649 citations · 1.8k across the 34 of their papers we have counts for
35 papers
Respectful Things: Adding Social Intelligence to 'Smart' Devices
Max Van Kleek, William Seymour, Reuben Binns +1
In this paper, we propose that the idea of devices respecting their end-users may serve as a strong design goal for highly personal and intimate smart devices. We ask what respect…
We Are Not There Yet: The Implications of Insufficient Knowledge Management for Organisational Compliance
Thomas Şerban von Davier, Konrad Kollnig, Reuben Binns +2
Since GDPR went into effect in 2018, many other data protection and privacy regulations have been released. With the new regulation, there has been an associated increase in indust…
Before and after China's new Data Laws: Privacy in Apps
Konrad Kollnig, Lu Zhang, Jun Zhao +1
Privacy in apps is a topic of widespread interest because many apps collect and share large amounts of highly sensitive information. In response, China introduced a range of new da…
Trust Explanations to Do What They Say
Neil Natarajan, Reuben Binns, Jun Zhao +1
How much are we to trust a decision made by an AI algorithm? Trusting an algorithm without cause may lead to abuse, and mistrusting it may similarly lead to disuse. Trust in an AI…
Projected Subnetworks Scale Adaptation
Siddhartha Datta, Nigel Shadbolt
Large models support great zero-shot and few-shot capabilities. However, updating these models on new tasks can break performance on previous seen tasks and their zero/few-shot uns…
Multiple Modes for Continual Learning
Siddhartha Datta, Nigel Shadbolt
Adapting model parameters to incoming streams of data is a crucial factor to deep learning scalability. Interestingly, prior continual learning strategies in online settings inadve…