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Event Description

Details are coming soon :)

Contribution 1: Workshop on #EuroGen: Mapping the Future with Generative AI

  • 35+ experts from the networks of excellence, ADRA, AI4Europe and the European commission attended and contributed to identifying core research challenges for advancing GenAI in Europe.
  • We had 4 experts talks about the core challenge for GenAI in Europe: Paul Lukowicz (DFKI) spoke about grounding GenAI in real world. Rudolph Triebel (DLR) and Michael Beetz  (DLR) complemented the vision and spoke about ways to give robots perception and cognition. John Shaw-Taylor concluded the pitches and spoke about human-centred human-AI collaboration.
  • Given the recent funding initiatives by the European Commission, which aim to allocate 3 billion euros towards the development of GenAI until 2027, we have identified the most pertinent scientific challenges to advance GenAI in Europe: low-resource multimodal GenAI, human-robot interaction and physical grounding of AI in real world.
  • Identifying the top application areas from the domains proposed by the European Commission that can benefit from GenAI: health, digital industry & climate change.

 

Contribution 2: Panel on Harnessing Generative AI for Inclusive Global Education

 

Contribution 3: Sharing experiences about using AI on Demand

 

Organizers

Event Contact

Background

Follow-up Tutorial on the final text of the AI Act, with a focus on the introduction of legal obligations for the placing on the market or putting into use of General Purpose AI Models and General Purpose AI Systems and their relevance for Human-Centric AI.
The Tutorial builds on the HAI-NET Tutorial of 2021, explaining the structure of the proposal of the AI Act. See here to access the 2021 Tutorial.
The 28 June 2024 Tutorial will be based on the final text of the AI Act, that is in force from 10 July 2024, and become applicable within two years, depending on which part. See for the final text here.
The objectives of the Tutorial are to help computer scientists better understand
  • the main goals of the Act in the context of the EU internal market (harmonisation)
  • the applicability with regard to General Purpose AI Models and Systems (new compared to the 2021 proposal)
  • some of the legal obligations with respect to the design of these models and systems
  • the relevance of the AI Act for human-centric AI models and systems
You can find the recording of the Tutorial here.
After the Tutorial we have finalised a series of seven audio-slide-decks, which you can find below:
1. Objectives of the Tutorial and the AI Act
2. Defining AI Systems and GPAO Models
3. Obligations of providers of GPAI Models
4. Defining GPAI Models with systemic risk
5. Obligations of providers of GPAI Models with systemic risk
6. Obligations of providers of GPAI systems
7. Relevance for human-centric AI

organized by Prof. Mireille Hildebrandt and Dr. Gianmarco Gori
Research Group of Law, Science, Technology & Society studies (LSTS)
Vrije Universiteit Brussel

12.00 – 14.00 Online
Those who wish to register should send an email to Bert.Frans.P.De.Bisschop@vub.be by Thursday 27 noon CEST.
They will receive the link on Friday morning.

 

The Tutorial is organised by the Legal Partner of the HAI-NET. The focus will be on the introduction of legal obligations for placing on the market or putting into use  General Purpose AI Models and General Purpose AI Systems.

The Tutorial will build on the HAI-NET Tutorial of 2021, explaining the structure of the proposal of the AI Act. See here to access the 2021 Tutorial: http://www.vernon.eu/wiki/AI_Act_Tutorial.

The 2024 Tutorial will be based on the final text of the AI Act, that will be in force within weeks from now (June 2024), and become applicable two years after that (though some parts will become applicable earlier). See for the final text: https://data.consilium.europa.eu/doc/document/PE-24-2024-INIT/en/pdf

The objectives of the Tutorial are to help computer scientists better understand:

  • the main goals of the Act in the context of the EU internal market (harmonisation)
  • the applicability with regard to General Purpose AI Models and Systems (new compared to the 2021 proposal, targeting Large Whatever Models)
  • some of the legal obligations with respect to the design of these models and systems
  • the relevance of the AI Act for human-centric AI models and systems

We need to emphasise that our objective is to give our audience a first taste of the legal regime that applies to real world human-centric AI systems that integrate generative AI. For more an in-depth understanding we refer to the report that Dr. Gori is preparing and to the Chapter that Dr. Gori and Prof. Hildebrandt are co-authoring on the subject in the Handbook of Generative AI for Human-AI Collaboration, eds. Mohamed Chetouani, Andrzej Nowak and Paul Lukowicz (Springer forthcoming).

Organizers

Event Contact

Programme

Time Speaker Description
12.00-14.00 Dr. Gianmarco Gori and Prof. Mireille Hildebrandt Prof. Mireille Hildebrandt is a Research Professor of 'Interfacing Law and Technology' at the Law & Criminology Faculty at Vrije Universiteit Brussels and holds the Chair of 'Smart Environments, Data Protection and the Rule of Law' at the Science Faculty of Radboud University in the Netherlands. Dr. Gianmarco Gori is a guest professor and postdoctoral researcher at the Research Group of Law Science Technology and Society (LSTS) at the Law Faculty of Vrije Universiteit Brussel.

Background

In this tutorial we will focus on the extent to which Generative AI, based on ‘Large Whatever Models’, falls within the scope of the AI Act and on the kind of legal obligations that should be taken into account by the developers of Generative AI that is meant to contribute to human-centric AI.

To this end we will first unpack the legal definitions of General Purpose AI Models (GPAI Models) and General Purpose AI Systems (GPAI Systems) and explain what kind of models qualify as GPAI models and what kind of systems qualify as GPAI systems. This will be followed by an inquiry into when a GPAI system is – legally speaking – a high risk AI system and into when a GPAI model is – legally speaking – an AI model generating systemic risk.

Second, we will elicit a small set of requirements that must be met by providers and/or deployers of GPAI Systems that integrate GPAI Models. As the HAI-NET is focused on contributing to real world human-centric AI, we will not focus on the research exemption that may apply to HAI-NET research. The whole point of legal protection by design is to ensure that such protection is built into the design phase. This means that developers must be aware of the requirements that providers and/or deployers of real-world applications of their models face.

Finally, we need to emphasise that our objective is to give our audience a first taste of the legal regime that applies to real world human-centric AI systems that integrate generative AI. For more an in-depth understanding we refer to the HAI-NET report that Dr. Gori is preparing on the subject and to the Chapter that Dr. Gori and Prof. Hildebrandt are co-authoring in the Handbook of Generative AI for Human-AI Collaboration, eds. Mohamed Chetouani, Andrzej Nowak and Paul Lukowicz (Springer forthcoming).

Background

The “AI in Africa & SDGs: Bridging Networks and Fostering Climate Action” workshop, hosted by Naixus, aims to harness Artificial Intelligence (AI) for advancing Sustainable Development Goals (SDGs) with a focus on climate action in Africa. This event features a Half-Day Workshop exploring AI’s role in climate resilience, sustainable agriculture, and policy support for SDGs, alongside a Discovery Workshop facilitating brief, impactful presentations on AI innovations for SDGs. Designed to stimulate discussion, encourage collaboration, and showcase AI solutions, the workshop seeks to connect researchers, practitioners, policymakers, and communities across Africa.

By highlighting successful AI projects and fostering knowledge exchange, this initiative endeavors to strengthen networks for AI and SDGs in Africa, outline actionable strategies for leveraging AI in climate action, and contribute to the achievement of SDGs through innovative technological applications. Open to a wide range of participants, the workshop is a step towards creating a sustainable future through the intersection of AI technology and sustainable development in Africa.

Organizers

Event Contact

Programme

Time Speaker Description
09:00 John Shawe-Taylor, Davor Orlic and Essa Mohamedali Welcome and Opening Remarks
09:00 – 09:30 Joao Pita Cost, IRCAI, and Mustapha Zaouni, AI Africa Building an African Water Observatory from Open Data and AI
09:30 – 10:00 Simon Ndogo Ndung’u, Kabarak University A Data-driven Model for Sustainable Deployment of Water Resources in Africa
10:00 – 10:30 Victor Magnus Oldensand, Tanzania AI Community Twiga: the RAG-backed WhatsApp bot for Tanzanian Teachers
10:30 – 11:00 Coffee Break
11:00 – 11:30 Essa Mohamedali, Tanzania AI Community Improving the Use of Integrated Management of Childhood Illness Protocols in Tanzania
11:30 – 12:00 Nirel Kadzo, CMU Africa "Hello Afrika”, Speech Commands in Kinyarwanda
12:00 – 12:30 Gabriel Isaac Lacson Ramolete, Aboitiz Data Innovation Opportunities for Property Valuation and Sustainable Growth with Machine Learning and Alternative Data in Kenya
12:30 – 13:00 Amal Nammouchi,
Sabrina Amrouche, AfriClimate AI		 Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
13:00 – 13:30 Edmond Anthony Ng’walago Determination the use of digital tools solving energy-water inefficiency of irrigation systems

 

The EU-funded HumanE-AI-Net project unites leading European research centers, universities, and industrial enterprises into a network of excellence. This collaboration involves top global artificial intelligence (AI) laboratories working with key players in fields such as human-computer interaction, cognitive science, social science, and complexity science. The project aims to push researchers beyond their specialized domains and connect them with those exploring AI on a broader scale. The challenge is to develop robust, trustworthy AI systems that can understand humans, adapt to complex real-world environments, and interact appropriately in complex social settings. HumanE-AI-Net will establish the principles for a new science of AI grounded in European values and designed to be more relatable to Europeans.

The meeting is planned as follows:

  • 8 April: Integration workshops for the macro-projects. All macro-project participants are expected to attend. The workshop is expected to be hands-on, leading to concrete improvements in the work.
  • 9 April: General project meeting, including short presentations of each macro-project. Representatives of each partner are expected to attend. There is a possibility for the macro-projects to continue their work in parallel to the project meeting.

HumaneAI-Net project meeting in Sweden
HumaneAI-Net project meeting in Sweden
HumaneAI-Net project meeting in Sweden

Organizers

Event Contact

Programme

Time Speaker Description
13:00 Armin Barbalata Joint welcome of the organizers
13:10 Prof. Dr. Alexander Pretschner Introduction to AI
13:40 Nicole Höss Examples from medium sized companies
14:05 Johanna Fahrnhammer Make or Buy? Two examples of collaboration with start-ups
15:15 Dr. Martin Häusl Generative AI: An introduction
15:30 Johanna Fahrnhammer Workshop "Experience AI Introduction"
16:30 Closure & Networking

Background

Artificial intelligence (AI) is one of the most important cornerstones of digitalization as a key technology. Due to the emergence of generative AI solutions such as ChatGPT, Google Bard and DALL-E, the topic has noticeably broadened its potential. The possible applications in a wide variety of industries and business areas are diverse. The benefits for companies should not be neglected, however, as AI can be used to save resources, increase efficiencies and develop entirely new business models.

To make AI more tangible for businesses, the annual conference “AI for SMEs” will take place on October 26, 2023. Join us and receive numerous impulses through expert presentations and best practices. Look forward to learning how other companies have implemented AI, what funding opportunities are available, how you can implement AI yourself, and more. Also, take the chance to network with experts and other AI-interested people in our networking area!

Prof. Dr. Alexander Pretschner, scientific director and speaker of fortiss GmbH, asks the crucial question during his talk "When is AI good (enough)?" How "well" does AI work, and when does it work well enough? We prefer to use machine learning, currently the most successful form of AI, for problems that we cannot describe precisely ("Detect pedestrians!" or "Give useful answers to arbitrary questions!"). The question of the quality of corresponding systems is a very difficult one from the outset. He argues that it is often useful and sometimes not – and what that means for the application of Machine Learning in practice.

Organizers

Event Contact

  • Florian Waldeck (LUCE)

Programme

Time Speaker Description
Introduction to AI Alexander Pretschner Introduction to AI

Background

Results from existing AI research projects and digitization solutions from the development and research environment will be presented.

You will also get to know the new Bavarian Center for Software Innovation: Its partners OTH Amberg-Weiden, TH Ingolstadt and fortiss GmbH will present current trends in software development and AI that you can use for your own benefit.

Organizers

  • Frank Dignum (UMU)
  • Virginia Dignum (UMU)

Event Contact

  • Frank Dignum (UMU)

Programme

Time Speaker Description
12.15 Carlos Zednik Upcoming seminar Friday 6 October: Does Explainable AI Need Cognitive Models?

Background

#frAIday is a series of inspiring talks on Artificial Intelligence organised by TAIGA, the Centre for Transdisciplinary AI at Umeå University. Participating in #frAiday is your opportunity to share your knowledge about AI, learn more, and discuss a wide range of perspectives on AI. Join, and meet new interesting people!

The HumaneAI project partners will be presenting the project progress at our second review with the European Commission. After 24 months of successful implementation, the consortium will have the chance to showcase their impressive results at our review meeting, which took place on 2nd October 2023.

00:20 09:00 09:20 Tour de table
00:30 09:20 09:50 Overall progress overview
01:00 09:50 10:50 WP1/2 progress overview
00:20 10:50 11:10 break
00:30 11:10 11:40 WP4 progress overview
00:30 11:40 12:10 WP5 progress overview
01:00 12:10 13:10 WP6/7 progress overview
01:00 13:10 14:10 lunch
00:30 14:10 14:40 WP3 progress overview
00:30 14:40 15:10 WP8 progress overview
00:20 15:10 15:30 break
00:30 15:30 16:00 WP9 progress overview
00:20 16:00 16:20 WP10/11+Summary
00:30 16:20 16:50 reviewers internal discussions
00:20 16:50 17:10 feedback/discussion

In this half-day workshop, we highlight various research opportunities and career paths for excellent researchers in the field of computing, with reflections on gender equality and diversity. We have invited a select number of successful researchers from industry and academia, who will take the stage to share their perspectives and unique insights into their careers and research domains. With this event we aim to foster mentorship in career development for young (female) researchers by establishing and strengthening a network of Women* in Computing.

Agenda

11:00-12:00 Discussions on the Workshop Series (SFB-internal)
12:00-12:30 Opening and Welcome (with finger food)
13:00-13:30 Flash introductions
13:30-15:30 Speaker session I

  • Andrea Volkamer (Saarland University)
  • Miriam Butt (University of Konstanz)
  • Sarah Völkel (Google)
15:30-16:00 Coffee break
16:00-18:00 Speaker session II

  • Enxhi Gjini (Takeda)
  • Andrea Šipka (DFKI)
  • Passant Elagroudy (DFKI)
18:00-18:30 Group discussions (with finger food)
18:30-19:00 Concluding discussion and closing
20:00-22:00 Working dinner: Planning WiC ‘24 (organizers + speakers)

Hybrid Human Artificial Intelligence (HHAI2023) is the second international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.

Find the program here and an overview of all papers here.

HHAI2023 is organised by the Dutch Hybrid Intelligence Center and the European HumaneAI Network, as the second conference in what we intend to become a series of conferences about Hybrid Human Artificial Intelligence.

HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.

This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others.

In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.

The second International Conference on Hybrid Human-Artificial Intelligence
The second International Conference on Hybrid Human-Artificial Intelligence

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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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