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Artificial Intelligence
 
Data Science
 
Algorithms

Automated Decision Making for Safety Critical Applications - Mykel Kochenderfer (Stanford University)

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Dates
2025-06-04 10:00 - 12:00
Venue
Artemidos 1 - Amphitheater

Title: Automated Decision Making for Safety Critical Applications

Speaker: Mykel Kochenderfer (Associate Professor of Aeronautics and Astronautics & Associate Professor, by courtesy, of Computer Science, Stanford University, USA)

Abstract: Building robust decision making systems for autonomous systems is challenging. Decisions must be made based on imperfect information about the environment and with uncertainty about how the environment will evolve. In addition, these systems must carefully balance safety with other considerations, such as operational efficiency. Typically, the space of edge cases is vast, placing a large burden on human designers to anticipate problem scenarios and develop ways to resolve them. This talk discusses major challenges associated with ensuring computational tractability and establishing trust that our systems will behave correctly when deployed in the real world. We will outline some methodologies for addressing these challenges and point to some research applications that can serve as inspiration for building safer systems.

Short bio: Mykel Kochenderfer is an Associate Professor of Aeronautics and Astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and automated driving where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. Prior to joining the faculty in 2013, he was at MIT Lincoln Laboratory where he worked on aircraft collision avoidance, leading to the creation of the ACAS X international standard for manned and unmanned aircraft. Prof. Kochenderfer is a co-director of the Center for AI Safety. He is an editor-in-chief of the Journal of Artificial Intelligence Research and associate editor of the Journal of Aerospace Information Systems. He is an author of the textbooks Decision Making under Uncertainty: Theory and Application (MIT Press, 2015), Algorithms for Optimization (MIT Press, 2019), Algorithms for Decision Making (MIT Press, 2022), and Algorithms for Validation (MIT Press, forthcoming).
 
 
 
 

 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
BabyLM Challenge Award at EMNLP 2025 Workshop!

BabyLM Challenge Award at EMNLP 2025 Workshop!

17 November 2025

Researchers Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas, Georgios Paraskevopoulos, and Alexandros Potamianos from Archimedes, Athena Research Center, Greece, from the National Technical University of Athens, Greece, the University of Bern, Switzerland and the Institute of Language and Signal Processing (ILSP) of the Athena Research Center, Greece, received the BabyLM Challenge Award (Strict track) for NLP tasks at "The First BabyLM Workshop: Accelerating Language Modeling Research with Cognitively Plausible Datasets", which took place in Suzhou, China, during the 30th Annual Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

Two Best Paper Awards at BIBE 2025

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10 Papers Accepted at EMNLP 2025!

10 Papers Accepted at EMNLP 2025!

5 November 2025

The Conference on Empirical Methods in Natural Language Processing (EMNLP) is a major annual conference for researchers in natural language processing, machine learning, and artificial intelligence. It has been organized by the Association for Computational Linguistics (ACL) Special Interest Group on Data (SIGDAT) since 1996 and is celebrating its 30th anniversary this year.

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On Friday 7 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Mark Girolami, Sir Kirby Laing Professor of Civil Engineering within the Department of Engineering at the University of Cambridge, UK, where he also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering, and Chief Scientist of the Alan Turing Institute, UK, will deliver an Archimedes Seminar on "Statistical Finite Element Methods."

Archimedes Talk by Alexandra Meliou on

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On Tuesday 4 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Alexandra Meliou, Professor at the College of Information and Computer Sciences at the University of Massachusetts Amherst, USA, and a visiting researcher at the Archimedes Research Unit, Athena Research Center, Greece, will deliver an Archimedes talk on "Data Analysis and Manipulation through a Constrained Optimization Lens."

More news items here
 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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