What are you optimizing for? Aligning Recommender Systems with Human Values

22 July 2021

Dylan Hadfield-Menell

OffRL

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Papers citing "What are you optimizing for? Aligning Recommender Systems with Human Values"

24 / 24 papers shown

Title
MultiScale Contextual Bandits for Long Term Objectives Richa Rastogi Yuta Saito Thorsten Joachims OffRL 80 0 0 22 Mar 2025
Overcoming the Price of Anarchy by Steering with Recommendations Cesare Carissimo Marcin Korecki Damian Dailisan 79 0 0 26 Feb 2025
Recommender Systems for Sustainability: Overview and Research Issues Alexander Felfernig Manfred Wundara Thi Ngoc Trang Tran Seda Polat-Erdeniz Sebastian Lubos Merfat El Mansi Damian Garber Vu Trung Duong Le 99 13 0 04 Dec 2024
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes Arpit Agarwal Nicolas Usunier A. Lazaric Maximilian Nickel 73 3 0 29 May 2024
Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms Zachary Wojtowicz Shrey Jain Nicholas Vincent 70 0 0 23 May 2024
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable Omar Besbes Yash Kanoria Akshit Kumar 40 0 0 07 May 2024
Mapping the Design Space of Teachable Social Media Feed Experiences K. J. Kevin Feng Xander Koo Lawrence Tan Amy Bruckman David W. McDonald Amy X. Zhang 82 15 0 25 Jan 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms Nicole Immorlica Meena Jagadeesan Brendan Lucier OffRL 95 12 0 18 Jan 2024
The Value-Sensitive Conversational Agent Co-Design Framework Malak Sadek Rafael A. Calvo C. Mougenot 3DV 63 3 0 18 Oct 2023
Dynamic value alignment through preference aggregation of multiple objectives Marcin Korecki Damian Dailisan Cesare Carissimo 87 0 0 09 Oct 2023
Large Language Model Alignment: A Survey Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu Deyi Xiong LM&MA 106 205 0 26 Sep 2023
An Overview of Catastrophic AI Risks Dan Hendrycks Mantas Mazeika Thomas Woodside SILM 82 186 0 21 Jun 2023
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios Mantas Mazeika Eric Tang Andy Zou Steven Basart Jun Shern Chan Dawn Song David A. Forsyth Jacob Steinhardt Dan Hendrycks 77 10 0 18 Oct 2022
Quantifying attention via dwell time and engagement in a social media browsing environment Ziv Epstein Hause Lin Gordon Pennycook David G. Rand 46 6 0 21 Sep 2022
Fast online ranking with fairness of exposure Nicolas Usunier Virginie Do Elvis Dohmatob 66 19 0 13 Sep 2022
Modelling the Recommender Alignment Problem Francisco Carvalho 18 0 0 25 Aug 2022
Discovering Agents Zachary Kenton Ramana Kumar Sebastian Farquhar Jonathan G. Richens Matt MacDermott Tom Everitt CML 116 31 0 17 Aug 2022
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 137 35 0 25 May 2022
The dangers in algorithms learning humans' values and irrationalities Rebecca Gormann Stuart Armstrong 48 2 0 28 Feb 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 264 294 0 28 Sep 2021
User Tampering in Reinforcement Learning Recommender Systems Charles Evans Atoosa Kasirzadeh OffRL AAML 143 42 0 09 Sep 2021
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments L. Hoang Louis Faucon A. Jungo S. Volodin D. Papuc ... Felix Grimberg Vlad Nitu Christine Vossen Sébastien Rouault El-Mahdi El-Mhamdi 79 15 0 29 May 2021
Consequences of Misaligned AI Simon Zhuang Dylan Hadfield-Menell 74 75 0 07 Feb 2021
Beyond Our Behavior: The GDPR and Humanistic Personalization Travis Greene Galit Shmueli 8 1 0 31 Aug 2020