Copertina

Participatory Approaches in AI Development and Governance: A Principled Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Parthasarathy, Ambreesh, Phalnikar, Aditya, Jauhar, Ameen, Somayajula, Dhruv, Krishnan, Gokul S, Ravindran, Balaraman
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Participatory Approaches in AI Development and Governance: Case Studies
di: Parthasarathy, Ambreesh, et al.
Pubblicazione: (2024)

Are Models Trained on Indian Legal Data Fair?
di: Girhepuje, Sahil, et al.
Pubblicazione: (2023)

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
di: Shailya, Krithi, et al.
Pubblicazione: (2025)

Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness
di: Parthasarathy, Ambreesh, et al.
Pubblicazione: (2025)

Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
di: Shailya, Krithi, et al.
Pubblicazione: (2025)

IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
di: S, Santhosh G, et al.
Pubblicazione: (2025)

A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
di: Cesaroni, Valeria, et al.
Pubblicazione: (2025)

Data-Driven and Participatory Approaches toward Neuro-Inclusive AI
di: Rizvi, Naba
Pubblicazione: (2025)

The Hourglass Revolution: A Theoretical Framework of AI's Impact on Organizational Structures in Developed and Emerging Markets
di: Balaraman, Krishna Kumar, et al.
Pubblicazione: (2026)

From Principles to Rules: A Regulatory Approach for Frontier AI
di: Schuett, Jonas, et al.
Pubblicazione: (2024)

Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
di: Barnett, Julia, et al.
Pubblicazione: (2025)

Approaches to Responsible Governance of GenAI in Organizations
di: Gandhi, Dhari, et al.
Pubblicazione: (2025)

AI Governance in the Context of the EU AI Act: A Bibliometric and Literature Review Approach
di: Kim, Byeong-Je, et al.
Pubblicazione: (2025)

The EU AI Act and the Rights-based Approach to Technological Governance
di: Pavlidis, Georgios
Pubblicazione: (2026)

Global AI Governance: Where the Challenge is the Solution- An Interdisciplinary, Multilateral, and Vertically Coordinated Approach
di: Zhong, Huixin, et al.
Pubblicazione: (2025)

The EU AI Act in Development Practice: A Pro-justice Approach
di: Hollanek, Tomasz, et al.
Pubblicazione: (2025)

Teaching Digital Accessibility in Computing Education: Views of Educators in India
di: Parthasarathy, et al.
Pubblicazione: (2024)

A Principled Approach for Data Bias Mitigation
di: Scarone, Bruno, et al.
Pubblicazione: (2024)

AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
di: Mittal, Anshu M, et al.
Pubblicazione: (2025)

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach
di: Fairstein, Roy, et al.
Pubblicazione: (2024)

Conversational Agents to Facilitate Deliberation on Harmful Content in WhatsApp Groups
di: Agarwal, Dhruv, et al.
Pubblicazione: (2024)

Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
di: Agarwal, Dhruv, et al.
Pubblicazione: (2025)

mFARM: Towards Multi-Faceted Fairness Assessment based on HARMs in Clinical Decision Support
di: Adappanavar, Shreyash, et al.
Pubblicazione: (2025)

TAPAS: A Pattern-Based Approach to Assessing Government Transparency
di: Zuijderwijk, Jos, et al.
Pubblicazione: (2025)

The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation Governance?
di: Kaivanto, Kim
Pubblicazione: (2025)

Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
di: Papademas, Michael, et al.
Pubblicazione: (2025)

Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment
di: Gao, Yizhu, et al.
Pubblicazione: (2026)

Sorting Methods for Online Deliberation: Towards a Principled Approach
di: Janssens, Nicolien, et al.
Pubblicazione: (2026)

An Activity-Theoretical Approach to Teacher Professional Development in Pedagogical AI Agent Design
di: Xin, Haiyang, et al.
Pubblicazione: (2026)

PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology
di: Cohen, Myke C., et al.
Pubblicazione: (2024)

Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance
di: Ahmed, Mohammed Omer Shakeel
Pubblicazione: (2026)

Human-AI Governance (HAIG): A Trust-Utility Approach
di: Engin, Zeynep
Pubblicazione: (2025)

From Informal Addresses to Reliable Places: Participatory Data Governance of Civic Addressing in Puerto Rico
di: Padilla, Juan A.
Pubblicazione: (2026)

Three Lessons from Citizen-Centric Participatory AI Design
di: Schneiders, Eike, et al.
Pubblicazione: (2026)

Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums?
di: Zhang, Luyang, et al.
Pubblicazione: (2026)

Programmable Participatory Governance -- A Formal Framework for Transparent, Accountable, and Citizen-Responsive Democratic Systems: From Deliberative Theory to Decentralised Architecture
di: Montenegro, Sergio
Pubblicazione: (2026)

RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI
di: Kim, Eugene, et al.
Pubblicazione: (2025)

A Graph Theoretic Approach to Analyze the Developing Metaverse
di: Dash, Anirudh
Pubblicazione: (2024)

In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance
di: Luka, Natalia, et al.
Pubblicazione: (2021)

Participatory design: A systematic review and insights for future practice
di: Wacnik, Peter, et al.
Pubblicazione: (2024)