{"total":30,"rows":[{"id":"2112.04359","title":"Ethical and social risks of harm from Language Models","created":"2021-12-08","cited_by_count":966,"area":null},{"id":"2101.09995","title":"Re-imagining Algorithmic Fairness in India and Beyond","created":"2021-01-25","cited_by_count":104,"area":null},{"id":"2310.00907","title":"The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice","created":"2023-10-02","cited_by_count":87,"area":null},{"id":"2102.04257","title":"Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities","created":"2021-02-03","cited_by_count":40,"area":null},{"id":"2105.01774","title":"Envisioning Communities: A Participatory Approach Towards AI for Social Good","created":"2021-05-04","cited_by_count":30,"area":null},{"id":"2206.14983","title":"A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms","created":"2022-06-30","cited_by_count":30,"area":null},{"id":"2210.03535","title":"From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML","created":"2022-10-06","cited_by_count":27,"area":null},{"id":"2111.01122","title":"Stakeholder Participation in AI: Beyond \"Add Diverse Stakeholders and Stir\"","created":"2021-11-01","cited_by_count":26,"area":null},{"id":"2202.13028","title":"Healthsheet: Development of a Transparency Artifact for Health Datasets","created":"2022-02-26","cited_by_count":23,"area":null},{"id":"2210.02667","title":"A Human Rights-Based Approach to Responsible AI","created":"2022-10-06","cited_by_count":20,"area":null},{"id":"2203.09597","title":"Towards Responsible Natural Language Annotation for the Varieties of Arabic","created":"2022-03-17","cited_by_count":14,"area":null},{"id":"2306.09871","title":"Going public: the role of public participation approaches in commercial AI labs","created":"2023-06-16","cited_by_count":11,"area":null},{"id":"2306.13738","title":"Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints","created":"2023-06-23","cited_by_count":11,"area":null},{"id":"2308.02435","title":"Designing Fiduciary Artificial Intelligence","created":"2023-07-27","cited_by_count":8,"area":null},{"id":"2409.03632","title":"Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2301.05753","title":"Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities","created":"2023-01-13","cited_by_count":5,"area":null},{"id":"2212.07877","title":"Manifestations of Xenophobia in AI Systems","created":"2022-12-15","cited_by_count":4,"area":null},{"id":"2411.00179","title":"What Makes An Expert? Reviewing How ML Researchers Define \"Expert\"","created":"2024-10-31","cited_by_count":4,"area":null},{"id":"2211.04602","title":"System Safety Engineering for Social and Ethical ML Risks: A Case Study","created":"2022-11-08","cited_by_count":2,"area":null},{"id":"2302.02972","title":"Concrete Safety for ML Problems: System Safety for ML Development and Assessment","created":"2023-02-06","cited_by_count":2,"area":null},{"id":"2303.08177","title":"The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development","created":"2023-03-14","cited_by_count":2,"area":null},{"id":"2305.13485","title":"Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2603.05723","title":"Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach","created":"2026-03-05","cited_by_count":2,"area":null},{"id":"2601.22769","title":"Beyond Abstract Compliance: Operationalising trust in AI as a moral relationship","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2211.12434","title":"Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2304.06031","title":"Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders","created":"2023-03-22","cited_by_count":0,"area":null},{"id":"2309.15839","title":"Examining the Values Reflected by Children during AI Problem Formulation","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2403.06031","title":"FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition","created":"2024-03-09","cited_by_count":0,"area":null},{"id":"2510.25974","title":"Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2605.27395","title":"Informing AI Policy Assessment using Large-Scale Simulation of Interventions","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}