Explainable Adaptive Assistants

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\begin{bibtex} @INPROCEEDINGS{DBLP:conf/twc/Glass08,

 author = {Alyssa Glass, Deborah McGuinness, Michael Wolverton, Paulo Pinheiro da Silva, Cynthia Chang},
 title = {Explainable Adaptive Assistants},
 booktitle = {Tetherless World Constellation Grand Opening},
 volume =  {Demo Program},
 year = {2008},
 type = {Demo},
 topic = {Inference Web, explaining machine learning},
 url = {http://inference-web.org/demos/ICEE.640.mov}
 abstract = {Usable adaptive assistants need to be able to explain their recommendations if users are expected to trust them.  Our work on ICEE -- the Integrated Cognitive Explanation Environment -- provides an extensible infrastructure for supporting explanations.  We aim to improve trust in learning-enabled agents by providing transparency concerning provenance, information manipulation, task processing, and machine learning.  The ICEE explainer includes descriptions of question types and explanation strategies; an architecture for generating interoperable, machine interpretable, sharable justifications of answers containing enough information to generate explanations; components capable of obtaining justification information from SPARK (a BDI agent architecture); and a complete history of execution states as justifications. }

} \end{bibtex}

Image:Glass-CALO-08.ppt