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Co-creating Artificial Intelligence: Designing and Enhancing Democratic AI Solutions Through Citizen Science Cover

Co-creating Artificial Intelligence: Designing and Enhancing Democratic AI Solutions Through Citizen Science

Open Access
|Dec 2024

References

  1. 1Ahmed, N. and Wahed, M. (2020) The de-democratization of AI: Deep learning and the compute divide in artificial intelligence research, arXiv preprint arXiv:2010.15581 [Preprint]. Available at: 10.48550/arXiv.2010.15581
  2. 2Albert, A., Balázs, B., Butkeviciene, E., Mayer, K., and Perelló, J. (2021) Citizen social science: New and established approaches to participation in social research, in K. Vohland et al. (eds) The Science of Citizen Science. Cham: Springer International Publishing, pp. 119138. Available at: 10.1007/978-3-030-58278-4_7
  3. 3Bergamini, D. (2020) Need for democratic governance of artificial intelligence. Doc. 15150 – Report – Working Document. Council of Europe, Committee on Political Affairs and Democracy. Available at: https://pace.coe.int/en/files/28742/html (Accessed: 16 January 2024).
  4. 4Birhane, A., Isaac, W., Prabhakaran, V., Díaz, M., Elish, M. C., Gabriel, I., and Mohamed, S. et al. (2022) Power to the people? opportunities and challenges for participatory AI, Equity and Access in Algorithms, Mechanisms, and Optimization, pp. 18. Available at: 10.48550/arXiv.2209.07572
  5. 5Buhmann, A. and Fieseler, C. (2021) Towards a deliberative framework for responsible innovation in artificial intelligence, Technology in Society, 64, p. 101475. Available at: 10.1016/j.techsoc.2020.101475
  6. 6Cavalier, D. and Kennedy, E.B. (eds) (2016) The rightful place of science: citizen science. First edition. Tempe, AZ: Consortium for Science, Policy & Outcomes. Available at: 10.1007/978-3-030-58278-4_10
  7. 7De Ketelaere, G.M. (2020) Mens versus machine, Pelckmans uitgevers. Available at: https://www.pelckmansuitgevers.be/mens-versus-machine.html (Accessed: 13 December 2023).
  8. 8European Commission - Directorate General for Communication (2021) Citizens’ knowledge, perceptions, values and expectations of science: report. LU: Publications Office. Available at: https://data.europa.eu/doi/10.2775/071577 (Accessed: 8 November 2023).
  9. 9Franzen, M., Kloetzer, L., Ponti, M., Trojan, J., and Vicens, J. (2021) Machine learning in citizen science: promises and implications, The Science of Citizen Science, 183. Available at: 10.1007/978-3-030-58278-4_10
  10. 10Gabriel, I. (2020) Artificial intelligence, values and alignment, Minds and Machines, 30(3), pp. 411437. Available at: 10.1007/s11023-020-09539-2
  11. 11Gillespie, N., Lockey, S. and Curtis, C. (2021) Trust in Artificial Intelligence: A five country study. The University of Queensland and KPMG Australia. Available at: https://kpmg.com/au/en/home/insights/2021/03/artificial-intelligence-five-country-study.html (Accessed: 14 December 2023).
  12. 12Haklay, M. (2018) Participatory citizen science, in S Hecker, M Haklay, A Bowser, Z Makuch, J Vogel & A Bonn (eds), Citizen Science: Innovation in Open Science, Society and Policy. London: UCL Press, pp. 5262. DOI: 10.2307/j.ctv550cf2.11
  13. 13Holder, C., Khurana, V. and Watts, M. (2018) Artificial intelligence: public perception, attitude and trust, London: Bristows LLP [Preprint].
  14. 14Kak, A. and Meyers West, S. (2023) AI Now 2023 Landscape: Confronting Tech Power. AI Now Institute. Available at: https://ainowinstitute.org/2023-landscape (Accessed 16 January 2024).
  15. 15Kennedy, B., Tyson, A. and Saks, E. (2023) Public awareness of artificial intelligence in everyday activities. Available at: https://policycommons.net/artifacts/3450412/public-awareness-of-artificial-intelligence-in-everyday-activities/4250673/ (Accessed: 13 December 2023).
  16. 16Khogali, H.O. and Mekid, S. (2023) The blended future of automation and AI: Examining some long-term societal and ethical impact features, Technology in Society, 73, p. 102232. Available at: 10.1016/j.techsoc.2023.102232
  17. 17Mahr, D., Göbel, C., Irwin, A., and Vohland, K. (2018) Watching or being watched-enhancing productive discussion between the citizen sciences, the social sciences and the humanities, in S Hecker, M Haklay, A Bowser, Z Makuch, J Vogel & A Bonn (eds), Citizen Science: Innovation in Open Science, Society and Policy. London: UCL Press, pp. 99109. Available at: 10.14324/111.9781787352339
  18. 18Meynaud, J. (1968) Technocracy. London: Faber (Society today and tomorrow).
  19. 19Müller, V.C. (2020) Ethics of artificial intelligence and robotics.
  20. 20Office for National Statistics. (2023) Public awareness, opinions and expectations about artificial intelligence. Available at: https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/articles/publicawarenessopinionsandexpectationsaboutartificialintelligence/julytooctober2023 (Accessed: 13 December 2023).
  21. 21Park, T. (2022) Making AI inclusive: 4 guiding principles for ethical engagement, Partnership on AI [Preprint].
  22. 22Ponti, M. and Seredko, A. (2022) Human-machine-learning integration and task allocation in citizen science, Humanities and Social Sciences Communications, 9(1), p. 48. Available at: 10.1057/s41599-022-01049-z
  23. 23Righetti, L., Madhavan, R. and Chatila, R. (2019) Unintended consequences of biased robotic and artificial intelligence systems [ethical, legal, and societal issues], IEEE Robotics and Automation Magazine, 26(3), pp. 1113. Available at: 10.1109/MRA.2019.2926996
  24. 24Sartori, L. and Bocca, G. (2023) Minding the gap(s): public perceptions of AI and socio-technical imaginaries, AI & SOCIETY, 38(2), pp. 443458. Available at: 10.1007/s00146-022-01422-1
  25. 25Sætra, H.S. (2020) A shallow defence of a technocracy of artificial intelligence: examining the political harms of algorithmic governance in the domain of government, Technology in Society, 62, p. 101283. Available at: 10.1016/j.techsoc.2020.101283
  26. 26Scantamburlo, T., et al. (2023) Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust, arXiv preprint arXiv:2308.09979 [Preprint]. Available at: 10.1109/TAI.2024.3461633
  27. 27Seger, E. (2023) What do we mean when we talk about “AI democratisation”? Available at: https://www.governance.ai/post/what-do-we-mean-when-we-talk-about-ai-democratisation (Accessed: 9 January 2024).
  28. 28Tauginienė, L., Butkevičienė, E., Vohland, K., Heinisch, B., Daskolia, M., Suškevičs, M. P., Balázs, B., et al. (2020) Citizen science in the social sciences and humanities: the power of interdisciplinarity, Palgrave Communications, 6(1), p. 89. Available at: 10.1057/s41599-020-0471-y
  29. 29Tijink, D. and Verbeek, P.-P. (2019) Aanpak begeleidingsethiek. Available at: https://ecp.nl/wp-content/uploads/2019/11/Aanpak-begeleidingsethiek.pdf.(Accessed 5 February 2024).
  30. 30Yu, P.K. (2020) The algorithmic divide and equality in the age of artificial intelligence’, Florida Law Review, 72(2), pp. 331390.
  31. 31Zoe Cremer, C. and Whittlestone, J. (2021) Artificial canaries: early warning signs for anticipatory and democratic governance of AI’, International Journal of Interactive Multimedia and Artificial Intelligence, 6(5), p. 100. Available at: 10.9781/ijimai.2021.02.011
DOI: https://doi.org/10.5334/cstp.732 | Journal eISSN: 2057-4991
Language: English
Submitted on: Feb 14, 2024
Accepted on: Sep 7, 2024
Published on: Dec 9, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Annelies Duerinckx, Carina Veeckman, Karen Verstraelen, Neena Singh, Jef Van Laer, Michiel Vaes, Charlotte Vandooren, Pieter Duysburgh, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.