AESM 2022 : Algorithms towards Ethical and Privacy challenges in Social Media recommendation systems - ICDMW Orlando, Florida, USA
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Event Date: | August 20, 2022 - December 01, 2022 |
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Submission Deadline: | September 02, 2022 |
Notification of Acceptance: | September 23, 2022 |
Camera Ready Version Due: | October 01, 2022 |
Call for Papers |
https://sites.google.com/view/aesm2022
Workshop objectives & call for papers Fairness, ethics, and explainability are critical topics for the long-term health of online platforms and in turn, modern society. This workshop aims to bring together a diverse set of researchers and practitioners working on socially responsible social media and recommendation systems. We are broadly interested in both methodological and empirical research, in particular on works that study the varied ethical dilemmas, open algorithmic & practical challenges associated with implementing real-world systems. Topics of interest include but are not limited to - Ethical considerations on social platforms - Equity in AI-based systems—identification, definition, mitigation - Explainability, transparency, and trust in recommendation systems Example topics include scalable approaches to ethical content moderation, operationalizing different fairness considerations, robustness, and explainability in recommendation systems. By bringing together researchers and practitioners across industry and academia, our goal is to start an application-centered discussion on developing ethical and responsible online social platforms. *Speakers Joaquin Quiñonero Candela (AI Fellow, LinkedIn; previously led responsible AI at Meta) Swati Gupta (Georgia Tech) Manish Raghavan (Harvard =) MIT) Ankur Taly (Google) *Organizers Ying Xuan (LinkedIn) Sakshi Jain (LinkedIn) Hongseok Namkoong (Columbia University) *Program Committee William Cai (Stanford University) Shaunak Chatterjee (LinkedIn) Maria De-Arteaga (UTAustin) Fereshte Khani (Microsoft) Sarah Tan (Meta) Birjodh Tiwana (LinkedIn) |
Credits and Sources |
[1] AESM 2022 : Algorithms towards Ethical and Privacy challenges in Social Media recommendation systems - ICDMW |