Andreas Herzig (Université Paul Sabatier, Toulouse) and Emiliano Lorini (Institut de Recherche en Informatique de Toulouse) are the organizers of a workshop on Explanation and Epistemic Reasoning, which will be in Toulouse on 5-6 December 2022.

The workshop is related to several projects: TAILOR, the French-Italian project LEXIA, the ERC project CompuLaw, ANITI (Artificial and Natural Intelligence Toulouse Institute), and the French-Spanish project LIANDA.

The first day of the workshop will be mainly focused on explanation in the context of legal reasoning, while the second day will explore the connection between explanation and knowledge. The programme (TBD) can be found on the webpage: https://sites.google.com/view/lexiaworkshop/home?authuser=0

The 4th ALIGNER Workshop will be held online on November 30th and December 1st between the hours of 10.00hrs and 15.00hrs CET.

The EU-funded ALIGNER project aims to unite European actors who have concerns about AI, law enforcement and policing to jointly identify and discuss how to enhance Europe’s security whereby AI strengthens law enforcement agencies while providing benefits to the public.

ALIGNER is committed to undertaking regular participative workshops throughout the three years of the project to inform and shape the outcomes of the project. Until now, ALIGNER held three workshops to 

• gather input on relevant scenarios for the use and misuse of artificial intelligence;
• get an initial overview of the current use, potential, and hurdles for using artificial intelligence in law enforcement; and 
• get feedback on initial ideas for technological, ethical, and legal impact assessments.

In this fourth workshop, ALIGNER aims to take these results and deepen discussions. On the first day, the workshop will focus on the initial policy recommendations of ALIGNER with a spotlight on the EU AI Act. On the second day, the project will go deeper into impact assessments with hands-on exercises to provide feedback on our methods.

Here below the agenda:

If you want to take part in this workshop, please use the following link to register for the event: ibit.ly/kFsh

You will then receive the call-in details for the event a few days prior to the meeting together with the latest agenda if appropriate.

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This 10th meeting will offer two presentations. WP3 leader Umberto Straccia (ISTI-CNR) will talk about “Trustworthy AI” (see WP description). Paola Baruchelli (FBK) and Marc Schoenauer (Inria)) will present work from WP8 “Industry, Innovation and Transfer program” (link to more information in this post). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email. (Project partners can find the link here. )

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This 9th meeting will offer two presentations. WP7 leader Holger Hoos (ULEI) will talk about “Automated AI” (see WP description). Lena Tasse (LiU) will present how WP12 is working to promote the network and the network members. Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email. (Project partners can find the link here. )

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

We are pleased to announce the outline of the seventh event in our TAILOR WP7 seminar series.

Please let us know if you plan to participate by entering your name in this https://docs.google.com/document/d/11l8K15BMREmWV3PDbZ5YFg2IiYgbAxLgxS3bPPwowwA/edit.

The seminar will consist of two parts: a scientific and a social part. Below you can find a detailed overview of each part for the fourth seminar on 8 November from 15:30-17:00.

Scientific part: Zoom meeting: contact organisers for the zoom link!

15:30-16:00 — Panče Panov

Joint work with: Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Sašo Džeroski and Dragi Kocev

Abstract: The MLC task has increasingly been receiving interest from the machine learning (ML) community, as evidenced by the growing number of papers and methods that appear in the literature. Hence, ensuring proper, correct, robust, and trustworthy benchmarking is of utmost importance for the further development of the field. We believe this can be achieved by adhering to the recently emerged data management standards, such as the FAIR (Findable, Accessible, Interoperable, and Reusable) and TRUST (Transparency, Responsibility, User focus, Sustainability, and Technology) principles. To FAIRify the MLC datasets, we introduce an ontology-based online catalogue of MLC datasets that follow these principles. The catalogue extensively describes many MLC datasets with comprehensible meta-features, MLC-specific semantic descriptions, and different data provenance information. The MLC data catalogue is available at: http://semantichub.ijs.si/MLCdatasets. In addition, we provide an ontology-based system for easy access and querying of performance/benchmark data obtained from a comprehensive MLC benchmark study. The system is available at: http://semantichub.ijs.si/MLCbenchmark..  

16:00-16:30 — Round table updates for all WP7 tasks; the expectation is that each TAILOR partner with funding allocated under WP7 sends at least one representative who can give a brief update. It is understood that there may not be a substantive update on each task at every meeting.

• Each update should focus on highlighting the following:

• Recent and ongoing work, potential collaborations
• Collaboration between different tasks;
• Collaboration with other work packages;
• New collaborations (with people with whom that group has never worked with before).
• Optional: Support your round table update with a one-slide overview highlighting your ongoing and planned work by adding a slide to the google slide deck: [https://docs.google.com/presentation/d/1F-6Ctl-yQSsP5f1yYrkJETXD1DbAbvkQMh3xPCARbuk/edit#slide=id.p]. Note: To save time only slides in this deck can be used, you won’t be able to share your own screen!

Social part: GatherTown

16:30-17:00

• Optional: Provide an extra slide, poster, or other material to be shown in gather town (submit a PDF by email to a.w.bosman@liacs.leidenuniv.nl if what you want to present something)
• Suggestions for improving the seminar format
• Informal chats about possible collaborations
• Brainstorm/discuss ideas and mechanism for making our WP7 more impactful, more efficient and/or more enjoyable
• Chat about anything else you feel worthwhile!

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This 8th meeting will offer two presentations. Carles Sierra, from WP6, will present some of T6.1 “Modelling social cognition, collaboration and teamwork”, lead by the team in Barcelona, . Barry O’Sullivan (UCC) will present work from WP11 “Coordination with AI on Demand platform” (link to more information in this post). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email. (Project partners can find the link here.)

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

The 7th Conference on Artificial Intelligence and Finance will take place at at the School of Management and Law of the Zurich University of Applied Sciences (ZHAW) in Winterthur, Switzerland on September 28, 2022.

The conference is organized by the Institute of Applied Mathematics and Physics (IAMP), the Centre for Artificial Intelligence (CAI), the Institute of Data Analysis and Process Design (IDP) at the School of Engineering, and the Institute of Wealth & Asset Management (IWA) at the School of Management and Law of the Zurich University of Applied Sciences (ZHAW).

The aim of this conference is to bring together academics, young researchers, students and industrial practitioners to discuss the application of Artificial Intelligence in Industry and Finance.

The conference consists of three streams of presentations that focus on the following fields:

• Artificial Intelligence in Finance
  Artificial Intelligence and Fintech challenges for the European banking and insurance industry.
• Artificial Intelligence in Industry
  Artificial Intelligence challenges of European companies from the mechanical and electrical industry, but also life sciences.
• Ethical Questions in Artificial Intelligence
  Issues arising in AI applications such as trust, explainability, neutrality, responsibility, moral consequences of algorithmic decisions.
• Academia-Industry Best Practices: General discussion of issues arising in academia-industry cooperations, and the role of Innosuisse in supporting these cooperations

If you want to find out more about the program or register, visit the conference homepage.

We are pleased to announce the outline of the sixth event in our TAILOR WP7 seminar series.

Please let us know if you plan to participate by entering your name in this Seminar 6 main doc [TAILOR WP7].

The seminar will consist of two parts: a scientific and a social part. Below you can find a detailed overview of each part for the fourth seminar on 27 September from 15:30-17:00.

Scientific part: Zoom meeting: https://universiteitleiden.zoom.us/j/61008083679?pwd=TjNXcHN5RnllYjRLS3ovY1ZxMUZaUT09 – Meeting ID: 610 0808 3679 – Passcode: i!&gA1Xn

15:30-16:00 — Talk by Dragi Kocev—Meta learning from a comprehensive empirical study of multi-label classification methods

Abstract:

We present our recent work on understanding and explaining the performance of multi-label classificaion (MLC) methods across a wide range of MLC datasets. Essentially, we perform a comprehensive meta-learning study of MLC methods and datasets. Several studies provide surveys of methods and datasets for MLC, and a few provide empirical comparisons of MLC methods. However, they are limited in the number of methods and datasets considered. Here, we analyze 40 MLC data sets by using 50 meta features describing different properties of the data. The main findings of this study are as follows. First, the results of the analysis identify RFPCT, RFDTBR, ECCJ48, EBRJ48, and AdaBoost.MH as the best-performing methods across the spectrum of performance measures. Second, the most prominent meta features that describe the space of MLC data sets are the ones assessing different aspects of the label space. Third, the meta models show that the most important meta features describe the label space, and, the meta features describing the relationships among the labels tend to occur a bit more often than the meta features describing the distributions between and within the individual labels. Fourth, the optimization of the hyperparameters can improve the predictive performance, however, quite often the extent of the improvements does not always justify the resource utilization.

16:00-16:30 — Round table updates for all WP7 tasks

the expectation is that each TAILOR partner with funding allocated under WP7 sends at least one representative who can give a brief update. It is understood that there may not be a substantive update on each task at every meeting. Each update should focus on highlighting the following:

• Recent and ongoing work, potential collaborations
• Collaboration between different tasks;
• Collaboration with other work packages;
• New collaborations (with people with whom that group has never worked with before).

Social part: GatherTown 16:30-17:00

Submit a PDF by email to a.w.bosman@liacs.leidenuniv.nl if what you want to present something)

• Suggestions for improving the seminar format
• Informal chats about possible collaborations
• Brainstorm/discuss ideas and mechanism for making our WP7 more impactful, more efficient and/or more enjoyable
• Chat about anything else you feel worthwhile!

Hope to see you at the seminar!

Adem, Holger, Koen and Manuel (the TAILOR WP7 Seminar Organising Committee)

The “AI Mellontology Symposium” will be on 23 September 2022, and is focused on debating futuristic topics on AI research and social/industrial impact. The event is organized by the Aristotle University of Thessaloniki and CERTH and it is sponsored by AI4Media and ELISE. 

Symposium page

The symposium program, panel topic descriptions, and registration links can be found at http://icarus.csd.auth.gr/ai-mellontology-e-symposium-2022/

Venue & participation

The 2022 AI Mellontology Symposium will take place in the Meteoroscopy Auditorium, AUTH Campus, Aristotle University of Thessaloniki, Greece. Hybrid (local and remote) participation is foreseen. Registration is required – you can register here. 
Remote participation is free. For remote participants, a Zoom link & password will be sent after registration.
There is a very small registration fee (20 €) for in person participation or for remote participation (in case a participation certificate is requested) for people outside the AI4Media consortium.

Sponsorship

Horizon2020 AI flagship R&I projects AI4Media and ELISE, together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event.

Format

There will be 7 sessions (4 in the morning and 3 in the afternoon) where participants will debate the ‘AI future ’, namely hot AI research issues with diverse scientific, societal, legal, ethical, industrial and economic aspects. The 7 sessions will focus on the following topics:

• AI-based recommender systems: social and legal perspectives
• Collaborative AI
• Human – AI Symbiosis
• AI studies: AI PhD Excellence. AI Curriculum. AI Science and Engineering?
• Latent brain
• How AI meets human in media houses? Recommendation systems and Media
• AI Act: key elements and state of play

Session panelists will make their short statements during each panel to initiate discussion by the audience. Discussion will be informal, hopefully lively and hot, aiming to debate contrasting views (thesis-antithesis) on each issue.

You are welcome to a) watch panelist and other views and voice your own views on any panel topic, by using the ‘Voice your views’ area, b) propose your own AI grand challenge, and c) actively participate in each panel discussion. The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith.

The entire discussion and contributions will be compiled later on in a public ‘AI research white paper’ that will be used to guide R&I anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&I projects.

The end of September is a very nice time to visit Thessaloniki and its surroundings (for cultural sightseeing, swimming, grape harvesting). An optional cultural trip is foreseen on the 24th of September 2022 to visit the Royal Macedonian Tombs and Museum in Vergina and a winery in Naoussa.

For any questions, you can contact the Symposium secretary Mrs. Ioanna Koroni koroniioanna@csd.auth.gr (for organizational matters) or Prof. Ioannis Pitas pitas@csd.auth.gr  (for scientific matters).

The workshop on Trustworthy Artificial Intelligence will take place within the next European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPPKDD), which will be held in Grenoble, France from the 19th to the 23rd of September 2022.

It will be on site, but remote connections will be available for those who cannot travel. This workshop is endorsed by TAILOR and the CONFIANCE.AI program.

The extended deadline for submission of abstracts is on June 20th, 2022. The main topics are:

• AI based Critical Systems, 
• Auditability & Accountability,  
• Explainability and quantitative evaluation of Explainable AI methods, 
• Non-discrimination & Fairness,  
• Operational Domain Definition with AI, 
• Out of Distribution Detection, 
• Safety & Robustness,  
• Social Acceptance of Trustworthy AI Systems  
• System Monitoring,  
• Trustworthy AI 
• Trustworthy Human-Computer Interactions

Know more on how to register and objectives of the workshop here: https://trustworthy-ai-22.sciencesconf.org. 

The second TAILOR conference will be the first real opportunity for the TAILOR Network to meet IRL, and all partners and network members are very welcome! The conference will be about Trustworthy AI, our project and plans for the future.
Conference host is prof. Roman Bartàk at the Charles University of Prague, while prof. Fredrik Heintz is the head of the program committee.

Programme

See detailed programme.

Venue

Both the welcome reception and the conference will be held at the lovely historic building of Charles University, Faculty of Mathematics and Physics, Malostranské náměstí 25, Praha 1, Czech Republic (link to Google map) The welcome reception and main sessions will be in Lecture Room S9, on the first floor.

The conference dinner is at the newly renovated and magnificent Art Nouveau Restaurant Obecní dům, (the Municipal House Restaurant) at nám. Republiky 1090/5, Praha 1, for modern Czech cuisine and well-treated Pilsner beer.

Accomodation

The conference hotel is Hotel Pyramida. The conference venue can be reached from the hotel by a nice downhill walk (about 30 minutes) or by tram #22 (direct connection).
Prague has a very good public transport (https://www.dpp.cz/en), it covers airport as well (by a bus). The major attractions in city center are in walking distance from the conference venue.

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This seventh meeting will offer two presentations. WP5 (see WP description) scientist Hector Geffner (UPF) will talk about “Top-down representation learning for acting and planning”.
Abstract: Recent breakthroughs in AI have shown the remarkable power of deep learning and deep reinforcement learning. These developments, however, have been tied to specific tasks, and progress in out-of-distribution generalization has been limited. While it is assumed that these limitations can be overcome by incorporating suitable inductive biases in neural nets, this is left vague and informal, and does not provide  meaningful guidance. In this talk, I articulate a different learning approach where representations are learned over domain-independent target languages without requiring background knowledge, and illustrate the general approach by considering three key learning problems in AI planning: learning general actions models, learning general policies, and learning general subgoal structures (“intrinsic rewards”).

Joaquin Vanshoren (TU/e) will present work from WP10 “Connectivity Fund” (link to more information on WP page).

Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email. (Project partners can find the link here. )

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.