CHAI: Cyber Hygiene in AI enabled domestic life
Lead Research Organisation:
University of Bristol
Department Name: Engineering Mathematics and Technology
Abstract
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Organisations
People |
ORCID iD |
| Weiru Liu (Principal Investigator) |
| Description | EPSRC IAA fund: Enhancing transparency and trust in AI systems through explanations for non-expert users: with domestic energy management as a use case |
| Amount | £14,938 (GBP) |
| Organisation | University of Bristol |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 04/2023 |
| End | 05/2024 |
| Title | SQUID: a platform supporting the XAI and cyber attack identification interface for energy management at homes |
| Description | This platform hosts a collection of packages and functions in the cloud that support the remote access of home energy management system and its associated XAI interfaces. It is a part of the CHAI field trial enabling end-users to interact with the underlying AI-based IoT system for smart homes with functions of XAI and cyber attach identification. A comprehensive interactive interfaces and notification pages have been developed, allowing end-users to (i) enter their own schedules for their home energy devices, (ii) to see the actual cost/savings of such changes at real-time, and (iii) to be able to identify any potential cyber attacks to the IoT system or to the devices. |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| Impact | The impact is being assessed through a field trial at homes. A series of interviews have been carried out and qualitative analysis will be done soon. |
| URL | https://github.com/chai-project |