On the public citation graph
Collective Constitutional AI: Aligning a Language Model with Public Input
0 signed · 98 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-51532-8_10openalex-snapshot
Learning Dynamic Robot-to-Human Object Handover from Human Feedback
inferredcites →https://doi.org/10.1093/biomet/39.3-4.324openalex-snapshot
RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS
inferredcites →https://doi.org/10.1145/3442188openalex-snapshot
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
inferredcites →https://doi.org/10.1145/3491102.3502004openalex-snapshot
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
inferredcites →https://doi.org/10.1145/3531146.3533083openalex-snapshot
The Values Encoded in Machine Learning Research
inferredcites →https://doi.org/10.1145/3531146.3533088openalex-snapshot
Taxonomy of Risks posed by Language Models
inferredcites →https://doi.org/10.1145/3531146.3533132openalex-snapshot
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
inferredcites →https://doi.org/10.1145/3555625openalex-snapshot
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior
inferredcites →https://doi.org/10.1145/3593013.3593987openalex-snapshot
In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India
inferredcites →https://doi.org/10.1145/3593013.3594016openalex-snapshot
AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
inferredcites →https://doi.org/10.1145/3593013.3594071openalex-snapshot
Going public: the role of public participation approaches in commercial AI labs
inferredcites →https://doi.org/10.1145/3593013.3594134openalex-snapshot
Queer In AI: A Case Study in Community-Led Participatory AI
inferredcites →https://doi.org/10.1145/3617694.3623261openalex-snapshot
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.81openalex-snapshot
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
inferredcites →https://doi.org/10.18653/v1/2021.woah-1openalex-snapshot
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)
inferredcites →https://doi.org/10.4324/9781003075028openalex-snapshot
The Ethics of Nanotechnology, Geoengineering and Clean Energy
inferredcites →https://doi.org/10.48550/arxiv.2106.10328openalex-snapshot
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4863148openalex-extracted
Enrolling Citizens: A Primer on Archetypes of Democratic Engagement with AI
inferred← citeshttps://doi.org/10.1002/aaai.70043openalex-snapshot
Human at the Center: A Framework for Human‐Driven AI Development
inferred← citeshttps://doi.org/10.1002/hast.70045openalex-snapshot
Delusion Is Not a Bug: AI, Psychiatry, and the Ethics of Uncertainty
inferred← citeshttps://doi.org/10.1002/icd.2514openalex-snapshot
Perspectives on the impact of generative AI on early‐childhood development and education
inferred← citeshttps://doi.org/10.1007/978-3-032-00686-8_31openalex-snapshot
Contemplative Superalignment
inferred← citeshttps://doi.org/10.1007/978-3-032-29272-8_3openalex-snapshot
The Chatbot Next Door: A Sociosemiotic Inquiry into the Naturalisation of ChatGPT
inferred← citeshttps://doi.org/10.1007/978-3-032-31319-5_25openalex-snapshot
Statutory AI: Aligning Large Language Models With Legal Norms
inferred← citeshttps://doi.org/10.1007/978-3-032-37979-5_5openalex-snapshot
Auditing the Pedagogical Stance of AI: Measuring and Validating Educational Value Orientations in Large Language Models
inferred← citeshttps://doi.org/10.1007/s00146-025-02474-9openalex-snapshot
AI preference prediction and policy making
inferred← citeshttps://doi.org/10.1007/s00146-026-02998-8openalex-snapshot
Speculative institutional grammars: rethinking the limits of participatory AI
inferred← citeshttps://doi.org/10.1007/s10994-026-07060-8openalex-snapshot
Survey on LLM Safety: Attacks, Defenses, Alignment, Metrics, and Guardrails
inferred← citeshttps://doi.org/10.1007/s11023-026-09767-yopenalex-snapshot
Using LLMs to Enhance Democracy
inferred← citeshttps://doi.org/10.1007/s11023-026-09783-yopenalex-snapshot
On Controllability in Agentic AI: A Survey
inferred← citeshttps://doi.org/10.1007/s11098-024-02249-wopenalex-snapshot
Beyond Preferences in AI Alignment
inferred← citeshttps://doi.org/10.1007/s11098-025-02300-4openalex-snapshot
A matter of principle? AI alignment as the fair treatment of claims
inferred← citeshttps://doi.org/10.1007/s13347-026-01057-wopenalex-snapshot
The Risk of Value Capture for AI Psychotherapy Chatbots
inferred← citeshttps://doi.org/10.1007/s13347-026-01184-4openalex-snapshot
When LLMs Threaten Democratic Autonomy
inferred← citeshttps://doi.org/10.1007/s43681-025-00865-8openalex-snapshot
Ten reasons why—the case for more and better AI regulation
inferred← citeshttps://doi.org/10.1007/s44163-025-00665-3openalex-snapshot
An exploration of a two-layered artificial intelligence: integrating neural codification with normative reasoning
inferred← citeshttps://doi.org/10.1007/s44206-025-00204-8openalex-snapshot
Exploring Laws of Robotics: A Synthesis of Constitutional AI and Constitutional Economics
inferred← citeshttps://doi.org/10.1007/s44206-025-00242-2openalex-snapshot
Emotional Dependence in Long-Term Use of Large Language Models
inferred← citeshttps://doi.org/10.1016/j.caeai.2025.100481openalex-snapshot
Evaluating large language models as raters in large-scale writing assessments: A psychometric framework for reliability and validity
inferred← citeshttps://doi.org/10.1016/j.poetic.2024.101966openalex-snapshot
Synthetic duality: A framework for analyzing generative artificial intelligence's representation of social reality
inferred← citeshttps://doi.org/10.1017/dap.2024.58openalex-snapshot
AI as a constituted system: accountability lessons from an LLM experiment
inferred← citeshttps://doi.org/10.1038/s41562-025-02309-zopenalex-snapshot
The impact of advanced AI systems on democracy
inferred← citeshttps://doi.org/10.1038/s41598-026-39292-yopenalex-snapshot
Evaluation of cross-ethnic emotion recognition capabilities in multimodal large language models using the reading the mind in the eyes test
inferred← citeshttps://doi.org/10.1073/pnas.2509766123openalex-snapshot
Statutory construction and interpretation for AI
inferred← citeshttps://doi.org/10.1080/02691728.2024.2379271openalex-snapshot
Machine Advisors: Integrating Large Language Models Into Democratic Assemblies
inferred← citeshttps://doi.org/10.1109/access.2026.3654907openalex-snapshot
Toward Constitutional Autonomy in AI Systems: A Theoretical Framework for Aligned Agentic Intelligence
inferred← citeshttps://doi.org/10.1109/iceta67772.2025.11280193openalex-snapshot
Case study: Creating escape games in Python using AI assistants
inferred← citeshttps://doi.org/10.1145/3696410.3714705openalex-snapshot
C3AI: Crafting and Evaluating Constitutions for Constitutional AI
inferred← citeshttps://doi.org/10.1145/3706598.3713329openalex-snapshot
Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey
inferred← citeshttps://doi.org/10.1145/3706598.3713482openalex-snapshot
Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse
inferred← citeshttps://doi.org/10.1145/3706598.3713633openalex-snapshot
Ontologies in Design: How Imagining a Tree Reveals Possibilities and Assumptions in Large Language Models
inferred← citeshttps://doi.org/10.1145/3706598.3714117openalex-snapshot
The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform
inferred← citeshttps://doi.org/10.1145/3706598.3714167openalex-snapshot
Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions
inferred← citeshttps://doi.org/10.1145/3715275.3732146openalex-snapshot
The Value of Disagreement in AI Design, Evaluation, and Alignment
inferred← citeshttps://doi.org/10.1145/3715275.3732194openalex-snapshot
AI Alignment at Your Discretion
inferred← citeshttps://doi.org/10.1145/3715928.3737487openalex-snapshot
Case Law Grounding: Using Precedents to Align Decision-Making for Humans and AI
inferred← citeshttps://doi.org/10.1145/3727166.3727191openalex-snapshot
An Agentic Framework for Compliant, Ethical and Trustworthy GenAI Applications in Healthcare
inferred← citeshttps://doi.org/10.1145/3746059.3747680openalex-snapshot
Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors
inferred← citeshttps://doi.org/10.1145/3772318.3791312openalex-snapshot
Reimagining Participatory Agile Development in Community-Industry Partnerships
inferred← citeshttps://doi.org/10.1145/3772318.3791689openalex-snapshot
PolicyPad: Collaborative Prototyping of LLM Policies
inferred← citeshttps://doi.org/10.1145/3772318.3791854openalex-snapshot
Rhetoric vs Responsibility: How Tech Companies Shape AI for Accessibility
inferred← citeshttps://doi.org/10.1145/3785651.3831540openalex-snapshot
When Culture Becomes Costume: How Africans Interpret and Contest AI-Generated Traditional Attire
inferred← citeshttps://doi.org/10.1145/3805689.3806453openalex-snapshot
Learning Alignment Principles Grounded in Human Reasons and Values
inferred← citeshttps://doi.org/10.1145/3805689.3806454openalex-snapshot
Reflect: Transparent Principle-Guided Reasoning for Constitutional Alignment at Scale
inferred← citeshttps://doi.org/10.1145/3805689.3806469openalex-snapshot
Ambiguity Collapse by LLMs: A Taxonomy of Epistemic Risks
inferred← citeshttps://doi.org/10.1145/3805689.3806510openalex-snapshot
The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation
inferred← citeshttps://doi.org/10.1145/3805689.3806808openalex-snapshot
AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
inferred← citeshttps://doi.org/10.1145/3805689.3812270openalex-snapshot
“Taking Stock at FAccT”: Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
inferred← citeshttps://doi.org/10.1145/3805689.3812298openalex-snapshot
You can't solve democracy in Q3: A Critical Analysis of Corporate Initiatives to Democratize AI
inferred← citeshttps://doi.org/10.1145/3805689.3812370openalex-snapshot
Online Communities as Collaborative Testbeds for Collective Alignment
inferred← citeshttps://doi.org/10.1145/3821402.3830183openalex-snapshot
Break It First: Stakeholder Participation in Quality Assurance for LLM Features
inferred← citeshttps://doi.org/10.1371/journal.pgph.0003862openalex-snapshot
Building models, building capacity: A review of participatory machine learning for HIV prevention
inferred← citeshttps://doi.org/10.1515/9783112245958-004openalex-snapshot
121Chapter 3 Why AI requires better regulation: Ten compelling arguments
inferred← citeshttps://doi.org/10.1609/aies.v8i3.36695openalex-snapshot
Against AI Jurisprudence: Large Language Models and the False Promises of Empirical Judging
inferred← citeshttps://doi.org/10.1613/jair.1.15278openalex-snapshot
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
inferred← citeshttps://doi.org/10.18260/1-2--58920openalex-snapshot
Artificial Intelligence-Assisted Academic Assessment: Reducing Subjectivity in Engineering Courses
inferred← citeshttps://doi.org/10.18553/jmcp.2026.32.9.1062openalex-snapshot
Comparative performance of large language models for appraising bias in real-world evidence studies
inferred← citeshttps://doi.org/10.2139/ssrn.5097286openalex-snapshot
Research Agenda for Sociotechnical Approaches to AI Safety
inferred← citeshttps://doi.org/10.2139/ssrn.5347484openalex-snapshot
The Wise Turtle and the Over-Confident Hare: A Critical Interdisciplinary Inquiry into Situated Ai Alignments
inferred← citeshttps://doi.org/10.21428/e4baedd9.5aaf489aopenalex-snapshot
Generative AI for Pro-Democracy Platforms
inferred← citeshttps://doi.org/10.2196/70199openalex-snapshot
Performance of GPT-4o and Claude in Medical Ethics Scenarios: Comparative Study
inferred← citeshttps://doi.org/10.2196/90854openalex-snapshot
Cloud-Based and Locally Deployed Language Models in Nursing and Health Care: An AI Act–Aligned Framework
inferred← citeshttps://doi.org/10.31234/osf.io/q6x23openalex-snapshot
Americans’ attitudes toward advancements in generative artificial intelligence
inferred← citeshttps://doi.org/10.3389/frai.2025.1654716openalex-snapshot
Artificial Creativity: from predictive AI to Generative System 3
inferred← citeshttps://doi.org/10.3390/asi9090187openalex-snapshot
Governing Agentic AI: The Human Values Alignment Framework (HVAF-A) as a Policy Tool
inferred← citeshttps://doi.org/10.3390/electronics15112278openalex-snapshot
Ethical Coordination of LLM Multi-Agent Systems
inferred← citeshttps://doi.org/10.5210/fm.v29i4.13642openalex-snapshot
Participation versus scale: Tensions in the practical demands on participatory AI
inferred← citeshttps://doi.org/10.56238/revgeov17n7-181openalex-snapshot
WHEN FAIR AI BECOMES UNFAIR: A COUNTERFACTUAL AUDIT OF POSITIONAL BIAS IN LARGE LANGUAGE MODELS FOR HIRING DECISIONS
inferred← citeshttps://doi.org/10.70777/si.v1i1.10917openalex-snapshot
Acceptable Use Policies for Foundation Models
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.