About

Organizers

Dr. Jan Alpmann (German Entrepreneurship GmbH)
Dr. Sebastian Feger (Ludwig-Maximilian-University Munich)
Dr. Robin Welsch (Ludwig-Maximilian-University Munich)
Dennis Elflein (German Entrepreneurship GmbH)

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

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

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

James Crowley, Institut Polytechnique de Grenoble

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

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

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