Organizers

The organizer of this event is Prof. Virginia Dignum and other consortium members in charge of the work package on AI Ethics and Responsible AI. The research in WP5 will deal with various ethical issues such as transparency, whether biases are pre- programmed, are unintendedly introduced by the algorithm, or are the result of disproportionate data.

About the event

In this virtual event, we'll discuss the issue of defining AI for regulatory and policy purposes. There is an increasing realisation that researchers, regulators and policymakers are struggling with identifying what exactly are they addressing, with views ranging from 'magic' to the whole of computing, from robotics to very narrow specific statistical techniques, which render any attempts at regulation or policy guidance quite useless.

The result of this event will a research brief proposing a definitional framework to inform the current discussion around AI regulation. Our primary focus are the current regulatory efforts at European Parliament and Commission, but we hope to be useful to a wider audience, including proposals that contribute to shaping education, auditing and industry views on AI.

Register here

Participation is free of charge, but registration is required in order to organise the round table discussions. Link to Zoom meeting will be sent prior to the event to all registered participants.

Programme

17:00‑17:30 Welcome, fire start presentations and  Q/A
Marko Grobelnik

There won't be any perfect definition of AI, but we urgently needed a 'good enough' one yesterday

Eva Kaili

EU approach to AI regulation

Catelijne Muller

TBA

Francesca Rossi

Can we really define AI?

Michael Wooldridge

When is an algorithm AI? And if we can't answer that, how can we regulate AI?

17:45‑18:45 Round table discussions
18:45‑19:00 Summary and conclusions

Meet the Speakers

Marko Grobelnik, Artificial Intelligence Laboratory, JSI

Marko Grobelnik is a researcher in the field of Artificial Intelligence. Marko co-leads Artificial Intelligence Lab at Jozef Stefan Institute, cofounded UNESCO International Research Center on AI (IRCAI), and is the CEO of Quintelligence.com. He collaborates with major European academic institutions and major industries such as Bloomberg, British Telecom, European Commission, Microsoft Research, New York Times. Marko is co-author of several books, co-founder of several start-ups and is/was involved into over 70 EU funded research projects in various fields of Artificial Intelligence. Marko represents Slovenia in OECD AI Committee (ONE AI), in Council of Europe Committee on AI (CAHAI), and Global Partnership on AI (GPAI). In 2016 Marko became Digital Champion of Slovenia at European Commission.

Eva Kaili, member of European parliament
Eva Kaili, Member of the European parliament

Eva Kaili is a Member of the European Parliament, part of the Hellenic S&D Delegation since 2014. She is the Chair of the Future of Science and Technology Panel in the European Parliament (STOA) and the Centre for Artificial Intelligence (C4AI), Member of the Committees on Industry, Research and Energy (ITRE), Economic and Monetary Affairs (ECON), Budgets (BUDG), and the Special Committee on Artificial Intelligence in a Digital Age (AIDA). Eva is a member of the delegation to the ACP-EU Joint Parliamentary Assembly (DACP), the delegation for relations with the Arab Peninsula (DARP), and the delegation for relations with the NATO Parliamentary Assembly (DNAT). In her capacity, she has been working intensively on promoting innovation as a driving force of the establishment of the European Digital Single Market. She has been the draftsperson of multiple pieces of legislation in the fields of blockchain technology, online platforms, big data, fintech, AI and cybersecurity, as well as the ITRE draftsperson on Juncker plan EFSI2 and more recently the InvestEU program. She has also been the Chair of the Delegation to the NATO PA in the European Parliament, focusing on Defence and Security of Europe. Prior to that, she has been elected as a Member of the Hellenic Parliament 2007-2012, with the PanHellenic Socialist Movement (PASOK). She also worked as a journalist and newscaster prior to her political career. She holds a Bachelor degree in Architecture and Civil Engineering, and Postgraduate degree in European Politics.

Catelijne Muller, ALLAI
Catelijne Muller, ALLAI

Catelijne Muller is President and co-founder of ALLAI, an independent organisation that promotes responsible development, deployment and use of AI. She is a former member of EU High Level Expert Group on AI, that advised the European Commission on economic, social, legal and ethical strategies for AI. She is AI-Rapporteur at the EESC and was Rapporteur of the EESC opinion on Artificial Intelligence and Society, the EESC opinion on the EU Whitepaper on AI and the EESC opinion on the EU AI Regulation (upcoming). From 2018 to 2020 she headed the EESC Temporary Study Group on AI and she is a member of the EESC Digital Single Market Observatory. She is a member of the OECD Network of Experts on AI (ONE.AI). She advises the Council of Europe on the impact of AI on human rights, democracy and the rule of law. Catelijne is a Master of Laws by training and worked as a Dutch qualified lawyer for over 14 years prior to committing her efforts to the topic of Responsible AI.

Michael Wooldridge, Oxford UniversityMichael Wooldridge, Oxford University

Michael Wooldridge (Oxford University) is a Professor of Computer Science and Head of Department of Computer Science at the University of Oxford, and a programme director for AI at the Alan Turing Institute. He has been an AI researcher for more than 30 years, and has published more than 400 scientific articles on the subject, including nine books. He is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of AI (AAAI), and the European Association for AI (EurAI). From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI). 

Francesca Rossi (IBM)

Francesca Rossi is an IBM fellow and the IBM AI Ethics Global Leader. She is an AI scientist with over 30 years of experience in AI research,
on which she published more than 200 articles in top AI journals and conferences. She co-leads the IBM AI ethics board and she actively participate in many global multi-stakeholder initiatives on AI ethics. She is a member of the board of directors of the Partnership on AI and the industry representative in the steering committee of the Global Partnership on AI. She is a fellow of both the worldwide association of AI (AAAI) and of the European one (EurAI),
and she will be the next president of AAAI.

Organizers

Background

Every year, students develop numerous ideas to solve societal problems using Artificial Intelligence (AI). But the majority of these valuable ideas are not getting further pursued or turned into businesses. This event provides a stage for outstanding student projects and seeks to promote and match them with leading professionals. AI experts from research, business, and the startup scene evaluate participants' ideas and highlight opportunities for further development. The most promising ideas will receive an award.

Don’t miss the chance to get an overview of exciting ideas and a great networking opportunity with high potential students as well as experts from the AI ecosystem.

You have an idea you want to present? Share your Idea and take part in the AI Prize! Please send an email to Sebastian Feger (sebastian.feger@um.ifi.lmu.de) with a short description and a link to a video that showcases your idea or prototype.

If you want to attend, please register for the reminder mail.

The prizes include:

  • An expert coaching – helping you to bring your idea to the next level.
  • A team dinner event – celebrating your first step to start your business.
  • Smart speaker – communication with AI.

Register here

Programme

17:00‑17:15 Welcome by Albrecht Schmidt and Jan Alpmann

Intro to HumaneAI Net and today’s event

17:15‑17:25 Guest talk by Timon Ruban

Our journey of building an AI Startup

17:25‑17:30 Setting the stage by Albrecht Schmidt
17:30‑18:30 Starting the Pitches with Jury members:
  • Matthias Notz
  • Albrecht Schmidt
  • Timon Ruban
  • Bernd Blumoser
  • Gülce Cesur Pitches including Q&A
18:30‑18:40 Short Break
18:40‑19:00 Panel discussion – From AI ideas to businesses
19:00‑19:15 Award ceremony & farewell by Albrecht Schmidt and Jan Alpmann s
19:15‑19:30 Open Networking

Meet the Jury

  • Ludwig-Maximilian-University Munich: Prof. Dr. Albrecht Schmidt
  • CEO German Entrepreneurship: Matthias Notz
  • Innovation Head of AI Lab: Bernd Blumoser
  • VW Data Lab: Gülce Cesur
  • Co-Founder Luminovo: Timon Ruban

About

Collaborative microprojects are the main mechanism for implementing the research agenda. Note that the notion of a collaborative microproject in which industry from both within and outside the consortium can participate is also an important internship and personnel-exchange instrument.

Programme

14:00‑14:10 Welcome and setting the stage by Coordinator: Paul Lukowicz, German Research Center for Artificial Intelligence
14:00‑14:30 Session 1 - Check the videos here
  • Reasoning on Contextual Hierarchies via Answer Set Programming with Algebraic Measures
  • Educational Recommenders with Narratives
  • Linking language and semantic memory for building narratives
  • Neural-Symbolic Integration: explainability and reasoning in KENN
  • Online Deep-AUTOML
  • AI Integration Languages: a Case Study on Constrained Machine Learning
  • Feasibility analysis of hardware acceleration for AML
  • Multimodal Perception and Interaction with Transformers
14:40‑15:00 Session 2 - Check the videos here
  • Collection of datasets tailored for HumanE-AI multimodal perception and modelling
  • Causality and Explainability in Temporal Data
  • Prediction of static and perturbed reach goals from movement kinematics
  • Neural mechanism in human brain activity during weight lifting
  • Coping with the variability of human feedback during interactive learning through ensemble reinforcement learning
  • A tale of two consensuses - building consensus in collaborative and self-interested scenarios
  • Socially aware interactions
  • Combining symbolic and sub-symbolic approaches - Improving neural Question-Answering-Systems through Document Analysis for enhanced accuracy and efficiency in Human-AI interaction.
15:10‑15:40 Session 3 - Check the videos here
  • Exploring the impact of Agency on Human-Computer Partnerships
  • Evidence-based chatbot interaction aimed at reducing sedentary behavior
  • Multilingual Event-Type-Anchored Ontology for Natural Language Understanding (META-O-NLU)
  • Machine supervision of human activity: The example of rehabilitation exercises
  • Autobiographical Recall in Virtual Reality
  • DIASER: DIAlog task oriented annotations for enhanced modeling of uSER
  • Social interactions with robots
  • Learning Individual Users’ Strategies for Adaptive UIs
  • Normative behavior and extremism in Facebook groups
15:50‑16:10 Session 4: Legal Protection by Design Aspects: Mireille Hildebrand - videos here
  • Venice
  • Algorithmic bias and media effects
  • Agent based modeling of the Human-AI ecosystem
  • Social AI gossiping
  • Using Social Norms to counteract misinformation in online communities
  • Pluralistic recommendation in News
  • Explainable vertigo diagnosis
  • Delegation of processing in techno-social systems
  • Network effects in mobility navigation systems
16:20‑16:40 Session 5 - Check the videos here
  • The knowledgeable and empathic behavior change coach
  • Asking the right Questions! How to Match Expertise and People for Innovation
  • Ethical chatbots
  • What idea of AI? Social and public perception of AI
  • Improving air quality in large cities using mobile phone and IoT data
  • Validating fairness property in post-processing vs in-processing systems
  • The role of designers regarding AI design: a case study
  • X-ai model for human readable data aimed at connected car crash detection
  • X5LEARN: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site interface for access to openly licensed educational materials
16:40‑16:45 Discussion
16:45‑17:00 Closing

 

June 20 – 25 , 2021, Dagstuhl Perspectives Workshop 21252

Human-Centered Artificial Intelligence

Organizers

Virginia Dignum (University of Umeå, SE)
Wendy E. Mackay (INRIA Saclay – Orsay, FR)
John Shawe-Taylor (University College London, GB)
Frank van Harmelen (VU University Amsterdam, NL)

For support, please contact

Annette Beyer for administrative matters

Michael Gerke for scientific matters

Documents

Dagstuhl Perspectives Workshop Schedule (Upload here)

Motivation

Society is undergoing a revolution in artificial intelligence (AI), with huge potential benefits, but also major risks for individuals and society.

Increasingly, trust in the development, deployment, and the use of AI and autonomous systems concerns not only the technology’s inherent properties, but also the socio-technical systems of which they are part of, that is, the people, organisations, and societal environments in which systems are developed, implemented, and used. Currently, major challenges include the lack of fundamental theory and models to analyse and ensure that systems are aligned with human values and ethical principles, accountable, open to inspection, and understandable to diverse stakeholders. Furthermore, there is no doubt that this technological shift will have revolutionary effects on human life and society.

The goal of this Dagstuhl Perspectives Workshop is to contribute to shape that revolution, to provide the scientific and technological foundations for designing and deploying AI systems that work in partnership with human beings, to enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems.

Specific challenges include: learning complex world models; building effective and explainable machine learning systems; developing human-controllable intelligent systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

Expected results (outcome) of the workshop

  • Define a coherent research agenda for this rapidly emerging discipline
  • Produce a clear narrative on content and urgency of the discipline to influence policy makers
  • Trigger scientific innovation across the whole spectrum from fundamental research to practical applications
  • Develop synergies across Europe on this emerging research theme and link with similar international initiatives (e.g. at Stanford and MIT ).

About

Human memory drives the encoding, storing, and retrieval of our experiences. Artificial intelligence may help us in understanding challenges in memory research and could improve but potentially also hinder memory encoding and retrieval. Experts from Psychology, HCI, and Computer Science will discuss challenges and opportunities on the intersection of AI and Human Memory from a human-centered perspective in this workshop.

Video presentation

Video of the presentations on AI and Human Memory
Video of the presentations on AI and Human Memory

Organizers

Albrecht Schmidt, Antti Oulasvirta, Robin Welsch, Kashyap Todi

Programme

14:00‑14:10 Welcome and setting the stage by Albrecht Schmidt
Intro to HumaneAI Net and today’s event
14:10‑14:45 Guest talk by Zoya Bylinskii

Research Scientist at Adobe Research

14:45‑14:55 Talk by James Crowley

The Role of Emotion in Concept Formation and Recall when Solving Problems

14:55‑15:05 Talk by Robin Welsch

Understanding autobiographical memory  in Virtual Reality

15:05‑15:15 Talk by Catharine Oertel

Memory Aware Conversational AI to Aid Virtual Team-Meetings

15:15‑15:25 Talk by Aurelien Nioche

Improving Artificial Teachers by Considering How People Learn and Forget

15:25‑15:55 Panel discussion
15:55‑16:00 Closing

Meet the Speakers and Moderators

Zoya Bylinskii, Adobe Research
Zoya Bylinskii, Adobe Research

Albrecht Schmidt, LMU Munich
Albrecht Schmidt, LMU Munich

Antti Oulasvirta, Aalto University
Antti Oulasvirta, Aalto University

Robin Welsch, LMU Munich
Robin Welsch, LMU Munich

Kashyap Todi, Aalto University
Kashyap Todi, Aalto University

James Crowley, Institut Polytechnique de Grenoble

Catherine Oertel, TU Delft
Catherine Oertel, TU Delft

Aurelien Nioche, Aalto University
Aurelien Nioche, Aalto University

Network

The Humane AI Net project funded by the European Union Horizon 2020 program aims to bring together the European AI community 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. Key specific questions that the project addresses are:

  • AI systems that „understand” humans,
  • AI systems that can interact in complex social settings
  • AI systems that enhance  human capabilities
  • AI systems that empower both individuals and society as a whole carefully balancing individual benefits and social impact of their functionality
  • AI systems that respect human autonomy and self-determination
  • Ethics and Legal Protection “by design” in complex dynamic AI systems

 

Facilitating a European brand of trustworthy, ethical AI that enhances Human capabilities and empowers citizens and society to effectively deal with the challenges of an interconnected globalized world

Network

The Humane AI Net project funded by the European Union Horizon 2020 program aims to bring together the European AI community 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. Key specific questions that the project addresses are:

  • AI systems that „understand” humans,
  • AI systems that can interact in complex social settings
  • AI systems that enhance  human capabilities
  • AI systems that empower both individuals and society as a whole carefully balancing individual benefits and social impact of their functionality
  • AI systems that respect human autonomy and self-determination
  • Ethics and Legal Protection “by design” in complex dynamic AI systems

Video presentation

Video of the debate on Facilitating a European brand of trustworthy, ethical AI
Video of the debate on Facilitating a European brand of trustworthy, ethical AI

About

In this moderated online panel we will discuss the vision and plans of the Humane AI Net project. The project coordination team (Paul, Virginia, and John) and experts in law and human centered-computing (Mireille and Albrecht) will share their view of how AI in Europe can be advanced while maximizing the value for individuals and society.

The meeting will take place online using Zoom. The link for the Zoom meeting will be posted here 30 Minutes prior to the meeting.

Programme

17:00‑17:15 Welcome and setting the stage

People in Humane AI

17:15‑18:15 Roundtable: Panel: HumaneAI-Net: A Vision for Human-Centered AI in Europe and Beyond

MODERATOR: Eva Wolfangel

  • Mireille Hildebrandt, Vrije Universiteit Brussel
  • Paul Lukowicz, DFKI, Germany, HumaneAI coordinator
  • John Shaw-Taylor, University College London, UNESCO Chair in Artificial Intelligence
  • Virginia Dignum, Umeå University
  • Albrecht Schmidt, LMU Munich
18:15‑18:30
  • Opportunities for Engagement with Humane AI by Paul Lukowicz, DFKI, Germany, HumaneAI coordinator
18:30‑19:00
  • Open Discussion

Meet the speakers

Eva Wolfangel
Eva Wolfangel

Paul Lukowicz, German Research Center for Artificial Intelligence

Mireille Hildebrandt, Vrije Universiteit Brussel
Mireille Hildebrandt, Vrije Universiteit Brussel

John Shawe-Taylor, University College London, UNESCO Chair in AI

Virginia Dignum, Umeå University

Albrecht Schmidt, LMU Munich
Albrecht Schmidt, LMU Munich