- 9th Italian Workshop on Machine Learning and Data Mining (MLDM.it 2020)
- Italian Workshop on Explainable Artificial Intelligence (XAI.it 2020)
- Workshop on Evolutionary and Population-based Optimization (WEPO 2020)
- Advances In Argumentation In Artificial Intelligence (AI^3 2020)
- 8th Italian Workshop on Planning and Scheduling (IPS 2020)
- The 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020)
- 4th Workshop on Natural Language for Artificial Intelligence (NLP4AI-2020)
- 27th RCRA International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA 2020)
- Italian Workshop on Artificial Intelligence for an Ageing Society (AIxAS 2020)
- AIxIA 2020 Discussion Papers (AIxIA 2020 DP)
9th Italian Workshop on Machine Learning and Data Mining (MLDM.it 2020)
Following the success of the first eight editions of the Italian Workshop on Machine Learning and Data
Mining (MLDM.it) at the AI*IA Symposiums and AI*IA Conferences on Artificial Intelligence, this workshop
aims at bringing together researchers actively involved in the fields of machine learning, data mining, deep
learning, pattern recognition, and knowledge discovery.
Besides traditional novel ML&DM technique presentations, the edition of this year focuses in particular on the presentation of new open problems and challenges for the ML&DM addressing the wider AI area and its applications, and on the discussion of the issues related to the Italian researchers opportunities in the context of the new national and European scenario for the AI research networks.
Italian Workshop on Explainable Artificial Intelligence (XAI.it 2020)
Artificial Intelligence systems are increasingly playing an increasingly important role in our daily lives. As their importance in our everyday lives grows, it is fundamental that the internal mechanisms that guide these algorithms are as clear as possible. It is not by chance that the recent General Data Protection Regulation (GDPR) emphasized the users' right to explanation when people face artificial intelligence-based technologies. Unfortunately, the current research tends to go in the opposite direction, since most of the approaches try to maximize the effectiveness of the models (e.g., recommendation accuracy) at the expense of the explainability and the transparency.
The main research questions which arise from this scenario is straightforward: how can we deal with such a dichotomy between the need for effective adaptive systems and the right to transparency and interpretability? Several research lines are triggered by this question: building transparent intelligent systems, analyzing the impact of opaque algorithms on final users, studying the role of explanation strategies, investigating how to provide users with more control in the behavior of intelligent systems. The workshop tries to address these research lines and aims to provide a forum for the Italian community to discuss problems, challenges and innovative approaches in the various sub-fields of AI.
Workshop on Evolutionary and Population-based Optimization (WEPO 2020)
The workshop WEPO2020 is intended to foster the discussion about Evolutionary Computation
(EC) and Population-based Optimization (PO). Nature-inspired algorithms are largely used for
solving optimization problems in a large number of fields due to their simplicity and effectiveness.
The underlying principles behind these algorithms are simple enough to allow a great adaptability
to various problems and domains and, while maintaining excellent effectiveness, they offer the
possibility of obtaining explainable solutions. In a scenario where AI is increasingly predominant,
but often with black box solutions, the explainability of EC and PO solutions may be an answer to
the growing demand for understandable AI.
The goal of this workshop is to explore and discuss the latest trends, promising results and hot topics in the fields of EC and PO, offering a discussion forum where new research collaborations can be established.
Advances In Argumentation In Artificial Intelligence (AI^3 2020)
The aim of the AI^3 workshop is to bring together researchers interested in computational models of argument and the representation of argumentation structures in natural language texts, including the problem of automatically discovering argumentation in text or speech.
8th Italian Workshop on Planning and Scheduling (IPS 2020)
Automated Planning and Scheduling is a historical and active branch of Artificial Intelligence. The workshop welcomes both theoretical and practical contributions in any aspect of automated planning and scheduling, with the purpose of encouraging the italian research community to share ideas and new trends on the field. The forum is an occasion not only to consolidate the community, but also to engage young and new researchers into the field.
The 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020)
AIRO 2020 is part of an on-going effort to consolidate the Italian community working on various aspects of the intersection between AI and Robotics.
AIRO 2020 will advance current debates about the use of Artificial Intelligence techniques to design robots able to interact with real world environments. It will showcase contributions from the community working at the intersection between Artificial Intelligence and Robotics.
4th Workshop on Natural Language for Artificial Intelligence (NL4AI-2020)
Natural Language Processing research plays a relevant role in current AI, as the target of different scientific and industrial interests. Natural Language is at the crossroad of Learning, Knowledge Representation and Cognitive Modeling. Several recent AI achievements have repeatedly shown their beneficial impact on complex inference tasks, with huge application perspectives in linguistic modelling, processing and inferences. However, Natural Language Understanding is still a rich research topic, whose cross-fertilization spans a number of independent areas such as Cognitive Computing, Robotics as well as Human-Computer Interaction. For AI, Natural Languages are either the research focus of paradigms and applications but, at the same time, they act as cornerstones of automation, autonomy and learnability for most intelligent phenomena ranging from Vision, to Planning and Social Behaviors. A reflection about such diverse and promising interactions is an important target for current AI studies, fully in the core mission of AI*IA. This workshop, supported by the Special Interest Group on NLP of AI*IA and the Italian Association for Computational Linguistics (AILC), aims at providing a broad overview of recent activities in the field of Human Language Technologies (HLT) in Italy.
27th RCRA International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA 2020)
The aim of RCRA is fostering the cross-fertilisation of ideas stemming from different areas, proposing benchmarks for new challenging problems, comparing models and algorithms from an experimental viewpoint, and, in general, comparing different approaches with respect to efficiency, problem modelling, and ease of development.
Italian Workshop on Artificial Intelligence for an Ageing Society (AIxAS 2020)
AIxAS workshop aims to strengthen the forum of the members of the Italian Association for Artificial Intelligence, public institutions, and industrial realities on the topics of AI applied to the Ageing Society. It will collect knowledge, experiences and trends showing how AI could add value to the promotion of a new generation of innovative support systems. Contributions from cross-disciplinary approaches and stockholders involved in the Ageing Society are also welcome, to support AI approaches to be a player in the future of AI for this social phenomenon.
AIxIA 2020 Discussion Papers (AIxIA 2020 DP)
Besides workshop papers, and following the successful edition of AIxIA 2019, we also welcome discussion papers containing descriptions of results that have been recently published or accepted for the presentation in international conferences. Discussion papers are expected to be more broadly accessible, they are an opportunity for the authors to present their recent results to the AI community, and a valuable addition for the attendees of AIxIA 2020.