首页|Netherlands Cancer Institute Reports Findings in Artificial Intelligence (Artifi cial intelligence and explanation: How, why, and when to explain black boxes)
Netherlands Cancer Institute Reports Findings in Artificial Intelligence (Artifi cial intelligence and explanation: How, why, and when to explain black boxes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Artificial Intelligence is the su bject of a report. According to news reporting originating from Amsterdam, Nethe rlands, by NewsRx correspondents, research stated, "Artificial intelligence (AI) is infiltrating nearly all fields of science by storm. One notorious property t hat AI algorithms bring is their so-called black box character." Our news editors obtained a quote from the research from Netherlands Cancer Inst itute, "In particular, they are said to be inherently unexplainable algorithms. Of course, such characteristics would pose a problem for the medical world, incl uding radiology. The patient journey is filled with explanations along the way, from diagnoses to treatment, follow-up, and more. If we were to replace part of these steps with non-explanatory algorithms, we could lose grip on vital aspects such as finding mistakes, patient trust, and even the creation of new knowledge . In this article, we argue that, even for the darkest of black boxes, there is hope of understanding them. In particular, we compare the situation of understan ding black box models to that of understanding the laws of nature in physics. In the case of physics, we are given a ‘black box' law of nature, about which ther e is no upfront explanation. However, as current physical theories show, we can learn plenty about them. During this discussion, we present the process by which we make such explanations and the human role therein, keeping a solid focus on radiological AI situations. We will outline the AI developers' roles in this pro cess, but also the critical role fulfilled by the practitioners, the radiologist s, in providing a healthy system of continuous improvement of AI models."
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