Information Structures for Causally Explainable Decisions
For an AI agent to make trustworthy decision recommendations under uncertainty on behalf of human principals, it should be able to explain <i>why</i> its recommended decisions make preferred outcomes more likely and what risks they entail. Such rationales use causal models to link potent...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/23/5/601 |