Power to the People? Opportunities and Challenges for Participatory AI-Reference-Cited by-同舟云学术

Power to the People? Opportunities and Challenges for Participatory AI

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
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Author:

Birhane Abeba¹,Isaac William²,Prabhakaran Vinodkumar³,Diaz Mark³,Elish Madeleine Clare³,Gabriel Iason²,Mohamed Shakir²

Affiliation:

1. Mozilla Foundation, USA and School of computer science, University College Dublin, Ireland

2. DeepMind, United Kingdom

3. Google, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551624.3555290

Reference83 articles.

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2. Miguel Arana-Catania Felix-Anselm Van Lier Rob Procter Nataliya Tkachenko Yulan He Arkaitz Zubiaga and Maria Liakata. 2021. Citizen participation and machine learning for a better democracy. arXiv preprint arXiv:2103.00508(2021). Miguel Arana-Catania Felix-Anselm Van Lier Rob Procter Nataliya Tkachenko Yulan He Arkaitz Zubiaga and Maria Liakata. 2021. Citizen participation and machine learning for a better democracy. arXiv preprint arXiv:2103.00508(2021).

3. A Ladder Of Citizen Participation

4. Transforming society by transforming technology: the science and politics of participatory design

5. Brhmie Balaram , Tony Greenham , and Jasmine Leonard . 2018. Artificial Intelligence: real public engagement . London : RSA. https://www. thersa. org/discover/publications-and-articles/reports/artificial-intelligence-realpublic-engagement( 2018 ). Brhmie Balaram, Tony Greenham, and Jasmine Leonard. 2018. Artificial Intelligence: real public engagement. London: RSA. https://www. thersa. org/discover/publications-and-articles/reports/artificial-intelligence-realpublic-engagement(2018).

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