’s insufficient, outdated, biased or of...
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