Organizers

• Joongi Shin (Aalto University, Finland)
• Janin Koch (LISN, Université Paris-Saclay, CNRS, Inria, France)
• Andrés Lucero (Aalto University, Finland)
• Peter Dalsgaard (Aarhus University, Denmark)
• Wendy E. Mackay (LISN, Université Paris-Saclay, CNRS, Inria, France)

Event Contact

• Janin Koch (LISN, Université Paris-Saclay, CNRS, Inria, France)

Programme

Background

People can generate more innovative ideas when they collaborate with one another, collectively exploring ideas and exchanging viewpoints. Advancements in artificial intelligence have opened up new opportunities in people's creative activities where individual users ideate with diverse forms of AI. For instance, AI agents and intelligent tools have been designed as ideation partners that provide inspiration, suggest ideation methods, or generate alternative ideas. However, what AI can bring to collaborative ideation among a group of users has not been fully understood. Compared to ideating with individuals, ideating with multiple users would require understanding users' social interaction, transforming individual efforts into a group effort, and—in the end—making users satisfied that they collaborated with other group members. This workshop aims to bring together a community of researchers and practitioners to explore the integration of AI in human-human collaborative ideation. The exploration will center around identifying the potential roles of AI as well as the process and form of collaborative ideation, considering what users want to do with AI or humans.

Organizers

• João Gama (INESC TEC)

Event Contact

• Sónia Teixeira (INESC TEC)

Programme

Background

INESC TEC organized the HumanE-AI Metrics for Ethics Workshop on June 26, 2024, in Porto, bringing together consortium members and industry guests. In the morning, parallel discussion sessions were held on “Methods and Tools” and “Critical Multidisciplinary Studies.” In the afternoon, alongside the continuation of the morning sessions, a roundtable took place with representatives from the HumanE-AI project and leading companies. The roundtable discussed the “Trustworthy Assessment for Companies” questionnaire, developed within the AI4EU project. The event fostered an intense exchange of ideas and common challenges, resulting in suggestions for improvements to the dashboard and questionnaire and inspiring reflections on the challenge of developing ethical and trustworthy AI systems.

Organizers

• Joao Gama (Inesc Tec)

Event Contact

• Rita P. Ribeiro (Inesc Tec)

Programme

Background

The Eighth Workshop on Data Science for Social Good, SoGood 2023, held in conjunction with ECML PKDD 2023, at Torino, Italy.

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 and survey 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.

Organizers

• Jennifer Renoux (Örebro University)
• Jasmin Grosinger (Örebro University)
• Marta Romeo (Heriot-Watt University)
• Kiran M. Sabu (Örebro University)
• Kim Baraka (Free University Amsterdam)
• Victor Kaptelinin (Umeå University)

Event Contact

• Jennifer Renoux (Örebro University)

Programme

Background

The primary goal of this workshop is to bridge disciplinary boundaries between various fields, included but not limited to AI, HRI, and HCI, in order to gather a multi-perspective view on the topic of Communication in Human-AI Interaction. In particular, we are interested in exploring the core characteristics of AI communicators and human-AI communication, exchanging research methods, and fostering long-term collaboration between practitioners of different fields.
As the study of communication in human-AI interaction is by essence a multidisciplinary approach, we aim for this workshop to be a multidisciplinary platform where researchers can learn to work together and pave the way to impacting research. We also wish to use this opportunity to draw a tentative disciplinary map of the topic of Communication in Human-AI Interaction, describing different perspectives, research directions, methods, and how these perspectives can be related to one another within the research area as a whole.

The morning will focus on networking. First participants will introduce themselves, and participants who have a position paper accepted will present it in a round of lightning talks. After the keynote and the coffee break, we will organize a poster session for participant to discover each-others research. The afternoon will be organized as a World Café where participants will reflect on topics related to Communication in Human-AI Interaction. Depending on the number of participants, we will hold between three and five rounds of discussion.

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