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Beyond ChatGPT:

How Can Europe Get Ahead in Generative AI?

Our goal is to facilitate a European brand of trustworthy, ethical AI that enhances Human capabilities and empowers citizens and society

  When? Thursday, May 25th (14:00 - 16:00)
  Where? Brussels, Belgium @ the European Parliament | Room A5G1

Paul-Henri Spaak Building, Rue Wiertz 60, 1047 Brussels, Belgium
  What? In-person event (by invitation) + Public Online Event (by registration)
  How to Register? Fill out this form to get the streaming link (Deadline: Tuesday, May 23rd)

Learn about the Meeting Outcomes

Agenda

 

The event is moderated by Ms. Lenneke Hoedemaker.

Please note that the agenda is subject to minor changes

 

14:00 Welcome and setting the stage: State of Play in European Regulation on Artificial Intelligence by Irena Joveva MEP, Committee on Culture and Education.
14:10 Welcome from ICT 48 AI Project Coordinators
  • Humane AI represented by Paul Lukowicz, DFKI.
  • ELISE represented by  Cees Snoek, University of Amsterdam, Netherlands.
  • TAILOR represented by Fredrik Heintz,  Linköping University, Sweden.
  • AI4Media represented by Ioannis Kompatsiaris, CERTH 
14:25 Scientific Foundations of Large Language Models (LLMs) by Hermann Ney, RWTH Aachen, Germany.
14:40 Panel on Industrial and Research Potential of AI in Europe

MODERATOR: Lenneke Hoedemaker, Moderator and Presenter.

  • Virginia Dignum, Professor in Responsible AI, Umea University, Sweden and the Scientific Director of WASP-HS.
  • Ieva Martinkenaite, Senior Vice President and Head of Research and Innovation, Telenor Group.
  • Francesca Rossi, IBM Fellow and AI Ethics Global Leader and AAAI President.
15:10 Message from the Co-Sponsoring Organisations
  • CLAIRE and EurAI are represented by Holger Hoos, RWTH Aachen University, Germany.
  • IRCAI-UNESCO and OECD views are represented by Marko Grobelnik, International Research Centre on Artificial Intelligence (IRCAI) under the auspices of UNESCO, Jozef Stefan Institute, Slovenia.
15:20 Panel on the Societal Impact and AI Policies in Europe

MODERATOR: Lenneke Hoedemaker, Moderator and Presenter.

  • Catelijne Muller, President and co-founder of ALLAI.
  • Brando Benifei, Member of the European Parliament.
  • Clara Neppel,  Senior Director of the IEEE European office.
  • Dino Pedreschi, Professor at the University of Pisa, Italy and GPAI member.
15:55 - 16:00 Closing remarks by Cécile Huet, Deputy Head of the Unit “Robotics and Artificial Intelligence Innovation and Excellence” at the European Commission
16:30 – 18:00 Social Reception: Networking and Informal Scientific Discussions (Attendance is in-person only by invitation. The location will be shared by email.)

What is the purpose of the HumaneAI European Parliament event?

We would like to suggest a half-day event on May 25th at the European Parliament, Paul-Henri Spaak Building, Rue Wiertz 60, 1047 Brussels, Belgium, titled Beyond ChatGPT: How can Europe get in front of the pack on Generative AI Models?, organized by a broad consortium from science and civil society, including the HumanE-AI-Net European Network of Centres of Excellence in Artificial Intelligence.

HumanE-AI-Net is a research network of leading European universities, AI institutes, and corporations funded by Future and Emerging Technologies (FET) and dedicated to benefiting people’s empowerment through the scientific and technological development of AI, in accordance with European ethical, social, and cultural values.

Other European partners and communities that support this event and will be involved in its organization are the International Research Centre on Artificial Intelligence (IRCAI) under the auspices of UNESCO, the Confederation of Laboratories for Artificial Intelligence in Europe (CLAIRE), and other ICT-48 networks such as TAILOR, AI4Media, and VISION, and language projects like ELG and ELE.

The Beyond ChatGPT aims to bring together AI experts, policymakers, and other stakeholders to demystify and critically examine some of the key concepts and concerns, and to provide an opportunity for a well-grounded discussion of the question of what needs to be done to ensure that European economies and societies will benefit from the development and deployment of AI technologies, such as LLMs.

Which questions will be addressed?

  1. To which extent does Europe have the capability and capacity to compete with US-based industries on LLMs and similarly impactful AI technologies?
  2. What can and must be done to ensure European competitiveness in this area?
  3. How can we best harness the opportunities afforded by the latest AI technologies for the benefit of European economies and societies? What role does the proposed AI Act play in this context?
  4. Which of the widely debated risks are real, and how should these be addressed? Is there a need for a moratorium or similar restrictions on research and innovation in key areas of AI?

What is the rationale?

Artificial intelligence has been an intense focus of public debate in recent years, and – following recent progress in so-called large language models (LLMs), such as ChatGTP – is now an area of increasingly vigorous economic activity and societal concerns.

Europe carries the responsibility of shaping the AI revolution. The choices we face today are related to fundamental ethical issues about the impact of AI on society, in particular, how it affects labor, social interactions, healthcare, privacy, fairness, and security. The ability to make the right choices requires new solutions to fundamental scientific questions in AI and human-computer interaction (HCI).

What is the vision?

This vision closely follows the ambitions articulated by the EC in its Communication on AI:  A European brand of AI that, by design, is trustworthy, adheres to European ethical, political, and social norms, and focuses on the benefit to European citizens as individuals, European society and the European economy.  At the heart of our vision is the understanding that those ambitions can neither be achieved by legislation or political directives alone nor by traditional research in established disciplinary “silos”. Instead, it needs fundamentally new solutions to core research problems at the Interface of AI, human-computer interaction (HCI), and social science, combining theory, real-world use cases, and innovation-oriented research.

What are we trying to achieve?

The HumaneAI community aims to develop the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution to fit the above vision. Key challenges include: learning complex world models; building effective and fully explainable machine learning systems; adapting AI systems to dynamic, open-ended real-world environments achieving an in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

What will be the impact?

The HumanE AI community has mobilized a research landscape far beyond the direct project funding and brought together a unique innovation ecosystem.  This has the potential for significant disruption across its socio-economic impact areas, including Industry 4.0, health & well-being, mobility, education, policy, and finance. We aim to spearhead the efforts required to help Europe achieve a step-change in AI uptake across the economy.

Why are we the best to do it?

The project consortium, with 53 institutions across 20 European countries, advocates that Artificial Intelligence is made by us humans, European researchers and citizens, who care deeply about the future of AI in Europe and its use for the benefit of all Europeans.

HumaneAI across Europe
HumaneAI across Europe

Location: Live Digital Event
Host: STI Forum – 7th Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals
Date: 4 May 2022, 9:00 AM – 10.30 AM (ET), 02:00 PM London (GMT+1:00), 10:00 PM Tokyo (GMT+9:00)

Hosted by IRCAI and Permanent Mission of Slovenia to the UN, co-sponsored by Permanent Mission of Japan to the UN and Permanent Mission of South Africa to the UN

Download PDF Invitation->

Description

The Permanent Mission of Slovenia to the UN and the International Research Centre on Artificial Intelligence under the auspices of UNESCO (IRCAI) are organizing a side event launching a Global Network of Excellence Centres in artificial intelligence (AI) for sustainable development goals (SDGs).

AGENDA

9:00 – 9:10 ET Opening and Introduction 3 minutes each

  • Ambassador Boštjan Malovrh, Permanent Representative of Slovenia to the UN
  • Ambassador Tetsuya Kimura, Permanent Representative of Japan to the UN
  • Tshilidzi Marwala, Vice Chancellor and Principal, University of Johannesburg
  • Marielza Oliveira, Director for Partnerships and Operational Programme Monitoring, Communications and Information Sector, UNESCO

9:10 – 9:15 ET Keynote

  • Maria Fasli, UNESCO Chair in Analytics and Data Science, Executive Dean, Faculty of Science and Health at University of Essex

9:15 – 9:20 ET Introduction into the Network

  • John Shawe-Taylor, Director IRCAI

9:20 – 10:30 ET Flash talks presenting the history, aim, objectives, composition, activities, programmes, and technology focus of the Network 3 minutes each

Network portfolio and history

  • Samuel Kaski, Aalto University, ELISE Network Coordinator
  • Paul Lukowicz, DFKI, HumaneAI Network Coordinator

Network as a catalyst for research and innovation

  • Matthew Smith, Senior Program Specialist, IDRC
  • Nelson González, Head Global Impact Computing, AWS

Network solutions and evidence of impact in real-life

  • Kathleen Siminyu, Machine Learning Fellow, Mozilla Foundation
  • Nuria Oliver,  ELLIS Unit Alicante Foundation

Network connecting worldwide communities of practice

  • Ulrich Paquet, Deep Learning Indaba, DeepMind
  • Nuria Oliver,  ELLIS Unit Alicante Foundation

Network reach across all UN regions

  • Alexandre F. Barbosa, Director Cetic
  • Emmanuel Letouzé, Director Data-Pop Alliance

10.30 – 10:50  A virtual Press Conference will be organised after the event with speakers available for questions:

  • John Shawe-Taylor, Director IRCAI
  • Emmanuel Letouzé, Director Data-Pop Alliance

Organizers

Event Contact

Programme

Time Speaker Description
09:20 – 09.30 Paul Lukowicz Introduction to Humane AI Net
09:30 – 10:00 Hideki Koike Skill Acquisition and Transfer System using Computer Vision, Deep Learning, and Soft Robotics
10:00 – 10:30 Elisabeth André Augmentative Technologies for People with Special Needs
10:30 – 11:00 Shinichi Furuya Beyond expertise of experts: novel sensorimotor training specialized for expert pianists
11:30 – 12:00 Asa Ito The paradox in skill acquisition: what does it mean for a body to be able to what it could not do?
12:00 – 12:30 Albrecht Schmidt Amplifying the Human Intellect through Artificial Intelligence
12:30 – 13:00 Jun Rekimoto Human-AI Integration: Using Deep Learning to Extend Human Abilities and Support Ability Acquisition

Background

Are you interested in the latest advancements and research trends in human augmentation? Join us for the “Symposium on Interaction with Technologies for Human Augmentation” organized by LMU Munich and HumaneAI. This one-day event will feature keynotes from leading experts in the field, a lab tour with demonstrations of current research projects, and opportunities for discussion and networking. The event will be held on Monday, Feb 20, 2023 at the premises of LMU Munich. In addition, we plan to broadcast the talks for registered remote participants. Register now!

Organizers

Event Contact

Programme

Time Speaker Description
7 PM CET Start

Background

Artificial intelligence (AI) is expected to contribute over $15 Billion to the global economy by 2030 (PWC) and shape the future of human society. A critical challenge for the industry to live up to its potential is the need for more diversity in the development, research, application, and evaluation of new AI technology. With their series “Remarkable Women in AI,” the AI Competence Center at German Entrepreneurship and the Transatlantic AI eXchange invite all genders to a series of inspirational, educational, collaborative, and global discussions on gender diversity in AI – with the aim of inspiring attendees to take steps in their respective roles to address the gender gap in AI.

Target Audience
This event is directed towards all gender students, entrepreneurs and women in research institutions and corporations.

Organizers

Event Contact

Programme

Time Speaker Description
18:00 Start

Background

#ShareTheFailure - We change the view on failure.

On February 6th we will continue with FuckupNights®Munich Vol.3 Artificial Intelligence.

◉F_ckuppers tell stories about burned money, personnel decisions that led to total failure and products that had to be recalled. They tell it all, with us on stage.

🔥 The idea comes from Mexico, where five friends realized that it takes a very humid evening to let your pants down instead of adulating each other about professional successes. In other words, to tell the stories that no one includes in their résumé. Because without failure there is no success.◉

◉ CURRENT:

✅ Check-in 6:00 p.m.

✅ Start 6.30 p.m.

✅ End approx. 21.00 hrs.

This project aims to take seriously the fact that the development and deployment of AI systems is not above the law, as decided in constitutional democracies. This feeds into the task of addressing the question of incorporation of fundamental rights protection into the architecture of AI systems including (1) checks and balances of the Rule of Law and (2) requirements imposed by positive law that elaborates fundamental rights protection.

A key result of this task will be a report on a coherent set of design principles firmly grounded in relevant positive law, with a clear emphasis on European law (both EU and Council of Europe). To help developers understand the core tenets of the EU legal framework, we have developed two tutorials, one in 2020 on Legal Protection by Design in relation to EU data protection law [hyperlink to Tutorial 2020] and one in 2021 on the European Commission’s proposal of an EU AI Act [hyperlink to Tutorial 2021]. In the Fall of 2022 we will follow up with a Tutorial on the proposed EU AI Liability Directive.

Our findings will entail: - A sufficiently detailed overview of legally relevant roles, such as end-users, targeted persons, software developers, hardware manufacturers, those who put AI applications on the market, platforms that integrate service provision both vertical and horizontal, providers of infrastructure (telecom providers, cloud providers, providers of cyber-physical infrastructure, smart grid providers, etc.);

A sufficiently detailed legal vocabulary, explained at the level of AI applications, such as legal subjects, legal objects, legal rights and obligations, private law liability, fundamental rights protection; - High level principles that anchor the Rule of Law: transparency (e.g. explainability, preregistration of research design), accountability (e.g. clear attribution of tort liability, fines by relevant supervisors, criminal law liability), contestability (e.g. the repertoire of legal remedies, adversarial structure of legal procedure).

Lecture series for Tutorial 2021 AI Act
Lecture series for Tutorial 2021 AI Act

 

This tutorial explains, in the form of slides with audio, the proposal for an EU AI Act, as proposed by the European Commission in the Spring of 2021. It does not discuss the subsequently proposed amendments.

Key issues discussed are: (1) the overall architecture of the AI, (2) the pragmatic approach to the definition of AI systems (which is not about ‘AI’ but about ‘AI systems’), (3) the different roles, notably that of the providers of these systems, (4) the emphasis on high risk AI systems and (5) the details of the requirement that must be met by all high risk systems. It also explain what AI practices are prohibited and what transparency requirements must be met by a small set of AI systems.

Lectures series for Tutorial 2020 Legal Protection by Design
Lectures series for Tutorial 2020 Legal Protection by Design

Organizers

Event Contact

  • Rita P. Ribeiro (INESC TEC)

Programme

Time Speaker Description
9:00 Virginia Dignum Responsible AI: from Principles to Action

Background

The workshop intends to attract papers on how Data Science can and does contribute to social good in its widest sense.

Topics of interest include:

  • Government transparency and IT against corruption

  • Public safety and disaster relief

  • Access to food, water, sanitation and utilities

  • Efficiency and sustainability

  • Climate change

  • Data journalism

  • Social and personal development

  • Economic growth and improved infrastructure

  • Transportation

  • Energy

  • Smart city services

  • Education

  • Social services, unemployment and homeless

  • Healthcare and well-being

  • Support for people living with disabilities

  • Responsible consumption and production

  • Gender equality, discrimination against minorities

  • Ethical issues, fairness, and accountability.

  • Trustability and interpretability

  • Topics aligned with the UN development goals

The major selection criteria will be the novelty of the application and its social impact. Position papers are welcome too.

We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus.

Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.

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
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
  • Dagmar Monett (board, confirmed to attend meeting)
  • Jennifer Cobbe (board, confirmed to attend meeting)
  • Ulises Cortes (WP5)
  • John Shawe-Taylor  (WP1)
  • Albrecht Schmidt or someone from Industry (WP7)
  • Moderator: Virginia Dignum
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

  1. Annalisa Bosco, Matteo Filippini, Davide Borra, Elsa A. Kirchner and Patrizia Fattori    Prediction of static and perturbed reach goals from movement kinematics.
  2. 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
  3. 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
  4. Lorenzo Bellomo, Virginia Morini, Giulio Rossetti, Dino Pedreschi and Paolo Ferragina    Source Selection Bias in the European Media Landscape
  5. Lorenzo Bertolini and Julie Weeds    Testing Large Language Models on Compositionality and Inference in the Absence of Biases
  6. Inês Lobo, Diogo Rato, Rui Prada, Giulia Andrighetto and Eugenia Polizzi    Using Dictator Game Data to Identify Patterns of Behaviour and Beliefs on Norms
  7. Jan Hajic, Zdenka Uresova, Eva Fučíková, Karolina Zaczynska, Peter Bourgonje and Georg Rehm    Multilingual Event-Type-Anchored Ontology for Natural Language Understanding
  8. Jan Hajic, Zdenka Uresova, Eva Fučíková, Thierry Declerck, Marco Rospocher, Francesco Corcoglioniti and Alessio Palmero Aprosio    Multilingual SynSemClass for the Semantic Web
  9. Helena Lindgren    Managing Breakdown Situations and Co-Creating We-Intention in Human-AI Collaboration for Improving Health
  10. Antti Oulasvirta, Julien Gori and Firooz Hossein    Optimal Alerting
  11. Andreas Theodorou, Juan Carlos Nieves and Virginia Dignum    AI and the lack of Sustainable Development
  12. 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
  13. Bruno Veloso, Luciano Caroprese, Matthias König, Giuseppe Manco, Holger Hoos and Joao Gama    Online Deep-AUTOML
  14. Sebastian Stefan Feger, Andrea Esposito, Giuseppe Desolda and Florian Müller    Making for Everyone: Requirements Research on Voice-Based Digital Modeling
  15. 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
  16. 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
  17. Pierpaolo Resce, Lukas Vorwerk, Zhiwei Han, Giuliano Cornacchia, Omid Isfahani Alamdari, Mirco Nanni and Luca Pappalardo    Connected Vehicle Simulation Framework for Parking Occupancy Prediction
  18. Lorenzo Bertolini, Valenitna Elce, Giulio Bernardi and Julie Weeds    Towards Automatic Scoring of Dream Reports
  19. Dimitris Pappas, Ioannis Lyris, George Kountouris and Haris Papageorgiou    A Neurosymbolic Question Answering System Combining Structured and Unstructured Biomedical Knowledge
  20. Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi and Luca Pappalardo    How Routing Strategies Impact Urban Emissions
  21. Ana Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi and Joao Gama    Methods and Tools for Causal Discovery and Causal Inference
  22. Jesus Cerquides, Mehmet Oğuz Mülâyim and Jose Luis Fernandez-Marquez    Crowdnalysis: a Python library for consensus in citizen science crowdsourcing projects
  23. 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

Organizers

Event Contact

Programme

Time Speaker Description
1:00 to 4:30 pm Dr. Julian Wörmann

Background

Experts agree that artificial intelligence is as disruptive as electricity or the Internet. But what does that mean for you and your mid-sized company? Which use cases are really relevant for you? And what do you need to do to actually implement them? We would like to discuss these questions with you again this year and provide answers.

The aim of the event is to accompany small and medium-sized companies in particular as they enter the field of artificial intelligence. The benefits and potentials of the technology for your company will be highlighted, and entrepreneurs who have already successfully tackled the topic of artificial intelligence will show how AI can succeed.

Expect leading AI experts and users to share their knowledge with you, contacts to support you with your projects and questions, and interactive formats where you can learn how to harness the potential of AI for your business today.

Organizers

  • Dennis Elflein (German Entrepreneurship GmbH)

Event Contact

  • Dennis Elflein (German Entrepreneurship GmbH)

Programme

See the official website here.

Background

Solve Exciting AI Challenges at our Virtual Hackathon

Explore the world of Artificial Intelligence within one of the global industry leaders and address exciting AI challenges impacting future needs - 48h | 5 Challenges | 30 High Potentials

Join the Siemens Female Data Science Network in tackling the challenges of tomorrow’s industries and business practices. Entering our journey enables you to work with industry experts, provide your expertise and explore new horizons together. This is your opportunity, so come join our network and start hacking.

Experience the best combination of your enthusiasm and expertise in AI together with innovative Siemens departments and specialists. Starting on the 28th of September 2022, we will take you on a two-day journey of exploration and deep dive into different AI activities to give you the insights you need to tackle a specific use case within one of our five challenges.

Exciting opportunities ahead: Join us in solving the industry’s most pressing challenges! You decide where to start!

Organizers

Event Contact

Programme

Time Speaker Description
Sept, 04 Application Deadline
Oct, 25 Andreas Keilhacker Pitch Day

Background

The startup-investor matching event Cashwalk gives startups and investors a platform in an exclusive environment without any distractions to meet potential partners, and kick off prosperous relationships.

Is your startup planning the next seed or series A funding round? Then Cashwalk is your time and stage to shine! Apply by September 4 to pitch in front of 100 investors!

You will pitch your business live on the virtual stage. During networking breaks, the participating investors do have the chance to meet you at your online startup booth.

Humane AI on Social Media

EU Logo

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952026.

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