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It's About People 2022: Embracing Digital Transformation: For a Sustainable and Ethical Future

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Digital Data In Medicine: Should We Trust Artificial Intelligence?

Jonas Miklavčič
Faculty of Theology of the University of Ljubljana
Slovenia

The European Commission has proposed legislation to enable regulation of artificial intelligence (AI). But many complex algorithmic systems that offer the greatest hope for dramatic advances in medicine often fail to meet the strict criteria of European Commission – e.g. they often do not operate transparently. As one of the criteria for assessing the ethical use of AI, I propose the criterion of successful performance, since perhaps systems that work consistently well could be trusted even if they do not meet the criterion of transparency. Here we encounter the problem of the relationship between trust and performance. Not only does our trust in AI depend on the successful operation of the systems, but the success of their operation depends on our trust, since their performance also relies on the use of data we provide for system's learning. Perhaps the only way out of this circular problem is to trust AI systems before they are completely trustworthy.

 

 


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