Abstract

Autonomous systems are widely used. Yet, for lack of transparency, we are increasingly suspicious of their decision making. Traditional validation, such as functional testing and brute force, won’t help, due to complexity and cost. To achieve dependability and trust we need dedicated, intelligent validating techniques that cover, for instance, dynamic changes and learning. Michael Weyrich and I provide industry insights into validating autonomous systems. I look forward to hearing from both readers and prospective authors about this article and the technologies you want to know more about.

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