Conferences  >  Informatics  >  Social Networks and Social Aspects of Information Technology  >  Germany

Association for Computing Machinery (ACM), University of Bremen, Germany

ACM GoodIT 2024 focuses on the application of IT technologies to social good. Social good is typically defined as an action that provides some sort of benefit to the general public. In this case, Internet connection, education, and healthcare are all good examples of social goods. However, new media innovations and the explosion of online communities have added new meaning to the term. Social good is now about global citizens uniting to unlock the potential of individuals, technology, and collaboration to create positive societal impact.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Generative AI systems are rapidly being integrated into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI. This Dagstuhl Seminar wants to bring together scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants will build shared language and frameworks for reshaping the technical and social architectures of generative AI.

Implementation and Applications of Artificial Intelligence,    Natural Language Processing, Computational Linguistics

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

How PETs address privacy threats needs a rethink. Protecting personal data is only a first step, and is insufficient in many cases to protect people from interference with their privacy. Furthermore, an independent evaluation framework is required to assess the level of privacy protection offered by deployed PETs solutions and to protect against privacy washing. However, most computer scientists are not well equipped to address social problems on their own. Thus, this Dagstuhl Seminar aims to bring together a group of computer science and legal scholars working on privacy and AI along with industry, policy experts, and regulators to explore the role of PETs and the challenge of private and accountable AI.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar will synthesize research perspectives from computing, with insights from the law, public administration, and the social sciences. In particular, the relevant communities in computing include Semantic Web, Knowledge Representation and Reasoning, Deontic Logics, Logic Programming, Multiagent Systems, Privacy and Security, and Legal Informatics.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we want to focus on three main topics. The first one is data, which has become an essential element for COMSOC research. In fact, thanks to the availability of open libraries, datasets and tools, researchers can now implement and test their algorithms for collective decision-making on real-life data, complementing their theoretical results. The second one is participation, as in recent years many municipalities and public institutions have moved towards various forms of participatory and digital democracy, with the goal of increasing the citizens' active role and engagement in the public life of their communities. The third one is time, as although many collective decision-making problems have an underlying repeated nature, this dimension has thus far not received the deserved attention within standard COMSOC models.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Recently, democracies have been challenged at their very core: election outcomes are regularly contested, election procedures questioned, and distrust sown, as exemplified by the aftermath of recent elections in the 2020 Presidential election in the US and the 2022 election in Brazil. Hence, one of the essential qualities of any election, poll, or referendum is that it should provide firm evidence that the announced result truly reflects the will of the electorate.