Dear Database Society of Japan members, Good day! I am Prof. RAGE Uday Kiran from the University of Aizu. In this email, I am circulating the Call for Papers for ICDM 2022 workshop: Algorithms towards Ethical and Privacy challenges in Social Media recommendation systems 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) -- Regards Prof. Rage Uday Kiran Associate Professor Database Systems Lab Division of Information Systems University of Aizu, Aizu-Wakamatsu, Japan. Lab number: 145-A Mobile no. +81 80 4834 0999 Phone no. (Lab) +81 242 37 2541 (Ext) 3115 ---------------------------------------------------------------------- When people throw stones at you, convert them into milestones.