Showing posts with label FAT/ML. Show all posts
Showing posts with label FAT/ML. Show all posts

Thursday, January 3, 2019

Keynote for FAT/Asia at the Digital Asia Hub in Hong Kong

Was fantastic to go back to Hong Kong after more than a decade! I gave a keynote at the Fairness, Accountability and Transparency (FAT) Asia forum organized by Digital Asia Hub, a new and dynamic center on technology innovation and impact in the Asian region. This is the Asian version of the multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.

It is led by Malavika Jayaram, the executive director of this hub and a brilliant legal mind on technology rights, ethics and responsibility. The theme for this conference goes beyond the futuristic enthusiasm for gadgets to more on responsibility with these new technologies. Their call explains how
"...there is growing concern about the implications of an algorithm-driven society. Scholars and thinkers are debating the potential impact of automated decision-making on equality, autonomy, and dignity, and addressing the need for oversight mechanisms that protect fundamental freedoms and human agency. A global community has converged around the themes of fairness, accountability, and transparency, as part of the attempt to address opaque systems, power and information asymmetries, and due process.

A series of FAT/ML conferences was instrumental in elevating a multidisciplinary approach (along with Ethics in NLP and similar convenings).  The FAT* initiative expanded the focus beyond machine learning and, since 2018, the (soon to be renamed) ACM FAT conference has been one of the most anticipated annual events in this area. Building on this community of scholarship and practice, we are thrilled to announce FAT/Asia!"

Very glad to be part of this exciting initiative.