Going public: the role of public participation approaches in commercial AI labs

Author:

Groves Lara1ORCID,Peppin Aidan1ORCID,Strait Andrew1ORCID,Brennan Jenny1ORCID

Affiliation:

1. Ada Lovelace Institute, United Kingdom

Publisher

ACM

Reference81 articles.

1. "...it's your project, but it's not necessarily your work..."

2. [ 2 ] Sherry R. Arnstein . 1969. A ladder of citizen participation. Journal of the American Institute of Planners, 35, 4, (July 1 , 1969 ), 216–224. Publisher : Routledge _eprint: https://doi.org/10.1080/01944366908977225. doi: 10.1080/01944366908977225. 10.1080/01944366908977225 [2] Sherry R. Arnstein. 1969. A ladder of citizen participation. Journal of the American Institute of Planners, 35, 4, (July 1, 1969), 216–224. Publisher: Routledge _eprint: https://doi.org/10.1080/01944366908977225. doi: 10.1080/01944366908977225.

3. [ 3 ] Robert Atkinson , Doug Brake , Daniel Castro , Colin Cunliff , Joe Kennedy , Michael McLaughlin , and Joshua New . 2019 . Apolicymaker’s guide to the “techlash”–what it is and why it’s a threat to growth and progress | ITIF . Retrieved May 10, 2023 from https://itif.org/publications/2019/10/28/policymakers-guide-techlash/. [3] Robert Atkinson, Doug Brake, Daniel Castro, Colin Cunliff, Joe Kennedy, Michael McLaughlin, and Joshua New. 2019. Apolicymaker’s guide to the “techlash”–what it is and why it’s a threat to growth and progress | ITIF. Retrieved May 10, 2023 from https://itif.org/publications/2019/10/28/policymakers-guide-techlash/.

4. [ 4 ] Imon Banerjee et al. 2022. Reading race: AI recognises patient’s racial identity in medical images. The Lancet Digital Health 4 6 (June 2022) e406–e414. arXiv: 2107.10356[cs eess]. doi: 10.1016/S2589-7500(22)00063-2. 10.1016/S2589-7500(22)00063-2 [4] Imon Banerjee et al. 2022. Reading race: AI recognises patient’s racial identity in medical images. The Lancet Digital Health 4 6 (June 2022) e406–e414. arXiv: 2107.10356[cs eess]. doi: 10.1016/S2589-7500(22)00063-2.

5. [ 5 ] Julia Barnett and Nicholas Diakopoulos . 2022 . Crowdsourcing impacts: exploring the utility of crowds for anticipating societal impacts of algorithmic decision making . In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. (July 26 , 2022), 56–67. arXiv: 2207.09525[cs]. doi: 10.1145/3514094.3534145. 10.1145/3514094.3534145 [5] Julia Barnett and Nicholas Diakopoulos. 2022. Crowdsourcing impacts: exploring the utility of crowds for anticipating societal impacts of algorithmic decision making. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. (July 26, 2022), 56–67. arXiv: 2207.09525[cs]. doi: 10.1145/3514094.3534145.

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