Building more explainable artificial intelligence with argumentation
Currently, much of machine learning is opaque, just like a “black box”. However, in order for humans to understand, trust and effectively manage the emerging AI systems, an AI needs to be able to explain its decisions and conclusions. In this paper, I propose an argumentation-based approach to expla...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16762 https://hdl.handle.net/10356/139223 |