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Both within AI systems and in interactive systems, the ability to explain reasoning processes and results can have substantial impact. Current interest in mixed-initiative systems provides a new context in which explanation issues may play a crucial role. When knowledge-based systems are partners in an interactive socio-technical process, with incomplete and changing problem descriptions, communication between human and software systems is a central part. Explanations exchanged between human agents and software agents may play an important role in mixed-initiative problem solving. Suggested topics for contributions (not restricted on IT views):
- Models for explanations
- Integrating application and explanation knowledge
- Explanation-awareness in applications
- Methodologies for developing explanation-aware systems
| - Learning to explain
- Context-aware explanation vs. explanation-aware context
- Confidence and explanations
- Security, trust, and explanation
| - Requirements and needs for explanations to support human understanding
- Explanation of complex, autonomous systems
- Co-operative explanation
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If you are in doubt whether your contribution fits in with the workshop topics just send an email to the workshop organisers at
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