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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;TZID=Europe/Berlin:20250107T160000
DTEND;TZID=Europe/Berlin:20250107T180000
DTSTAMP:20260428T055748
CREATED:20241217T123131Z
LAST-MODIFIED:20250603T124437Z
UID:22899-1736265600-1736272800@www.scienceofintelligence.de
SUMMARY:Carlo Pinciroli (Worcester Polytechnic Institute)\, “Simulation Platforms and sim2real Gap”
DESCRIPTION:Carlo Pinciroli is an Associate Professor and Graduate Coordinator of the Robotics Engineering department at Worcester Polytechnic Institute (WPI)\, where he leads the NEST (Novel Engineering for Swarm Technologies) Lab. With additional appointments in WPI’s Artificial Intelligence Program\, Computer Science\, and Fire Protection Engineering\, his research centers on swarm robotics. \nHe is the creator of ARGoS\, a widely used\, high-performance robot swarm simulator\, and the driving force behind Buzz\, a programming language designed for real-world robot swarms\, recognized by MIT Technology Review and Communications of the ACM. Their work has received funding from NSF\, NASA\, Amazon Science\, Raytheon Technologies\, and other major institutions\, advancing both simulation accuracy and real-world swarm applications. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/carlo-pinciroli-worcester-polytechnic-institute-simulation-platforms-and-sim2real-gap/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Pinciroli-e1734438654860.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250110T140000
DTEND;TZID=Europe/Berlin:20250110T153000
DTSTAMP:20260428T055748
CREATED:20241024T160017Z
LAST-MODIFIED:20250603T124424Z
UID:22496-1736517600-1736523000@www.scienceofintelligence.de
SUMMARY:Oliver Kroemer (Carnegie Mellon University)\, “Modularity and Learning To Structure Robot Manipulation Skills”
DESCRIPTION:Oliver Kroemer’s research focuses on developing algorithms and representations that enable robots to learn versatile manipulation skills over time. By equipping robots with the ability to acquire new skills and adapt manipulations to novel situations\, his work opens up a wide range of potential applications—from assisting the elderly and maintaining parks and public spaces to operating in hazardous environments. \nOliver has developed methods that allow robots to learn about objects through physical interactions and autonomously refine their skills using reinforcement learning. Additionally\, he has proposed innovative representations for capturing key aspects of manipulations\, such as contact states and motor primitives\, to enhance generalization across different tasks and scenarios. \nThe ultimate aim of his research is to create a life-long learning framework that enables robots to continuously acquire and improve manipulation skills\, paving the way for more adaptable and capable robotic systems. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/oliver-kroemer-carnegie-mellon-university-modularity-and-learning-to-structure-robot-manipulation-skills/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Kroemer-e1734442005415.webp
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250115T160000
DTEND;TZID=Europe/Berlin:20250115T180000
DTSTAMP:20260428T055748
CREATED:20241217T153357Z
LAST-MODIFIED:20250603T124411Z
UID:22907-1736956800-1736964000@www.scienceofintelligence.de
SUMMARY:Mary Ellen Foster (University of Glasgow)\, “Face-to-Face Conversation With Socially Intelligent Robots”
DESCRIPTION:When humans talk to each other face-to-face\, they use their voices\, faces\, and bodies together in a rich\, multimodal\, continuous\, interactive process. For a robot to participate fully in this sort of natural\, face-to-face conversation in the real world\, it must also be able not only to understand the social signals of its human partners\, but also to produce appropriate signals in response. In this talk\, I will present recent research from my group in this area\, and will also discuss the issues involved in moving social robots from the lab to real-world contexts\, which involves consultation with a large number of stakeholders. \nDr Mary Ellen Foster is a Senior Lecturer in the School of Computing Science at the University of Glasgow. Her primary research interests are human-robot interaction\, social robotics\, and embodied conversational agents. She recently coordinated the MuMMER project\, a European Horizon 2020 project in the area of socially aware human-robot interaction\, and is currently coordinating a UK/Canada collaborative project investigating the use of socially intelligent robots in paediatric emergency rooms. She obtained her PhD from the University of Edinburgh in 2007 and has previously worked at the Technical University of Munich and Heriot-Watt University. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/mary-ellen-foster-university-of-glasgow/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Z__2526-e1734449630441.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250116T100000
DTEND;TZID=Europe/Berlin:20250116T110000
DTSTAMP:20260428T055748
CREATED:20250106T095531Z
LAST-MODIFIED:20250107T153234Z
UID:22991-1737021600-1737025200@www.scienceofintelligence.de
SUMMARY:Anita Keshmirian (Forward College\, Berlin): "Many Minds\, Diverging Morals: Human Groups vs. AI in Moral Decision-Making"
DESCRIPTION:Moral judgments are inherently social\, shaped by interactions with others in everyday life. Despite this\, psychological research has rarely examined the impact of social interactions on these judgments. In our study\, we explored the role of group dynamics in moral decision-making by having small groups (4-5 participants) evaluate moral dilemmas first individually\, then collectively\, and finally individually a second time. Participants judged real-life and sacrificial moral dilemmas involving actions or inactions violating moral principles to benefit the greater good. Experiment 1 found that collective judgments were more utilitarian than individual judgments\, supporting the hypothesis that group deliberation temporarily reduces the emotional burden of violating moral norms. \nExperiment 2 measured participants’ state anxiety and moral judgments before\, during\, and after online interactions. Results again showed that collectives were more utilitarian\, reducing state anxiety during and after social interaction\, suggesting that stress reduction may explain the shift toward utilitarianism in group settings. We replicated this experiment using multi-agent large language models (LLMs) to test how artificial agents make moral decisions. Preliminary findings revealed that\, unlike humans\, groups of LLM agents were less utilitarian than individual agents. Analysis of the agents’ interactions showed a consistent pattern of virtue-signaling\, with LLMs emphasizing deontological reasoning (focusing on moral rules) rather than utilitarian principles. \nThis divergence from human behavior suggests that collective reasoning in AI systems is shaped by different dynamics\, likely due to how LLMs are trained to prioritize socially accepted norms. These results highlight important differences in moral decision-making between human and artificial intelligence\, offering new insights into the development of AI systems that more closely mirror human ethical reasoning\, particularly in complex\, real-world collective decision-making scenarios. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/anita-keshmirian-many-minds-diverging-morals-human-groups-vs-ai-in-moral-decision-making/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/TMT_Anita_Keshmirian-2-e1736256383948.webp
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250120T100000
DTEND;TZID=Europe/Berlin:20250120T163000
DTSTAMP:20260428T055748
CREATED:20250116T102149Z
LAST-MODIFIED:20251023T103255Z
UID:23176-1737367200-1737390600@www.scienceofintelligence.de
SUMMARY:SCIoI at Oxford Berlin Colloquium on AI Ethics
DESCRIPTION:The 2025 Oxford Berlin colloquium on AI ethics will be held in Oxford and bring together scholars and professionals to discuss a variety of topics\, hosted by Dr Caroline Green (Oxford) and Dr Luise Muller (Freie Universitat Berlin). \nAI technologies\, from large language models to self-driving cars\, raise fundamental philosophical questions. The aim of the Oxford Berlin colloquium on AI ethics is to connect early-career researchers doing ground-breaking work on the moral and political philosophy of AI and related fields\, and to provide a forum for presenting work in progress\, receiving valuable feedback in a constructive environment\, and exchanging ideas with leading researchers and professionals from industry and policy. \nSCIoI member Verena Hafner will speaking about “Embodied AI and the Artificial Self” at the colloquium.. \nFind all info about the event here\, and the program here.
URL:https://www.scienceofintelligence.de/event/scioi-at-oxford-berlin-colloquium-on-ai-ethics/
LOCATION:Beit Room\, Rhodes House\, South Parks Road\, Oxford\, OX1 3RG
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Oxford-Berlin-Colloquium-e1737022700780.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250120T140000
DTEND;TZID=Europe/Berlin:20250120T153000
DTSTAMP:20260428T055748
CREATED:20241024T160424Z
LAST-MODIFIED:20250102T131427Z
UID:22499-1737381600-1737387000@www.scienceofintelligence.de
SUMMARY:Rudolf Lioutikov (Karlsruher Institut für Technologie)\, "Versatile\, Language Conditioned Robots"
DESCRIPTION:More info will follow soon. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions.
URL:https://www.scienceofintelligence.de/event/rudolf-lioutikov-karlsruher-institut-fur-technologie-versatile-language-conditioned-robots/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Copy-of-zp-TU-HU-ExcelenzForschung-20240122-077___-scaled-e1729865955744.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250121T160000
DTEND;TZID=Europe/Berlin:20250121T180000
DTSTAMP:20260428T055748
CREATED:20241217T172315Z
LAST-MODIFIED:20250603T124352Z
UID:22911-1737475200-1737482400@www.scienceofintelligence.de
SUMMARY:Giovanni Beltrame (Polytechnique Montreal)\, “Field Collective Robotics: Challenges and Applications”
DESCRIPTION:Giovanni Beltrame is a Professor in the Department of Computer and Software Engineering at Polytechnique Montréal\, where he leads the Making Innovative Space Technology (MIST) Laboratory. At MIST Lab\, Giovanni is conducting projects in collaboration with industry and government agencies in areas such as robotics\, disaster response\, and space exploration. His research interests include the modeling and design of embedded systems\, artificial intelligence\, and robotics\, with a particular emphasis on swarm robotics. He has participated in several field missions with ESA\, the Canadian Space Agency (CSA)\, and NASA\, including BRAILLE\, PANGAEA-X\, and IGLUNA. He has made significant contributions to the field of swarm robotics\, notably through the development of Buzz\, a programming language designed for heterogeneous robot swarms\, which facilitates the coordination and control of large groups of robots. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/giovanni-beltrame-polytechnique-montreal-field-collective-robotics-challenges-and-applications/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Giovanni_Mohsen2.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250122T160000
DTEND;TZID=Europe/Berlin:20250122T173000
DTSTAMP:20260428T055748
CREATED:20250106T110543Z
LAST-MODIFIED:20250603T124340Z
UID:23000-1737561600-1737567000@www.scienceofintelligence.de
SUMMARY:Stephen M. Fiore (University of Central Florida)\, “Studying Artificial Social Intelligence: Understanding and Examining Social Cognitive Processes in Human-Machine Collaborations”
DESCRIPTION:In this presentation Stephen M. Fiore will provide an overview of a body of research in social cognition and its relation to developing artificial social intelligence. In the rapidly evolving landscape of artificial intelligence (AI)\, an important research direction is the development of systems that can work alongside and collaborate with humans as actual teammates. Effective teamwork is crucial in fields that have high-stakes and can require complex collaborative problem solving (e.g.\, disaster response). In these environments\, the ability of team members to collaborate requires social-cognitive processes over and above an understanding of the tasks to be accomplished. We address this through the study of socially intelligent AI and how these influence interactions with human counterparts acting as a team. In this talk\, Stephen Fiore will first provide an overview of our approach to social cognition and the theoretical concepts being studied. He will describe theory and data from his various research projects studying human-human and human-machine teaming and conclude with recommendations and guidance for future research on artificial social intelligence. \nThis course This talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-stephen-fiore/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Fiore.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250123T100000
DTEND;TZID=Europe/Berlin:20250123T110000
DTSTAMP:20260428T055748
CREATED:20250106T100435Z
LAST-MODIFIED:20250603T124327Z
UID:22994-1737626400-1737630000@www.scienceofintelligence.de
SUMMARY:Wannes Ooms (KU Leuven Centre for IT & IP Law -Imec): A General Introduction to the EU AI Act
DESCRIPTION:The EU AI Act introduces new obligations for providers and deployers of AI systems. In this presentation\, we will discuss the scope of the AI Act\, the different qualifications of AI systems under the act and the related obligations or requirements. We also provide a look ahead at key deadlines\, the status of standards and conformity assessments\, and other responsibilities along the AI value chain. \nThis event will take place in person and will be streamed via zoom. \nPhoto by Alex Knight on Unsplash
URL:https://www.scienceofintelligence.de/event/wannes-ooms-ku-leuven-centre-for-it-ip-law-imec-a-general-introduction-to-the-eu-ai-act/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/alex-knight-2EJCSULRwC8-unsplash-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250129T161500
DTEND;TZID=Europe/Berlin:20250129T173000
DTSTAMP:20260428T055748
CREATED:20250106T111016Z
LAST-MODIFIED:20250603T124316Z
UID:23002-1738167300-1738171800@www.scienceofintelligence.de
SUMMARY:Maarten Sap (Carnegie Mellon University)\, “Artificial Social Intelligence? On the Challenges of Socially Aware and Ethically Informed LLMs”
DESCRIPTION:Modern AI systems such as LLMs are pervasive and helpful\, but do they really have the social intelligence to seamlessly and safely engage in interactions with humans? In this talk\, Maarten Sap will delve into the limits of social intelligence of LLMs and how we can measure and anticipate their risks. He will introduce Sotopia\, a new social simulation environment to evaluate the interaction abilities of LLMs as social AI agents. He will show how today’s most powerful models struggle to socially interact due to inability to deal with information asymmetry. He will then shift to how LLMs pose new ethical challenges in their interactions with users. Specifically\, through their language modality and possible expressions of uncertainty\, his work shows that LLMs tend to express overconfidence in their answers even when incorrect\, which users tend to over-rely on.  Finally\, Maarten Sap  will introduce ParticipAI\, a new framework to anticipate future AI use cases and dilemmas. Through their framework\, his work shows that lay users can help us anticipate the benefits and harms of allowing or not allowing an AI use case\, paving the way for more democratic approaches to AI design\, development\, and governance. He will conclude with some thoughts on future directions towards socially aware and ethically informed AI. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-maarten-sap-carnegie-mellon-university/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Saap.webp
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