Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, et al.
ICLR 2024
This course explores how researchers and practitioners can engage ethically with Indigenous communities when developing AI- and data-intensive applications. Some key issues such as fair engagement, legal constraints, reciprocity, and informed consent are discussed based on the examples draw from the instructors’ experience. The course also examines good practices in terms of co-designing and co-development processes, data governance and sovereignty issues and systems, decolonial software licensing, and processes of technology transfer and appropriation. In its practical part, the course critically discusses examples and cases gathered from the audience to explore the diversity of issues and solutions when working with Indigenous communities.
Binchi Zhang, Yushun Dong, et al.
ICLR 2024
Natalia Martinez Gil, Kanthi Sarpatwar, et al.
NeurIPS 2023
Claudio Santos Pinhanez
NAACL 2024
Divya Ravi, Renuka Sindhgatta
CHI 2025