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

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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

Organizers

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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.

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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

 

Background

Hosted by the UNESCO Chair in Artificial Intelligence and UNESCO Chair on Disaster Risk Reduction and Resilience Engineering at University College London (UCL), the UNESCO UK Chairs Conference at UCL brings together distinguished UNESCO Chairs from across the United Kingdom to discuss and advance their collective contributions to science, education, and sustainable development. The two-day event will focus on the theme of activating UK expertise and building partnerships to address global challenges and contribute to the Sustainable Development Goals (SDGs).

Organizers

Event Contact

Programme

Time Speaker Description
12:30 PM – 1:00 PM John Shawe-Taylor, Dina D’Ayala Registration and Welcome Refreshments
1:00 PM – 1:15 PM ● Welcome remarks by Professor Anne Anderson, Chair, UK National Commission for UNESCO.

● Welcome remarks by Professor Nigel Tichiner-Hooker, Dean of UCL Engineering.

Introduction and Welcome
1:15 PM – 2:30 PM ● Speakers: Professor Anne Anderson, Chair, UKNC. Professor David Drewry, Vice-Chair, UKNC and Professor David Hannah, UNESCO Chair in Water Sciences, University of Birmingham.

● Speakers: Professor Dina D’Ayala, UNESCO Chair on Disaster Risk Reduction and Resilience Engineering, UCL and Professor John Shawe-Taylor, UNESCO Chair on Artificial Intelligence, UCL.

The Distinctive Contribution of UNESCO Chairs in advancing Science and Education, in line with the Sustainable Development Goals.
2:30 PM – 2:45 PM Coffee Break
2:45 PM – 3.30 PM ● Moderator: Professor Dina D’Ayala, UCL.

● Contributors: Soichiro Yasukawa, Chief of Disaster Risk Reduction Unit, UNESCO.

● Professor Richard Giulianotti, UNESCO Chair in Sport, Physical Activity and Education for Development, Loughborough University.

● Dr Nicola Gray, UNESCO Chair in Global Health and Education, University of Huddersfield.

● Professor Leon Tikly, UNESCO Chair in Transforming Knowledge and Research for Just and Sustainable Futures, University of Bristol.

● Including contributions from attendees.

Debate Discussion: Engaging and Influencing UNESCO Policy
3:30 PM – 5:00 PM ● Borhene Chakroun, Director of Policies and Lifelong Learning Systems, UNESCO

● Professor Juliet Thondhlana, UNESCO Chair in International Education and Development, University of Nottingham.

● Dr Ann Njeri, L’Oreal UNESCO fellow, Newcastle University.

● Dr Catherine Jere, UNESCO Co-Chair in Adult Literacy and Learning for Social Transformation, University of East Anglia.

● Rovani Sigamoney, Programme Specialist, UNESCO Regional Office for Southern Africa.

● Including contributions from attendees.

Activating UNESCO Chair Contributions to UK and UNESCO Priorities; including Women and Girls’ Education and Campus Africa
5:00 PM – 5:10 PM ● Professor Anne Anderson, Chair, UKNC Concluding Remarks and Next Steps Day 1
5.30 PM – 7.30 PM ● Rockefeller Building, 21 University St, London WC1E 6DE Dinner Reception at the Grant Museum of Zoology
9:00 AM – 9:30 AM Morning Coffee and Informal Networking
09:30 AM – 10:30 AM ● Presentations by UNESCO Chairs showcasing their projects and outcomes

● Emphasis on innovative approaches, research contributions, and educational impacts

● Professor Alison Phipps, UNESCO Chair in Refugee Integration through Languages and the Arts, University of Glasgow.

● Professor Robin Conningham, UNESCO Chair in Archaeological Ethics and Practice in Cultural Heritage

● Professor Ted Fuller, UNESCO Chair on Responsible Foresight for Sustainable Development, University of Lincoln.

Session Topic to be determined by Chair contributions in advance. May include; Case Studies: Innovations and Impact through UNESCO Chairs following a call for contributions that could also be included in an online repository
10:30 AM – 10:45 AM Coffee Break
10:45 AM – 11:30 AM ● John Carmichael, Head of Communications and Marketing, UKNC.

● Professor Alison Phipps, UNESCO Chair in Refugee Integration through Languages and the Arts, University of Glasgow and Professor Peter Frankopan, UNESCO Chair in Silk Roads Studies, University of Cambridge.

● Contributions from other chairs who have been successful in communicating their work.

Comms Panel Debate: Enhancing the Visibility and Impact of UNESCO Chairs
11:30 AM – 12:15 PM ● Moderator: Professor Anne Anderson

● Emphasis on innovative approaches, research contributions, and educational impacts

Follow-up and next steps, including Campus Africa engagement
12:15 PM – 13:00 PM ● Speaker: Colin de la Higuera, who in 2017, based on the project Class’Code contributed to launch in France, a UNESCO Chair in Technologies for the Training of Teachers by Open Educational Resources at the University of Nantes. Since 2020, he is Chief Equality Advocate at IRCAI. In 2021, UNESCO renewed the Chair in “Open Educational Resources and Artificial Intelligence”. Closing Keynote: UNESCO Chairs and Strategic Partnerships
13:00 PM ● Professor Anne Anderson, Chair, UK National Commission for UNESCO. Conference Close

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.

Summary

Connect after the event: Fill this form. For questions or adding to the list, email passant.elagroudt@gmail.com 

Attendance mode: CHI’24 in-person only 

Date: Tue May 14th (11:00 - 12:20) (CHI program link)

Location: Hawaii Convention Center, Room 318A

Full Proposal: [CHI24-SIG] GenAI_for_HCI

Registration: No registration is required.

Publicity: By attending the event, you consent to the capturing and sharing photos and videos taken during the event, both online and offline. The content is shared through Humane AI social media accounts (Linkedin, Facebook, X)

SIG Scope and Goal

This Special Interest Group (SIG) explores the transformative impact of Generative Artificial Intelligence (GenAI) on Human-Computer Interaction (HCI) research processes. The theme here is to answer “question zero”: when to use and when to refrain from using AI tools during the research cycle? The discussion is guided by five research phases commonly used in HCI: research planning, prototyping, data collection, analysis and synthesis, and dissemination and communication.

We investigate how GenAI accelerates project cycles, enhances reproducibility, and influences inclusivity in research. We also address the challenging ethical considerations about the ownership of generated content. We aim to build a community of HCI enthusiasts to harness the early advantages of the recent groundbreaking technology and foresee challenges arising from its prevalence in the scientific community.

Organizing Team

  1. Passant Elagroudy, Postdoc @ German Research Center for Artificial Intelligence (DFKI), Germany
  2. Jie Li, Regional Research Head   @ EPAM, Netherlands
  3. Kaisa Väänänen, Professor @ Tampere University, Finland
  4. Paul Lukowicz, Professor @ German Research Center for Artificial Intelligence (DFKI), Germany
  5. Hiroshi Ishii, Professor @ MIT Media Lab, USA
  6. Wendy E. Mackay, Professor @ ExSitu, Inria,LISN, Université Paris-Saclay, France
  7. Elizabeth F Churchill, Senior Director @ Google LLC, USA
  8. Anicia Peters, CEO @ National Commission for Research, Science and Technology, Namibia
  9. Antti Oulasvirta, Professor @ Aalto University, Finland
  10. Rui Prada, Professor @ INESC-ID,Instituto Superior Técnico, Universidade de Lisboa, Portugal
  11. Alexandra Diening, Research Head @ EPAM, Netherlands
  12. Giulia Barbareschi, Senior Assistant Professor @ Keio Graduate School of Media Design, Keio University, Japan
  13. Agnes Gruenerbl, Research Manager @ German Research Center for Artificial Intelligence (DFKI), Germany
  14. Midori Kawaguchi, Assistant Professor @ Keio University Graduate School of Media Design, Japan
  15. Abdallah El Ali, Research Scientist @ Centrum Wiskunde & Informatica (CWI), Netherlands
  16. Fiona Draxler, Postdoc @ University of Mannheim, Germany
  17. Robin Welsch, Assistant Professor @ Aalto University, Finland
  18. Albrecht Schmidt, Professor @ LMU Munich, Germany

What Should You Expect?

Please note that this is a tentative schedule. 

  • Short introduction about our motivation and background. 
  • Panel-like statements from the organizers about how GenAI will change the way we do research in the fields of:
    • Interaction design
    • Robotics
    • Haptics and Tangibles
    • User research in the industry
    • Ethics 
  • Group activity: re-imagining one of CHI’s best papers using GenAI from idea conception to publication. 
  • Collection of useful resources 

Supporting Research Networks

This work is partially supported and funded by the following entities: the HumanE AI Network under the European Union’s Horizon 2020 ICT programme (grant agreement no. 952026), national funds through FCT, Fundação para a Ciência e a Tecnologia, under project UIDB/50021/2020 (DOI:10.54499/UIDB/50021/2020), and the ERC European Research Council Advanced grant No 321135 (CREATIV: Creating Co-Adaptive Human-Computer Partnerships)

Resources

Please note that this list is not meant to be exhaustive but rather a starting point for interested individuals. We welcome contributions by others. Please email <passant.elagroudy[at]gmail.com> if you would like to add content. Please also note that this list is not intended to endorse particular solutions. 

Relevant Social Media Accounts and Organizations

  1. Razia Aliani : Linkedin account about using AI commercial tools for research
  2. Sowmiya Rani Ph.D.: Linkedin account about using AI commercial tools for scientific writing
  3. Muhammad Irfan 🧬: Linkedin account about using AI commercial tools for scientific writing
  4. Stefan Harrer, PhD: Linkedin account about AI research changing the way we do science.
  5. Asad Naveed: Linkedin account about general productivity advice for research & using GenAI tools. 
  6. Frauke Kreuter: Linkedin account for a professor discussing quantitative research methods using AI among other things. 
  7. AI4Science: microsoft research to empower the 5th research paradigm
  8. The German group for digitizing research

Relevant Contributions @CHI’24

  • CHI'24 Workshop: Workshop on LLMs as Research Tools: Applications and Evaluations in HCI Data Work  (by Marianne Aubin Le Quere, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tangi Perrault, David Mimno, Louise Barkhuus, Hanlin Li)
  • CHI'24 Workshop: Workshop on GenAICHI 2024 Workshop: Generative AI and HCI at CHI 2024 (by Michael Muller, Anna Kantosalo, Mary Lou Maher, Charles Patrick Martin, Greg Walsh)
  • CHI'24 Workshop: Workshop on Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI (by Mirjana Prpa, Giovanni M Troiano, Matthew Wood, Yvonne Coady)
  • CHI'24 Workshop: Workshop on Forms of Fraudulence in Human-Centered Design: Collective Strategies and Future Agenda for Qualitative HCI Research (by Aswati Panicker, Novia Nurain, Zaidat Ibrahim, Chun-Han Ariel Wang, Seung Wan Ha, Elizabeth Kaziunas, Maria K Wolters, Chia-Fang Chung)
  • CHI'24 Workshop: Workshop on Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants � The Third Workshop on Intelligent and Interactive Writing Assistants (by Minsuk Chang, John Joon Young Chung, Katy Ilonka Gero, Ting-Hao Kenneth Huang, Dongyeop Kang, Vipul Raheja, Sarah Sterman, Thiemo Wambsganss)
  • CHI'24 Workshop: Workshop on Human Centered Evaluation and Auditing of Large Language Models (by Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Q. Vera Liao)

Policy Documents

“Text generated from a large-scale language model (LLM) such as ChatGPT must be clearly marked where such tools are used for purposes beyond editing the author’s own text. While we will not be using tools to detect LLM-generated text, we will investigate submissions brought to our attention and will desk reject papers where LLM use is not clearly marked.”

 

Miscellaneous

Relevant Commercial Tools

Common Tasks Between Stages

💡 Common 1: Brainstorming Ideas and structures

✅ Ayoa https://www.ayoa.com/ai/

✅ JotBot https://myjotbot.com/

Jenni.ai https://jenni.ai/

✅ Paperpal Copilot https://paperpal.com/

✅ Hyperwrite https://lnkd.in/gAhVix6P

🎯Perplexity.ai: Generate research ideas & more

 

💡Common 2: Summarize, make concise, reduce word count

✅ UPDF https://updf.com/updf-ai/

✅ Semrush https://lnkd.in/gKQFmqsx

✅ Popai https://www.popai.pro/

✅ Writesonic https://writesonic.com/

✅ Quillbot https://quillbot.com/

🎯Wordtune: Paraphrase like a pro

🎯Yoodli.ai: Improve your communication

 

💡Common 3: Image creation tools

✅ Canva magic studio https://lnkd.in/gz7C8R-x

✅ Mind the graph https://mindthegraph.com/

✅ Biorender https://lnkd.in/g-RGpSvk

✅ Adobe firefly https://lnkd.in/ggArPjqE

✅ Imagine https://www.imagine.art/

✅ Inkscape https://inkscape.org/  Free vector drawing tool

 

💡Common 4: Joker (multipurpose) tools

🎯OpenAI: Source of ChatGPT and more

 

Stage 1: Research Planning

    • Use common 1: Brainstorming Ideas and Structures
    • Use common 4: joker multipurpose tools
  • 🎯Kubiya.ai: Automate your entire workflow
  • 🎯Trello: Contribute and collaborate efficiently
  • 🎯Quillbot: Quintessential research assistant
  • 🎯Xmind: Mindmapping tool

 

💡 Finding relevant literature

🎯Endnote: A robust reference manager

🎯Litmaps: Literature mapped

🎯Mendeley: A popular reference manager

🎯Zotero: My personal fav reference manager

🎯Research rabbit: Literature search made simple

🎯Scite.ai: Literature through citation statements

Stage 2: Prototyping

    • Use common 3: Image creation tools
    • Use common 4: joker multipurpose tools
  • 🎯Boomy: Make your own BGMs for talks (music)

Stage 3: Data Collection

    • Use common 3: Image creation tools
    • Use common 4: joker multipurpose tools

Stage 4: Analysis and Synthesis

    • Use common 2: Summarize, make concise, reduce word count
    • Use common 3: Image creation tools
    • Use common 4: joker multipurpose tools
  • 🎯Consensus: Accurate answers with citations
  • 🎯Fliki.ai: Text to audio conversion tool

Stage 5: Dissemination and Communication

    • Use common 1: Brainstorming Ideas and Structures
    • Use common 2: Summarize, make concise, reduce word count
    • Use common 3: Image creation tools
  • 🎯Jasper.ai: Generate, translate, Co-write text

 

💡 Creating a roadmap of the chapter content

✅ Edrawmind https://lnkd.in/gY-En2zs

✅Whimsical https://lnkd.in/g6Bw4ARh

✅ Gitmind https://gitmind.com/

✅ Taskade https://lnkd.in/gKZGWNZr

✅ MyMap https://lnkd.in/gUvJNssk

 

💡Grammar and language check tools

✅ Paperpal https://paperpal.com/

✅ Trinka https://www.trinka.ai/

✅ WordTune https://www.wordtune.com/

✅ Writefull https://www.writefull.com/

✅ WordVice https://wordvice.ai/

✅ Grammarly https://www.grammarly.com/

 

💡 Creating your presentation

🎯Decktopus: Presentation decks in minutes

🎯Boomy: Make your own BGMs for talks (music)

🎯Unscreen.ai: Remove background from videos

🎯Vrew.ai: Generate captions for videos

 

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)