Responsible AI at the edge: towards privacy-preserving smart cities
Creators
- 1. Digital Society Center, Fondazione Bruno Kessler
- 2. University of Trento & University of Pisa
- 3. Digital Society Center, Fondazione Bruno Kessler & University of Trento
Description
With the massive amount of data produced by ambient environmental sensors, many AI-based solutions are emerging to support new smart cities’ applications. However, these data may contain sensitive personal information, calling for responsible AI solutions. FBK proposes a privacy-preserving subsystem with a set of technological components that enable responsible AI and prevent unauthorised usage of personal data at the data storage and during data transmission under the context of Smart Cities. We demonstrate the proposed solution under an EU project MARVEL, where both video and audio anonymisation components are deployed at the edge level, enabled by a model compression component for complexity reduction. We discuss each component’s technical challenges, current progress, and future directions.
Files
Ital-IA22_paper_28.pdf
Files
(1.7 MB)
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