FAT/Asia 2019

Host: Digital Asia Hub | January 11, 2019 12:00 to January 12, 2019 12:00

Fairness, Accountability and Transparency in an algorithmic society

Part of the FAT/ML conferences that have brought about a multi-disciplinary approach to addressing transparency, fairness and accountability in algorithmic societies, Digital Asia Hub will be hosting the FAT/Asia Conference in Hong Kong on 11-12 January, 2019.

Digital Asia Hub has announced the following highlights, along with its call for applications:

Highlights:

  • Greatest Hits track, to bring some of the seminal papers from this community to Asia, and foster greater collaboration and engagement across regions;
  • An Open Questions in Asia session, inspired by this paper on machine learning problems in East Africa (with the aim of co-creating a similar paper that surfaces concrete research problems and gaps in Asia);
  • Tutorials from/to various disciplines, to build greater capacity and collaborations, especially across academic silos;
  • public panel and evening reception, to help mainstream these discussions and make them more accessible for people interested in innovation, policy, culture, and society.

Call for Abstracts:

We are calling for short abstracts that discuss problems and ideas relating to the general topics of fairness, accountability, and transparency. For an example of topics that are within scope, please see the topics covered by the ACM conference on Fairness, Accountability, and Transparency and the AAAI workshop on AI, Ethics, and Society.

We are particularly interested in research by Asian scholars and/or work that touches on Asian issues, comparative work that has implications for emerging economies, and ideas that speak to issues of inequality, development, welfare and public service delivery, policing, and marginalized communities.

Please submit abstracts of not more than 750 words to [email protected] by 18th December (11:59pm anywhere in the world). We have some scholarships to support travel. We will cluster by theme, towards curating a mix of papers/responses and panel discussions.

Go to Organizer Website

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Deepfake

/diːpfeɪk/

Artificial General Intelligence

/ˌɑːtɪfɪʃl ˈdʒɛn(ə)r(ə)l ɪnˈtelɪɡəns/

Artificial Intelligence

/ˌɑːtɪfɪʃl ɪnˈtelɪɡəns/

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