Hybrid Human Artificial Intelligence (HHAI2023) is the second international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.

Find the program here and an overview of all papers here.

HHAI2023 is organised by the Dutch Hybrid Intelligence Center and the European HumaneAI Network, as the second conference in what we intend to become a series of conferences about Hybrid Human Artificial Intelligence.

HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.

This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others.

In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.

Organizers

• FARI AI for the Common Good Institute (VUB)

Event Contact

• Carl Mörch (ULB)

Programme

Background

The machine learning pipeline kicks off with the collection and curation of training data. Besides the environmental impact of generating, storing and processing ever more data, there are more reasons to question the sustainability of this type of data-driven AI systems. This panel will engage with a report written by Gianmarco Gori for the Human AI Network that is focused on groundbreaking research into human-centred AI. The report investigates how a ‘legal protection debt’ builds up in the ML pipeline where upstream design decisions may have a major downstream impact on the fundamental rights and freedoms of natural persons. The report confronts the legal duties of the GDPR and the legal framework for open data and open science, highlighting the need for responsible AI from the perspective of legal protection by design. The panel hosts computer scientists, developers and legal scholars, promising an animated debate about arduous issues in data-driven research.

Please consult the report in this link: https://www.cohubicol.com/assets/uploads/hai-net-report.pdf

About

EurAI annually sponsors a specialized Artificial Intelligence course called the Advanced Course on AI (ACAI). EurAI invites member societies to submit proposals for organizing the 20th Advanced Course on AI (ACAI-2023).

From this year EurAI made the ACAI school to be part of a larger European Summer School on Artificial Intelligence (ESSAI), structured following the successful model developed by ESSLLI.

Core local organizing committee

Aleksander Sadikov (University of Ljubljana)
Vida Groznik (University of Primorska, University of Ljubljana)
Sašo Džeroski (Jožef Stefan Institute)
Jure Žabkar (University of Ljubljana)

Organizers

• Francesca Pratesi (National Research Council (CNR), Italy)
• Desara Dushi (Vrije Universiteit Brussel (VUB), Belgium)
• Francesca Naretto (Scuola Normale Superiore (SNS), Italy)

Event Contact

• Francesca Pratesi (National Research Council (CNR), Italy)

Programme

Background

his workshop aims at analyzing how this new regulation will shape the AI technologies of the future. We will cover issues such as the ability of the AIA requirements to be operationalized, privacy, fairness, and explainability by design, individual rights and AIA, AI risk assessment, and much more. The workshop will bring together legal experts, tech experts and other interested stakeholders for constructive discussions. We aim at stakeholder and geographical balance. The workshop's main goal is to help the community understand and reason over the implications of an AI regulation, what problems does it solve, what problems does it not solve, what problems does it cause, discuss the new proposed amendments to the text of the AI Act, and propose new approaches that maybe have not been tackled yet.
Papers are welcome from academics, researchers, practitioners, postgraduate students, private sector, and anyone else with an interest in law and technology. Submissions with an interdisciplinary orientation are particularly welcome, e.g. works at the boundary between ML, AI, human-computer interaction, law, and ethics. Submitted applications can include regular papers, short papers, working papers and/or extended abstracts.