by Trung Nguyen | Nov 10, 2023 | Materials, News
This semester, two groups of students from the School of Computer Science Capstone course (COMPSCI 399) worked on a project aiming at developing teaching materials for AI Ethics. The goal was to develop an interactive website that introduces students to the potential...
by Trung Nguyen | Oct 25, 2023 | Materials, News
(Figure courtesy of Dr Ali Hatamizadeh, the author of GradViT) Recent studies have shown that training samples can be recovered from the corresponding gradients. This phenomenon is called Gradient Inversion (GradInv) attacks. The principle behind GradInv is to learn...
by Trung Nguyen | Sep 20, 2023 | News, Research
Yogarajan, V., Dobbie, G., Leitch, S., & Reith, D. (2023). Developing a Fair AI-based Healthcare Framework with Feedback Loop. The 6th international workshop on Knowledge Discovery in Healthcare Data (KDH). Abstract Artificial intelligence (AI) driven...
by Katharina Dost | Sep 6, 2023 | Materials, News
Richmond Y. Wong, Michael A. Madaio, and Nick Merrill, “Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics,” Proceedings of the ACM on Human-Computer Interaction, vol. 7. doi: 10.1145/3579621 Abstract: Numerous toolkits have been...
by Katharina Dost | Aug 30, 2023 | News, Research
To foster collaboration and support the exchange of ideas and solutions on sustainable computing, we establish an international green computing hub. In recent years, the energy consumption that is needed for computing processes has become an increasing concern....
by Katharina Dost | Aug 23, 2023 | News, Opportunities
We are currently seeking for our project “Teaching Materials for AI Ethics”. No matter if you need a bachelor’s, honour’s, master’s, or summer project, this project can be a great opportunity. In this project, you will develop...
by Katharina Dost | Aug 16, 2023 | News, Research
(Image Source: Rens Dimmendaal & Johann Siemens / Better Images of AI / Decision Tree reversed / CC-BY 4.0) Cristian Gonzalez Prieto, Ruby Hosking, Jasmine Appleton, Susan Yates, Yu-Min Lin, Bede Oulaghan, Claudia Rivera-Rodriguez, Daniel Wilson, Gillian...
by Katharina Dost | Aug 9, 2023 | News, Research
Deep reinforcement learning has become increasingly relevant in fields such as recommendation systems, finance, and healthcare. While games have been a popular area of study in deep reinforcement learning due to their clearly defined spaces that fit within Markov...
by Katharina Dost | Jul 26, 2023 | News, Research
V. Yogarajan, G. Dobbie, and H. Gouk, “Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis,” ICLR Tinypapers, 2023. doi: 10.48550/arXiv.2304.11094. An indigenous perspective on the effectiveness of debiasing techniques for pre-trained...
by Katharina Dost | Jul 19, 2023 | Materials, News
Image source: Rens Dimmendaal & David Clode / Better Images of AI / Fish reversed / CC-BY 4.0 The content of this post is taken from: [Better Images of AI] Did you observe that common images used in news stories and marketing material about AI are often...
