United Nations Economic and Social Commission for Asia and the Pacific

HMI CI Toni Erskine is academic lead for a major collaboration on 'AI for Social Good', uniting the UN Economic and Social Council for the Asia-Pacific (UN ESCAP), Google, and the Association of Pacific Rim Universities. Toni, in collaboration with HMI staff, will assist in building out the multi-stakeholder network and policy insight briefs developed from the AI for Social Good Project and Summit.

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ACM FAccT 2022 Call For Papers

Call for Papers now open! ACM FAccT solicits work from a wide variety of disciplines, including computer science, statistics, law, social sciences, the humanities, and policy, and multidisciplinary scholarships on fairness, accountability and transparency in computational systems (broadly construed). We welcome contributions that consider dimensions beyond individual decisions, including equity and justice in systems, policy, and human rights. Click through for more information.

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World Economic Forum Quantum Computing Governance

World Economic Forum's Quantum Computing Governance Principles programme brings together a global multi-stakeholder community of experts from across public sector, private sector, academia and civil society to formulate principles and create a broader ethical framework for responsible and purpose-driven design and adoption of quantum computing technologies to drive positive outcomes for society.

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User Tampering in Reinforcement Learning Recommender Systems

This paper provides the first formalisation and empirical demonstration of a particular safety concern in reinforcement learning (RL)-based news and social media recommendation algorithms. This safety concern is what we call "user tampering" -- a phenomenon whereby an RL-based recommender system may manipulate a media user's opinions, preferences and beliefs via its recommendations as part of a policy to increase long-term user engagement.

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