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Artificial intelligence (AI) systems are becoming part of our lives and societies. The more decisions such systems make for us, the more we need to ensure that the decisions they make have a positive individual and societal ethical impact. How can we estimate how good a system is at making ethical decisions? Benchmarking is used to evaluate how good a machine or a process performs with respect to industry bests. In this paper we argue that (some) ethical dilemmas can be used as benchmarks for estimating the ethical performance of an autonomous system. We advocate that an open source repository of such dilemmas should be maintained. We present a prototype of such a repository available at https://imdb. uib.no/dilemmaz/articles/all1.
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Stored only when both papers are in the corpus — 17 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.