Location
- Stockholm, 16 November 2022
- Location: Grand Hôtel (Södra Blasieholmshamnen 8, 103 27 Stockholm)
- Rooms Uppsala (coffee breaks, lunch, poster exhibition) and New York (conference)
Organizers
- Virginia Dignum (Umea University Sweden)
- Paul Lukowicz (DFKI)
- Albrecht Schmidt (LMU Munich)
- John Shawe-Taylor (UCL)
Event Contact
Background
The European HumanE AI Network aims to leverage the synergies between the involved centers of excellence to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and that adheres to European ethical values and social, cultural, legal, and political norms. The core challenge is the development of robust, trustworthy AI systems capable of what could be described as “understanding” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The aim is to facilitate AI systems that enhance human capabilities and empower individuals and society as a whole, while respecting human autonomy and self-determination.
This conference aims at present and highlights the research directions, methods and results of the network’s activities, with a specific focus on our micro-projects: our unique collaboration model that allows agile interaction between partners, interfacing related activities outside the project and easy engagement with researchers outside the consortium.
The conference will take place at the Grand Hotel in Stockholm on 16 November 2022, as a twin event with the 3rd Conference on AI for Humanity and Society (AI4HS) organised by WASP-HS in the same location on 17 November 2022. All participants are invited to attend both conferences (please note you need to register separately to the AI4HS conference).
All HumanE AI network members and collaboration partners are invited to submit a proposal for the HumanE AI conference. All micro projects (past and current) are strongly advised to submit.
Programme
Time | Speaker | Description |
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08.00-09.00 | Participants are welcome to pin their posters on the poster boards (room Uppsala) | |
09.00-09.15 | Paul Lukowitz | Welcome and Introduction |
09.15-10:00 | Danica Kragic Jensfelt | “We can use Robots: acting and interacting” |
10.00-11:00 | Poster session and coffee break (room Uppsala) | Posters (see list below): either presented as poster or on laptop |
11:00-12:30 | Paper session | “Humans and AI” |
Jonne Maas, Luís Gustavo Ludescher and Juan M Durán | The Role of an AI Designer: design choices and their epistemic and moral limitations | |
Inês Lobo, Inês Batina, Jennifer Renoux, Janin Koch and Rui Prada | A Human-AI Collaboration Study using the Geometry Friends Game | |
Inês Lobo, Diogo Rato, Rui Prada and Frank Dignum: Socially Aware Interactions | From Dialogue Trees to Natural Language Dialogue Systems | |
Sahan Bulathwela, María Pérez Ortiz, Erik Novak, Daniel Loureiro, Emine Yilmaz, Joao Vinagre, Alípio Jorge and John Shawe-Taylor | Towards Educational Recommenders with Computational Narratives | |
Maria Tsfasman, Kristian Fenech, Morita Tarvirdians, Andras Lorincz, Catholijn Jonker and Catharine Oertel | Towards creating a conversational memory for long-term meeting support: Predicting memorable moments in multi-party conversations through eye-gaze | |
12:30-13:30 | Lunch (room Uppsala) | |
13:30-14:15 | Panel with HAI-net responsible AI board and others | Trustworthy HAI |
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14:15-15:30 | Paper session 2 | “XAI/Fairness/Ethics” |
James Crowley Comprehension, Explanation and Learning | Core Research Challenges for Collaborative AI | |
Ali A. Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Mustafa Mert Çelikok, Frans A. Oliehoek and Samuel Kaski | AI-assistant to mitigate confirmation bias in cooperative Bayesian optimization | |
Elisabeth Stockinger, Anna Jonsson, Luís G. Ludescher, Jonne Maas and Virginia Dignum | A Value-Based Political Guidance Model | |
Fosca Giannotti and Dino Pedreschi | Reporting on the results of the ADG-ERC XAI project: Science and Technology for eXplanation of AI bases decision-making | |
János Kertész, Letizia Milli, Virginia Morini, Valentina Pansanella, Dino Pedreschi, Giulio Rossetti and Tiziano Squartini | Investigating polarization: cognitive and algorithmic biases and external effects on opinion formation | |
15:30-16:00 | Break (room Uppsala) | |
Paper session 3 | “ML/NLP/KR” | |
Bettina Fazzinga, Andrea Galassi and Paolo Torroni | A Privacy-Preserving Dialogue System Based on Argumentation | |
Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello and Antonio Bencini Farina | Explaining Crash Predictions on Multivariate Time Series Data | |
Francesco Pisani, Luciano Caroprese, Bruno Veloso, Matthias König, Giuseppe Manco, Holger Hoos and Joao Gama | A Graph-Based Drift-Aware Data Cloning Process | |
Nina Khairova, Fabrizio Lo Scudo, Bogdan Ivasiuk, Andrea Galassi, Carmela Comito, Giuseppe Manco, Raivis Skadins and Paolo Torroni | An Event-based Dataset around Russia’s Invasion of Ukraine News coverage | |
Lorenzo Valerio, Chiara Boldrini, Andrea Passarella, Janos Kertesz and Gerardo Iniguez | Social AI Gossiping | |
Alessandro Daniele, Emile van Krieken, Luciano Serafini and Frank van Harmelen | Refining neural network predictions using background knowledge |
Posters
- Annalisa Bosco, Matteo Filippini, Davide Borra, Elsa A. Kirchner and Patrizia Fattori Prediction of static and perturbed reach goals from movement kinematics.
- Sencer Melih Deniz, Hamraz Javaheri, Juan Felipe Vargas, Dogan Urgun, Fariza Sabit, Mahmut Tok, Mehmet Haklidir, Bo Zhou and Paul Lukowicz Neural Mechanism in Human Brain Activity During Weight Lifting
- Jennifer Renoux, Neziha Akalin, Joana Campos, Filipa Correia, Lucas Morillo-Mendez, Fernando P. Santos and Ana Paiva The impact of game outcomes and Agent-based Feedback on Prosociality in Social Dilemmas
- Lorenzo Bellomo, Virginia Morini, Giulio Rossetti, Dino Pedreschi and Paolo Ferragina Source Selection Bias in the European Media Landscape
- Lorenzo Bertolini and Julie Weeds Testing Large Language Models on Compositionality and Inference in the Absence of Biases
- Inês Lobo, Diogo Rato, Rui Prada, Giulia Andrighetto and Eugenia Polizzi Using Dictator Game Data to Identify Patterns of Behaviour and Beliefs on Norms
- Jan Hajic, Zdenka Uresova, Eva Fučíková, Karolina Zaczynska, Peter Bourgonje and Georg Rehm Multilingual Event-Type-Anchored Ontology for Natural Language Understanding
- Jan Hajic, Zdenka Uresova, Eva Fučíková, Thierry Declerck, Marco Rospocher, Francesco Corcoglioniti and Alessio Palmero Aprosio Multilingual SynSemClass for the Semantic Web
- Helena Lindgren Managing Breakdown Situations and Co-Creating We-Intention in Human-AI Collaboration for Improving Health
- Antti Oulasvirta, Julien Gori and Firooz Hossein Optimal Alerting
- Andreas Theodorou, Juan Carlos Nieves and Virginia Dignum AI and the lack of Sustainable Development
- Sahan Bulathwela, Shenal Pussegoda, Maria Perez-Ortiz, Davor Orlic, Emine Yilmaz, Yvonne Rogers and John Shawe-Taylor X5LEARN: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Interface for Access to Openly Licensed Educational Materials
- Bruno Veloso, Luciano Caroprese, Matthias König, Giuseppe Manco, Holger Hoos and Joao Gama Online Deep-AUTOML
- Sebastian Stefan Feger, Andrea Esposito, Giuseppe Desolda and Florian Müller Making for Everyone: Requirements Research on Voice-Based Digital Modeling
- Carmela Comito, Andrea Galassi, Bogdan Ivasiuk, Nina Khairova, Fabrizio Lo Scudo, Giuseppe Manco, Raivis Skadins and Paolo Torroni Comparative analysis of Ukranian war news: automatic detection of opinions, sentiment, and propaganda
- Richard Benjamins, Javier Carro, Pedro A. de Alarcón, Luis Suárez, Luis Lamiable and Andrés Herguedas García Internet of Things and Artificial Intelligence to Improve air quality in cities
- Pierpaolo Resce, Lukas Vorwerk, Zhiwei Han, Giuliano Cornacchia, Omid Isfahani Alamdari, Mirco Nanni and Luca Pappalardo Connected Vehicle Simulation Framework for Parking Occupancy Prediction
- Lorenzo Bertolini, Valenitna Elce, Giulio Bernardi and Julie Weeds Towards Automatic Scoring of Dream Reports
- Dimitris Pappas, Ioannis Lyris, George Kountouris and Haris Papageorgiou A Neurosymbolic Question Answering System Combining Structured and Unstructured Biomedical Knowledge
- Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi and Luca Pappalardo How Routing Strategies Impact Urban Emissions
- Ana Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi and Joao Gama Methods and Tools for Causal Discovery and Causal Inference
- Jesus Cerquides, Mehmet Oğuz Mülâyim and Jose Luis Fernandez-Marquez Crowdnalysis: a Python library for consensus in citizen science crowdsourcing projects
- Victor Schetinger, Silvia Miksch, Thomas Eiter, Rafael Kiesel and Yuanting Liu The Combinatorics of HumaneAI Kristian Fenech, Sean Bergeron, Ádám Fodor, Rachid Saboundji, Catharine Oertel and Andras Lorincz Automatic estimation of the perceived personality of small groups