Good AI for the Present of Humanity Democratizing AI Governance
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What do Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and technology. One similarity between AI Ethics and Cyberpunk literature is that both seek to explore future social and ethical problems that our technological advances may bring upon society. In recent years, an increasing number of ethical matters involving AI have been pointed and debated, and several ethical principles and guides have been suggested as governance policies for the tech industry. However, would this be the role of AI Ethics? To serve as a soft and ambiguous version of the law? We would like to advocate in this article for a more Cyberpunk way of doing AI Ethics, with a more democratic way of governance. In this study, we will seek to expose some of the deficits of the underlying power structures of the AI industry, and suggest that AI governance be subject to public opinion, so that ‘good AI’ can become ‘good AI for all.’
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If citizens are to benefit from social media platforms and AI tools as a means for enhancing democratic engagement by combating disinformation, better inclusion of the most diverse categories of citizens is desirable to help identify socially critical AI problems.
“if citizens are to benefit from social media platforms and AI tools as a means for enhancing democratic engagement in the online context by combating disinformation, better inclusion of most diverse categories of citizens is most desirable in order to help identify socially critical AI problems (Corrêa & Oliveira, 2021).”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Corrêa & Oliveira, 2021
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Experimental — accuracy not yet measuredExperts have stressed the importance of democratising the values behind the introduction of AI tools.
“experts have stressed the importance of democratising the values behind the introduction of AI tools”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Corrêa & Oliveira, 2021
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The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727 · see citing works
The global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220 · cited 3× · see citing works
“Hagendorff's (2020) meta-analysis of the main ethical guidelines published in the last five years showed that the main ethical principles cited by them were similar to Jobin et al. (2019) findings, accountability, explainability, and privacy, appearing in almost all guidelines.”
BackgroundMethodInfluentialPrinciples alone cannot guarantee ethical AI
Mittelstadt, B. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0114-4 · Cited by 1,886 · cited 1× · see citing works
“At a minimum, any compromise reached thus far around core principles for AI Ethics does not reflect meaningful consensus on a common practical direction for ‘good’ AI development and governance (Mittelstadt, 2019, p. 503).”
BackgroundWang, Y., & Kosinski, M. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000098 · Cited by 766 · cited 1× · see citing works
“A controversial study by Wang and Kosinski (2017), where the authors stated that ‘classification algorithms can infer sexual orientation from facial images’, caused a series of criticism from the LGBTQ+ community (Agüera y Arcas et al., 2018).”
BackgroundGreene, D., Hoffmann, A. L., & Stark, L. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2019.258 · Cited by 386 · see citing works
Artificial Intelligence Policy: A Roadmap
Calo, R. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3015350 · Cited by 191 · see citing works
Brief, A. P., Dukerich, J. M., Brown, P. R., & Brett, J. F. (1996) · Journal of Business Ethics · doi:10.1007/bf00705586 · Cited by 164 · see citing works
Why Teaching Ethics to AI Practitioners Is Important
Goldsmith, J., & Burton, E. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v31i1.11139 · Cited by 60 · see citing works
Flagged first, then by citations
Research works printed but not linked: 33
- Butler, S. (1863). Darwin Among the Machines. The Press, Christchurch, New Zealand. https://web.archive.org/web/20060524131242/http://www.nzetc.org/tm/scholarly/tei-ButFir-t1-g1-t1-g1-t4- body.html.
- Feenberg, A. (2017). Technosystem: The social life of reason. Cambridge, Massachusetts: Harvard University Press.
- Calhoun, C. (1995). Critical Social Theory: Culture, History, and the Challenge of Difference, Wiley-Blackwell.
- Rosa, H. (2010). High-Speed Society: Social Acceleration, Power, and Modernity. USA, Pennsylvania: Pennsylvania State University Press.
- Jameson, F. (1991). Postmodernism, Or, The Cultural Logic of Late Capitalism. USA, North Carolina: Duke University Press.
- Baudrillard, J. (1994). Simulacra and Simulation. USA, Michigan: University of Michigan Press.
- Tally, R. (2009). Radical Alternatives: The Persistence of Utopia in the Postmodern. In New Essays on the Frankfurt School of Critical Theory. A. J. Drake (ed.), Newcastle: Cambridge Scholars Publishing.
- Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety. ArXiv. https://arxiv.org/abs/1606.06565. · arXiv
- Boddington, P. (2017). Towards a code of ethics for artificial intelligence. Springer International Publishing. doi: 10.1007/978-3-319-60648-4. · DOI · Paper page
- McNamara, A., Smith, J., & Murphy-Hill, E. (2018). Does ACM's code of ethics change ethical decision making in software development? ESEC/FSE 2018: Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 729-733. doi: 10.1145/3236024.3264833. · DOI · Paper page
- Cleek, M. A., & Leonard, S. L. (1998). Can corporate codes of ethics influence behavior? Journal of Business Ethics, 17(6), 619-630. doi: 10.1023/A:1017969921581. · DOI
- Lere, J. C., & Gaumnitz, B. R. (2003). The Impact of Codes of Ethics on Decision Making: Some Insights from Information Economics. Journal of Business Ethics, 48, 365-379. doi: 10.1023/B:BUSI.0000005747.37500.c8. · DOI
- Osborn, M., Day, R., Komesaroff, P., & Mant, A. (2009). Do ethical Guidelines make a difference to decision- making? Internal medicine journal, 39(12), 800-805. doi: 10.1111/j.1445-5994.2009.01954.x. · DOI
- Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30, 99-120. doi: 10.1007/s11023-020-09526-7. · DOI
- Rességuier, A., & Rodrigues, R. (2020). AI ethics should not remain toothless! A call to bring back the teeth of ethics. Big Data & Society, 1-5. doi: 10.1177/2053951720942541. · DOI
- Jurić, M., Šandić, A., & Brcic, M. (2020). AI safety: state of the field through quantitative lens. 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). https://arxiv.org/ftp/arxiv/papers/2002/2002.05671.pdf.
- Soares, N., Fallenstein, B., Yudkowsky, E., & Armstrong, S. (2015). Corrigibility. In Artificial Intelligence and Ethics, T. Walsh (ed.), AAAI Technical Report WS-15-02. Palo Alto, CA: AAAI Press.
- Turner, A., Smith, L., Shah, R., & Tadepalli, P. (2020). Optimal Farsighted Agents Tend to Seek Power. ArXiv. https://arxiv.org/pdf/1912.01683.pdf. · arXiv
- Soares, N. (2016). Value Learning Problem. In Ethics for Artificial Intelligence Workshop, 25th International Joint Conference on Artificial Intelligence (IJCAI-2016), New York, NY, 9-15. https://intelligence.org/files/ValueLearningProblem.pdf.
- Russel, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. UK, London: Penguin.
- Chalmers, D. (2010). The singularity: A philosophical analysis. Journal of Consciousness Studies, 17, 9-10.
- Maxmen, A. (2018). Self-driving car dilemmas reveal that moral choices are not universal. Nature, 562(7728), 469- 470. doi:10.1038/d41586-018-07135-0. · DOI
- Eufrásio, J., & Goulart, G. (2020). Entregadores por app têm entre 19 e 40 anos e ganham, em média, R$ 2,1 mil. Correio Braziliense. https://www.correiobraziliense.com.br/app/noticia/cidades/2020/07/20/interna_cidadesdf,873540/entregad AI Ethics Journal 36. Antunes, R. (2009). Século XXI: nova era da precarização estrutural do trabalho? Infoproletários: degradação real do trabalho virtual. https://projetoaletheia.files.wordpress.com/2014/08/seculo-xxi-era-da-precarizacao.pdf.
- Irani, L. (2016). The hidden faces of automation. XRDS: Crossroads, The ACM Magazine for Students, 23(2), 34-37. doi: 10.1145/3014390. · DOI · Paper page
- Kincaid, H., Dupre, J., Wylie, A. Oxford: Oxford university press, 120-141.
- Elliott, K. C., & McKaughan, D. J. (2014). Nonepistemic values and the multiple goals of science. Philosophy of Science, 81(1), 1-21.
- Costanza-Chock, S. (2018). Design justice, AI, and escape from the matrix of domination. Journal of Design and Science. doi:10.21428/96c8d426. · DOI
- Carman, M., & Rosman, B. (2020). Applying a principle of explicability to AI research in Africa: should we do it? Ethics Inf Technol. doi: 10.1007/s10676-020-09534-2. · DOI
- Garcia, E. V. (2019). The Militarization of Artificial Intelligence: A Wake-Up Call for the Global South. SSRN Electronic Journal. doi: 10.2139/ssrn.3452323. · DOI
- Green, B. (2019). "Good" isn't good enough. In NeurIPS workshop on AI for social good. https://www.benzevgreen.com/wp-content/uploads/2019/11/19-ai4sg.pdf.
- ÓhÉigeartaigh, S. S., Whittlestone, J., Liu, Y., Zeng, Y., & Liu, Z. (2020). Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philos. Technol. doi: 10.1007/s13347-020-00402-x. AI Ethics Journal · DOI
- Mohamed, S., Png, M.T., & Isaac, W. (2020). Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence. Philosophy & Technology. doi: 10.1007/s13347-020-00405-8. · DOI · Paper page
- Bonawitz, K., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konečný, J., Mazzocchi, S., McMahan, B., Van Overveldt, T., Petrou, D., Ramage, D., & Roselander, J. (2019). Towards Federated Learning at Scale: System Design. ArXiv. Disponível em: https://arxiv.org/abs/1902.01046. · arXiv
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Sorted by citations
Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
- Authors
- Corrêa, N., & Fernandes de Oliveira, N.
- Affiliations
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- Venue
- AI Ethics Journal
- Publisher
- AI Robotics Ethics Society
- Published
- 2021-07-16
- Volume
- 2
- Issue
- 2
- ISSN
- 2690-1625 (ISSN-L)
- 2690-1633
- OpenAlex
- W3093014945
- Cited by
- 6
- References
- 8
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1 · 2022: 1
- FWCI
- 0.62
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- AI Ethics Journal (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Literary and Philosophical Studies
- Keywords
- AI governance, AI ethics, cyberpunk fiction, democracy, public opinion, posthumanism
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