Context has been and remains a central topic in Artificial Intelligence in general. In terms of recent concerns within AI, context is crucial for understanding causation, for personalization and ethical AI and for the development of contextual AI. As well as these broader concerns, research on context is vital for developments within specific areas of AI:
Machine Learning and Knowledge Representation: In most cases, context can not be modelled a-priori but contextual information has to be inferred from data. In addition, contextual features might change over time, necessitating machine learning approaches for dynamic adaptation of context models and methods for reasoning with uncertainty.
Human-Centred AI: In Human-Computer Interaction, context is crucial for human-centred approaches to systems development. Because of the interdisciplinary and transdisciplinary nature of MRC, the workshop series is ideally suited to build bridges between these two closely related sub-fields of computer science and to facilitate the exchange of knowledge and methods for human-centred approaches.
Ethical and Responsible AI: Context is core to ethical and responsible approaches to AI, as reasoning about contextual parameters is inherent in human interpretation of ethical questions. Furthermore, explicit models of context can help mitigate the effects of algorithmic and data bias. The strong connection between context and ethical and responsible AI makes MRC 2020 an ideal venue for discussing research in these areas.
Responsible Personalization: Context is central to enabling a more collaborative partnership between humans and machines. But personalization brings risks to privacy and current methods embed and hide algorithmic bias and data biases. Making context explicit helps mitigating those effects.
Explainable AI: With a renewed interest in explainable systems, context is also increasingly important to identify user needs and system capabilities in providing explanations of system behaviour at runtime.
Autonomous Agents and Robotics: The concept of context is itself contextual and always pertains to the acting agent. Additionally, context is an important issue in autonomous systems, in particular if they are to be integrated in socio-technical environments with human actors.
Context is inherently an interdisciplinary topic that, besides AI and HCI, has clear relations to linguistics and semiotics, cognitive science and psychology, mathematics and philosophy as well as other areas such as sociology and anthropology. Given the recent interest in AI beyond the field, MRC can act as a bridge between these different communities and serve as a means for integrating models and findings from these different areas.
MRC will be a full day workshop on the 29th of August.
The ECAI conference website has more information about the location and the registration process as well as other workshops. Participants of MRC will have to register for ECAI (workshop-only registrations are available). In particular, at least one author of any paper accepted for presentation must register for the MRC workshop at ECAI for the paper to be included in the proceedings.
MRC is an interdisciplinary workshop with a focus on applications within computer science. Because of this focus the workshop primarily attracts participants from within the computer science community and specifically within artificial intelligence. However, MRC has always had a strong interdisciplinary appeal and does draw from fields such as linguistics, semiotics, philosophy, mathematics, cognitive science, social sciences and psychology as well as various sub-fields within computer science. This is also reflected in the list of program committee members past and present.
MRC has traditionally been held on major AI-conferences such as ECAI, IJCAI and AAAI or conferences focusing on context from different perspectives such as the International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT). These workshops have been successful in raising awareness about the importance of context as a major issue for future intelligent systems, especially for the use of mobile devices and current research on autononomous computing. At the same time, advances in methodologies for modelling and retrieving context have been made and MRC continues to provide a venue for the discussion and furthering of research into issues surrounding context.
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MRC 2018 took place at FAIM, the Federated AI meeting in Stockholm. Within FAIM, several leading conferences in Artificial Intelligence were held together in July 2018, including IJCAI-ECAI (The combined International Joined Conference on Artificial Intelligence and European Conference on Artificial Intelligence), AAMAS 2018 (Autonomous Agents and Multiagent Systems), ICCBR 2018 (International Conference on Case-Based Reasoning), ICML 2018 – (International Conference on Machine Learning), and SoCS 2018 (Annual Symposium on Combinatorial Search).
MRC 2017 took place at IJCAI 2017, the International Joint Conference on Artificial Intelligence in Melbourne, Australia. It was a full day workshop. For more information, please check the MRC 2017 schedule and paper download page.
MRC 2016 took place at The 22nd European Conference on Artificial Intelligence (ECAI 2016) in The Hague, The Netherlands. It was jointly held with two other Workshops, the 2nd AI-IoT (Artificial Intelligence and Internet of Things) and 1st MMDA (Multimodal Data Analytics). The proceedings for all three workshops and the overall schedule can be found on our combined workshop website.
Last modified: Friday, 2020-01-10 14:26 UTC.
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