HMIEAI2022: Heterodox methods for interpretable and efficient AI Vrije Universiteit Amsterdam Amsterdam, Netherlands, June 13, 2022 |
Conference website | https://hmieai2022.cs.umu.se |
Submission link | https://easychair.org/conferences/?conf=hmieai2022 |
Submission deadline | April 4, 2022 |
You are cordially invited to contribute to the first international workshop on Heterodox Methods for Interpretable and Efficient AI.
In this workshop we will discuss (machine learning) architectures where the human involvement in the design of the model and its data ingestion process allows for both more energy efficient and more interpretable outcomes. Examples of such systems stretch from pure grammatical inference methods and probabilistic programming, where the model (family) is entirely constructed by human hands and only very specific model parameters are learned from data, to various types of interpretable neural network approaches where the specific workings of the output system is much less defined a priori. The goal is to spread knowledge about lesser known approaches to learning from data that use an increased level of human involvement, require less training data, and are tailored to achieve interpretable results in a more efficient way.
Submission Guidelines
Submissions are invited in two forms: Short research papers (5-6 pages) detailing new contributions to the aforementioned fields, and (up to) two-page abstracts summarizing previous work, describing applications, introducing original research directions (including ideas where additional collaborators would be useful), or speculative ideas for community critique and feedback. All contributions should be formatted according to the IOS guidelines.
List of Topics
We are soliciting submissions within areas such as
- Transparent and Interpretable AI/machine learning
- Interpretable Green AI
- Energy-efficient AI, including interpretable TinyML and Edge AI
- Low-resource Knowledge sharing
- Human-in-the-loop AI solutions
- Probabilistic programming and graphical models
- Explainable evolutionary computation
- Grammar induction
- Tsetlin machines
- Neuro-symbolic methods
- AI under human control
- Human-friendly explanations
Committees
Program Committee
We are currently expanding the membership of the PC, below are the currently confirmed members:
- Silja Renooij, Utrecht University
- Petter Ericson, Umeå University
- Victor de Boer, Vrije Universiteit Amsterdam
- Anna Jonsson, Umeå University
- Adam Dahlgren Lindström, Umeå University
- Andrew Lensen, Te Herenga Waka—Victoria University of Wellington
- Ronald Siebes, Vrije Universiteit Amsterdam
- Andreas Theodorou, Umeå University
- Heysem Kaya, Utrecht University
- Eliezer de Souza da Silva, Norwegian University of Science and Technology
- Hanna Hauptmann, Utrecht University
- Ivano Malavolta, Vrije Universiteit Amsterdam
- Patricia Lago, Vrije Universiteit Amsterdam
- Ying Bi, Te Herenga Waka—Victoria University of Wellington
- Fangfang Zhang, Te Herenga Waka—Victoria University of Wellington
- Yi Mei, Te Herenga Waka—Victoria University of Wellington
- Harisu Abdullahi Shehu, Te Herenga Waka—Victoria University of Wellington
- Minal Suresh Patil, Umeå University
- Ole-Christoffer Granmo, University of Agder
Organizing committee
- Silja Renooij, Utrecht University
- Petter Ericson, Umeå University
- Victor de Boer, Vrije Universiteit Amsterdam
- Anna Jonsson, Umeå University
- Adam Dahlgren Lindström, Umeå University
- Andrew Lensen, Te Herenga Waka—Victoria University of Wellington
- Ronald Siebes, Vrije Universiteit Amsterdam
Venue
The conference will be colocated with the first international conference on Hybrid Human-AI (HHAI) in Amsterdam.
Contact
All questions about submissions should be emailed to pettter+hmieai@cs.umu.se