The article critiques the current approach to evaluating artificial intelligence, asserting that metrics like speed and accuracy are insufficient. With AI becoming integral to areas such as hiring and healthcare, the focus must shift toward assessing the technology as a reliable business partner. The author argues that like hiring practices that consider cultural fit and collaboration, AI evaluations should also account for ethical and human-centric factors, moving beyond mere performance metrics, which often create blind spots that may lead to bias and ineffective outcomes.
"When you hire someone for your team, do you only look at their test scores and the speed they work at? Of course not."
"We're still stuck on the digital equivalent of standardized test scores."
"It's like judging a restaurant solely on how fast it serves food while ignoring whether the meals are nutritious, safe, or actually taste good."
"Despite significant tech advances, evaluation frameworks remain stubbornly focused on performance metrics while largely ignoring ethical, social, and human-centric factors."
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