My name is Jordi Bieger and I'm currently a researcher/teacher at Delft University of Technology, while still wrapping up my PhD at Reykjavik University under the guidance of Dr. Kristinn R. Thórisson. I'm mainly interested in advanced, general, safe and beneficial artificial intelligence for all. I'm currently working on how AI can be used ethically for law enforcement, and have helped implement the new MOOD platform for online value-driven deliberation, and aided in developing and running the Mind of the Universe - Robots in Society: Blessing or Curse? online learning experience on EdX
The overarching research topic of my PhD is Artificial Pedagogy: the study of teaching / training / raising / educating AI systems, with a particular eye towards Artificial General Intelligence. I want to develop a theory for how different teaching techniques such as demonstration, heuristic rewarding, simplification and decomposition can help AI systems learn. How can we shape the environment and present training data? How can we interactively determine learning progress and remedy deficiencies?
To answer these questions we need a Task Theory for modeling tasks, and AI Evaluation for (interactively) determining the (hopefully growing) capabilities of learning systems. Related research interests include: Transfer Learning, Lifelong Learning, Multitask Learning, Multiagent Learning, Semi-supervised Learning, Active Learning, Computational Learning Theory, and Reinforcement Learning.
Calls for Papers
- The European Conference on the Impact of AI and Robotics (ECIAIR). Abstract submission deadline: 11 April 2019
- The 12th Conference on Artificial General Intelligence (AGI-19). Paper submission deadline: 15 April 2019
Please submit a paper if you're interested!
|Name:||Jordi Erwan Bieger|
|Date of birth:||December 9, 1985|
|Place of birth:||Voorburg, The Netherlands|
|Phone:||+354 666 7701|