Democratic & Participatory AI Papers
Explore cutting-edge papers on democratic and participatory approaches to AI, addressing inclusive decision-making, ethical frameworks, community involvement, and more in our comprehensive collection.
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Towards Democratizing AI: A Comparative Analysis of AI as a Service Platforms and the Open Space for Machine Learning Approach
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- Dennis Rall, Bernhard Bauer, Thomas Fraunholz
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust
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- Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris
Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI
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- Nanna Inie, Jeanette Falk, Steven Tanimoto
Requirements Engineering Framework for Human-centered Artificial Intelligence Software Systems
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- Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy
Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series
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- Ian Stewart, Katherine Keith
Challenges and Barriers of Using Low Code Software for Machine Learning
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- Md Abdullah Al Alamin, Gias Uddin
Power to the People? Opportunities and Challenges for Participatory AI
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- Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed