Intepretable AI from start to finish
Research Project, 2022
– 2025
Purpose and goal
The technology with interpretable AI shall be used to provide transparency in development processes for AI-based products and services in order to understand, verify and validate the functionality of these, which is highly essential for AI development and use in Sweden. Methods and tools shall be developed to support a process from identifying the needs of users with AI and data to the delivery and reuse of products containing AI components. The technology shall also be compared with AI that is based on so-called black box models.
Expected results and effects
The project intends to produce knowledge about how functionality in products can be created with AI in a way that can be interpreted and validated by those involved in the product development process. The results will facilitate the chang of application area of AI-based products when re-used or re-manufactured. The developed technology shell enable interpretable optimization of AI-based properties of products that have a direct connection to sustainability-affecting properties described in Agenda 2030.
Planned approach and implementation
The project is organized around two practice cases. Use of route data of marine vesels to offer better propulsion systems and processing of data from airborne laser scanning of forests to discern interesting details in the stock. Methods and tools shall be developed to support a process from identifying the needs of users with AI and data to the delivery and reuse of products containing AI components. Research partners are RISE, Chalmers´ departments for mechanics and maritime sciences and Chalmers´ division for industry and materials science.
Participants
Mattias Wahde (contact)
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Marco Luigi Della Vedova
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Ola Isaksson
Chalmers, Industrial and Materials Science, Product Development
Collaborations
RISE Research Institutes of Sweden
Göteborg, Sweden
Funding
VINNOVA
Project ID: 2022-01702
Funding Chalmers participation during 2022–2025
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces