TAILOR workshop 2020

ECAI the TAILOR Workshop will be fully digital. The latest program can be found here: TAILOR Workshop 2020 Program

The current scientific landscape is fragmented with many research groups working individually or in smaller constellations in often relatively isolated scientific communities: machine reasoning, machine learning, and optimization are examples of such mostly disjoint communities.

The TAILOR workshop will bring these groups and researchers together in a unique atmosphere to discuss the state of the art and the latest advances in the integration of learning, optimisation and reasoning to provide the scientific foundations for Trustworthy AI. TAILOR community builds upon a large H2020 proposal on building a network of centers of excellence that includes over 100 labs in Europe.

The TAILOR network of research excellence centers focus on the scientific foundations of Trustworthy AI integrating learningoptimisation, and reasoning.

Main scientific topics of the workshop

Trustworthiness. How to learn fair AI models, even in spite of biased data? How to develop explainable and interpretable AI decision processes? How to develop transparent AI systems and integrate them into the decision process for increasing user trust? How to develop theories and techniques for robust AI systems such as functional testing, model validation, calibration procedures capable of dealing with data shift and context change?

Learning, reasoning and optimisation. How to integrate AI paradigms and representations for reasoning, learning and optimisation in order to support trustworthy AI? Integrated approaches to learning, reasoning and optimisation should allow AI systems to bridge the gap between low-level perception and high-level reasoning, to combine knowledge-based and data-driven methods, to explain their behaviour and allow for introspection of the resulting models.

Deciding and Learning How to Act. How to empower an AI system with the ability of deliberating how to act in the world, reasoning on the effects of its actions, learning from past experiences, as well as monitoring the actual or simulated outcome of its actions, learning from possibly unexpected outcomes, and again reasoning and learning how to deal with such new outcome?

Reasoning and Learning in Social Contexts. Agents should not reason, learn and act in isolation. They will need to do it with others and among others. So, this topic is  concerned with how AI systems should communicate, collaborate, negotiate and reach agreements with other AI and (eventually) human agents within a multi-agent system (MAS).

AutoAI. How to build AI tools, systems and infrastructure that are performant, robust and trustworthy including having the ability to configure and tune itself for optimal performance? How can we support (1) people with limited AI expertise and (2)  highly-skilled experts in building such AI systems?

Call for Papers

We welcome submissions to the workshop of the following types:

Presentations of relevant work that has recently been published or has already been accepted for publication in journals such as AIJ, JAIR, JMLR, MLJ, and major conferences such as AAAI, ICML, IJCAI, NeurIPS, SIGKDD, etc. The submission should in this case only consist of a copy of the accepted paper.

Long papers reporting on new material. Papers can be at most 16 pages in the Springer LNCS format. Please note that also shorter papers are welcome.
Extended abstracts that report on novel and preliminary ideas. Extended abstracts can be at most 6 pages in LNCS format.
Short position statements on the topic of the workshop, at most 6 pages in LNCS format.
The workshop is interested in foundational as well as more applied contributions. What matters most is that they address at least one the main topics of the workshop: foundations of trustworthy AI and the integration of learning, optimisation and reasoning.

Both long and short papers must be formatted according to LNCS Guidelines and submitted electronically through EasyChair.

Publication proceedings: The papers accepted for TAILOR 2020 will be published in a Springer LNCS post proceedings.

1st TAILOR Workshop at ECAI 2020, 29-30 August, Santiago de Compostela

Conference website: https://liu.se/en/research/tailor
Submission link: https://easychair.org/conferences/?conf=tailor2020
Submission deadline: June 4, 2020 (Anywhere on Earth)
Notification of acceptance:  June 23, 2020 (Anywhere on Earth)
Camera ready paper: July 23, 2020 (Anywhere on Earth)
PDF Call For Papers 1st TAILOR Workshop 2020

Important dates

Submission deadline: June 4, 2020 (Anywhere on Earth)
Notification of acceptance: June 23, 2020 (Anywhere on Earth)
Camera ready paper: July 23, 2020 (Anywhere on Earth)
1st TAILOR Workshop at ECAI, 4-5 September, 2020 

Workshop Chair

Fredrik Heintz, fredrik.heintz@liu.se, Linköping University, Sweden  


Luc De Raedt, KU Leuven, Belgium Peter Flach, University of Bristol, UK Hector Geffner, ICREA and Universitat Pompeu Fabra, Spain Fosca Giannotti, National Research Council, Pisa, Italy Holger Hoos, Leiden University, The Netherlands Michela Milano, University of Bologna, Italy Barry O’Sullivan, University College Cork, Ireland Ana Paiva, University of Lisbon, Portugal Marc Schoenauer, INRIA, France Philipp Slusallek, DFKI, Germany Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands  

Program Committee

Maria Garcia De La Banda, Monash University, Australia Randy Goebel, U Alberta, Canada Lars Kotthoff, University of Wyoming, USA Andrea Lodi,  École Polytechnique de Montréal, Canada Francesca Rossi, IBM, USA   Sylvie Thiebaux, ANU, Australia Pascal Van Hentenryck, Georgia Institute of Technology, USA


29 Aug 2020


08:00 - 18:00