- Handbook of Smart Cities published
- PC co-chair for Computer Graphics and Visual Computing (CGVC) 2021
Dr Kai Xu is the PC co-chair for the 39th Computer Graphics and Visual Computing (CGVC) conference, which just successfully completed in early September. The CGVC conference series is the annual conference organised by EuroGraphics UK chapter. It covers everything Visualisation related, including graphics, games, AR/VR, and data visualisation. This is the second year the conference is completely online because of the covid19. There is more information on the conference website.
- New Journal on Smart Cites and Society
- Outstanding Presentation at RSSC 2021 Conference
Congratulations to Sam Hepenstal, Leishi Zhang and William Wong, whose presentation titled ‘An Evaluation of System Transparency to Support Intellectual Judgements’ was awarded ‘Outstanding Oral Presentation’ at the Middlesex Research Student Summer Conference (RSSC) 2021! Below is the presentation abstract:
Artificial Intelligence (AI) systems can aid criminal intelligence analysis, for example by speeding up the retrieval and processing of large amounts of information. However, AI systems are typically opaque, obscuring the underlying processes that inform outputs. This is a problem when analysts make critical decisions and need to be held accountable. Therefore, past research on system transparency has emphasised ethical concerns, such as the needs for justifications and audit. In this paper, we demonstrate that transparency is also critical to supporting intellectual choice, with significant implications for insight. We report on a qualitative study with 10 intelligence analysts who performed an investigation using an AI conversational agent system. Half were provided with system transparency. Here we analyse differences in insight, understanding, and requirements expressed. Our results show how transparency is needed for tasks involving intellectual judgements. We find that, unless clearly presented, the importance of transparency is underappreciated by users.
- AdvMLTester by CyberASAP (Cyber Security Academic Startup Accelerator Programme)
Dr Mahdi Aiash and Dr Hector Menendez have obtained further funding to develop their AdvMLTester project into a commercial product. The project aims at detecting potentially exploitable vulnerabilities in machine learning systems.
The project is funded under CyberASAP (Cyber Security Academic Startup Accelerator Programme), a pre-seed accelerator programme in the cybersecurity ecosystem to convert academic ideas into commercial products in the cybersecurity space.