2025 edition 10-06-2025 HHAI2025 Pisa

Introduction

Hybrid Intelligence (HI) is a rapidly growing field aiming at creating collaborative systems where humans and intelligent machines synergistically cooperate in mixed teams towards shared goals. A clear characterisation of the field is still missing, affecting not only standardisation of vocabularies and reuse of design choices, but also how the overall community can identify itself.

In this workshop, we will work toward gathering data to characterise Hybrid Human-Artificial Intelligence (HHAI) as a research field. In a hands-on session, participants will collaboratively analyse HHAI literature to identify common disciplinary backgrounds, existing and novel methodologies, and theoretical frameworks that are used in the community. Additionally,they will discuss such findings and try to identify interesting directions for the field in concept mapping session.

The result will be a scoping literature review, including a more standardised vocabulary, a set of clear research methods, challenges and future research directions for the HHAI field.

The workshop will also discuss strategies to foster greater interdisciplinary engagement and future activities.

Program

In this half-day event, we will mix general discussions and hands-on sessions. At first, we will concisely introduce HHAI as a field, as well as the analytical framework for analysing the relevant literature. We will then proceed with 3 hands-on sessions where participants will be split into groups and given 2 or 3 2024 or 2025 HHAI papers to analyse using the introduced framework. At the end of each session we take a few minutes to discuss progress, problems, and insights. A final concept mapping session of 45 minutes will be dedicated to gather insights and let the HHAI audience think about the directions desired for the field.

Tentative Program

08:30-09:00 Welcome participants

09:00-09:30 Introduction to HHAI and the analytical framework

09:30-10:15 Session 1 - Paper analysis (incl. discussion)

10:15-11:00 Session 2 - Paper analysis (incl. discussion)

11:00-11:45 Session 3 - Paper analysis (incl. discussion)

11:45-12:30 Concept Mapping Session and final remarks (incl. drawing cross-disciplinary collaboration ideas).

(The sessions are planned one after the other, but will be adapted to include a coffee break once the conference program is released.)

Can I participate?

Of course! The tutorial aims for a broad audience in terms of topics. We are looking for participants that are interested in shaping the future of the HHAI community. The workshop is also a chance for HHAI authors to look introspectively in their own work, matching it against the field’s directions. So everyone is welcome!

Also, we will have treats for our participants!

Organisers

ilaria Ilaria Tiddi is an Assistant Professor in Hybrid Intelligence at the Knowledge in AI (KAI) group of the Vrije Universiteit Amsterdam (NL). Her research focuses on creating systems that generate complex narratives through a combination of semantic technologies, open data and machine learning, applied mostly in scientific and robotics scenarios.

stephanie Stephanie Kramer is a researcher at the ‘Digital Life’ research group at the Amsterdam University of Applied Sciences (NL). Her current research topics include human-centred AI for dementia care, technological support for people with chronic joint illnesses, and an hybrid human-AI educational assistant supporting primary school teachers educating gifted children.

michel Michel Oey is a researcher at the ‘Digital Life’ research group at the Amsterdam University of Applied Sciences (NL). Currently his research focuses on using technology, such as sensors, in health-care systems. Examples include remote-monitoring of elderly during their rehabilitation, human-centred AI for dementia-care, a mobile application to support adopting a healthy life-style, and developing an AI-supported education assistant for gifted children.

jessica Jessica Sorenson is a design anthropologist and postdoctoral researcher at Aarhus University in Denmark. She investigates human relations with emerging technologies, to support the development of ethical and sustainable technological solutions to human problems. Her research is dedicated to facilitating transdisciplinary collaborations, bridging the technical and social sciences.

Michel Adam Dahlgren Lindström is a postdoctoral researcher in the Responsible AI group at Umea University in Sweden. His research is on evaluating the capabilities and limitations of multimodal machine learning systems, and how we can build tools for Human-AI interaction in relation to current sociotechnical challenge.