ARTIFICIAL INTELLIGENCE, LAW AND THE 2030 AGENDA FOR SUSTAINABLE DEVELOPMENT

Sthéfano Bruno Santos Divino

Resumo


This paper has the following research problem: how can Artificial Intelligence (AI) contribute to the achievement of the goals of Agenda 2030 for Sustainable Development? In order to satisfy the problem, the first section aims to address the relationship between AI and SDG. Among the objectives that can be most influenced by technologies, both positively and negatively, are the SDG's that have water, health, agriculture, and education as their guideline. This approach will be achieved through the description and demonstration of reports provided by the United Nations Educational, Scientific, and Cultural Organization (UNESCO). The second section of the report criticizes the reduction or eradication of adverse effects that AI can have on society. A case study from countries such as China, the United Kingdom, and Canada is used as a guideline since they have a strong influence on the scenario addressed. To this end, deductive and integrated research methods are used, as well as the technique of case study research. In the end, it is shown that AI is an essential factor in the equation posed by Agenda 2030, provided it is duly observed and regulated. Bibliographical research and the integrated research method will be used

Palavras-chave


Agenda 2030; Artificial intelligence; Sustainable development

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Referências


BAINS, N. S.; VIDAL, F. Canada-France Statement on Artificial Intelligence. 2018. Disponível em: https://www.international.gc.ca/world-monde/international_relations-relations_internationales/europe/2018-06-07-france_ai-ia_france.aspx?lang=eng Acesso em: 20 abr. 2020.

BESOLD, T.R., UCKELMAN, S.L. The what, the why, and the how of artificial explanations in automated decision-making. Disponível em: https://arxiv.org/pdf/1808.07074.pdf. Acesso em. 22 abr. 2020.

BISSIO, R. Vector of hope, source of fear. Spotlight on Sustainable Development. Chapter 3, p. 77-86, 2018. Disponível em: https://www.2030spotlight.org/sites/default/files/spot2018/chaps/Spotlight_Innenteil_2018_chapter3_bissio.pdf. Acesso em: 21 abr. 2020.

BOLUKBASI, T., Chang, K. W., ZOU, J. Y., SALIGRAMA, V. & KALAI, A. T. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. Advances in Neural Information Processing Systems, vol. 29, p. 4349–4357, 2016. Disponível em: https://arxiv.org/pdf/1607.06520.pdf. Acesso em 21 abr 2020.

BREWSTER, S. Wilting shrubs? Diagnose plant diseases with an app. MIT Technology Review. 2016. Disponível em: https://www.technologyreview.com/s/602792/wilting-shrubs-diagnose-plant-diseases-with-an-app/ Acesso em: 20 abr. 2020.

BRYNJOLFSSON, E. & MCAFEE, A. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company, 2014.

CHANG, Daniel. Concept-Oriented Deep Learning. 2018. Disponível em: https://arxiv.org/ftp/arxiv/papers/1806/1806.01756.pdf. Acesso em: 20 abr. 2020.

CHUCK, Gill. Artificial intelligence could help farmers diagnose crop diseases. 2017. Disponível em: http://news.psu.edu/story/429727/2016/10/04/research/artificial-intelligence-couldhelp-farmers-diagnose-crop-diseases Acesso em: 20 abr. 2020.

COCKBURN, I., HENDERSON, R. & STERN, S. The Impact of Artificial Intelligence on Innovation (NBER, 2018). https://doi.org/10.3386/w24449.

COURTLAND, R. Bias detectives: the researchers striving to make algorithms fair. Nature. 558, p. 357-360, 2018. Disponível em: https://media.nature.com/original/magazine-assets/d41586-018-05469-3/d41586-018-05469-3.pdf. Acesso em: 22 abr. 2020.

DING, J. How China Seeks to Govern AI. Medium. September 5, 2018. Disponível em https://medium.com/@ChallengesFnd/how-china-seeks-togovern- ai-baf1c0cd1a54 Acesso em 20 abr. 2020.

DIVINO, S. B. S. Reflexiones escépticas, principiológicas y económicas sobre el consentimiento necesario para la recolección y tratamiento de datos. Derecho PUCP, 83, 179 - 206, 29 nov. 2019. Disponível em: . Acesso em: 20. abr. 2020.

FAGGELLA, Daniel. In EDWARDS, Martin R.; EDWARDS, Kristen. Predictive HR Analytics: mastering the HR metric. New York: Kogan Page, 2019.

FORBES. The world richiest in 2020. Disponível em https://www.forbes.com/billionaires/ Acesso em: 21 abr. 2020.

FRANCESCATO, D. Globalization, artificial intelligence, social networks and political polarization: new challenges for community psychologists. Commun. Psychol. Glob. Perspect. 4, p. 20–41, 2018. http://siba-ese.unisalento.it/index.php/cpgp/article/viewFile/17684/15882

FRIEDLER, S. A. et., al. A comparative study of fairness-enhancing interventions in machine learning. Proceedings of the Conference on Fairness, Accountability, and Transparency, January 2019 Pages 329–338. Disponível em: https://doi.org/10.1145/3287560.3287589. Acesso em: 21 abr. 2020.

FUSO NERINI, F.; SLOB, A.; ERICSDOTTER ENGSTRÖM, R.; TRUTNEVYTE, E. A Research and Innovation Agenda for Zero-Emission European Cities. Sustainability 2019, 11, 1692. https://doi.org/10.3390/su11061692

GORALSKI, Margareth A.; TAN, Tay Keong. Artificial intelligence and sustainable development. The International Journal of Management Education. Vol. 18, 2020, p. 5

HALLER, S.; KARNOUSKOS, S.; SCHROTH, C. The Internet of Things in an Enterprise Context. Vienna: Springer, 2008.

HELBING, D. & POURNARAS, E. Society: build digital democracy. Nature 527, p. 33–34, 2015. Disponível em: https://www.nature.com/news/polopoly_fs/1.18690!/menu/main/topColumns/topLeftColumn/pdf/527033a.pdf Acesso em: 20 abr. 2020.

HELBING D. et al. Will Democracy Survive Big Data and Artificial Intelligence?. In: Towards Digital Enlightenment. Switzerland: Springer International Publishing, 2019. Disponível em: https://doi.org/10.1007/978-3-319-90869-4_7 Acesso em: 20 abr. 2020.

HOROWITZ, Ellis; SAHNI, Sartaj. Fundamentals of Data Structures. New York: W H Freeman & Co, 1983.

IM’NOVATION. Disponível em: https://www.imnovation-hub.com/society/types-of-smart-sensors-applied-to-agriculture/#0 Acesso em: 20 abr. 2020.

INTERNET LIVE STATUS. Google Search Statistics. 2020. Disponível em: https://www.internetlivestats.com/google-search-statistics/. Acesso em: 22 abr. 2020.

LEE, Kai-Fu. Inteligência Artificial. Rio de Janeiro: Globo Livros, 2019.

LEE, Kai-Fu. 'The Algorithm Will See You Now'. AISuperpowers. 2019. Disponível em: https://aisuperpowers.com/blog/kai-fu-lee Acesso em: 20 abr. 2020.

LOHR, S. From agriculture to art – the AI wave sweeps in. New York Times, Business Day. 2019. Disponível em: https://www.nytimes.com/2018/10/21/business/from-agriculture-to-art-the-ai-wave-sweeps-in.html Acesso em: 20 abr. 2020.

LYNCH, Shana. Andrew Ng: Why AI Is the New Electricity. Stanford Business. 2017. Disponível em: https://www.gsb.stanford.edu/insights/andrew-ng-why-ai-new-electricity Acesso em: 20 abr. 2020.

MOKYR, J. Secular Stagnation? Not in Your Life. In: TEULINGS, C.; BALDWIN, R. Secular Stagnation: Facts, Causes and Cures. London: Centre for Economic Policy Research, CEPR, 2014, p. 88.

PAYSA. Microsoft Senior Hardware Engineer Salaries. Disponível em: https://www.paysa.com/salaries/microsoft--senior-hardware-engineer. Acesso em: 21 abr. 2020.

MONTREAL. Montréal Declaration for a Responsible Development of Artificial Intelligence. 2020. Disponível em: https://www.montrealdeclaration-responsibleai.com/ Acesso em: 20 abr. 2020.

NAGANO, Aki. Economic Growth and Automation Risks in Developing Countries Due to the Transition Toward Digital Modernity. In: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Galway, Ireland, 2018, p. 42-50. Disponível em: https://doi.org/10.1145/3209415.3209442 Acesso em: 21 abr. 2020.

NAGLER, J., VAN DEN HOVEN, J. & HELBING, D. in HELBING D. (org). Towards Digital Enlightenment. Switzerland: Springer International Publishing, 2019, p. 41–46. https://doi.org/10.1007/978-3-319-90869-4_5.

O’CONNOR, Marry Catherine. How AI Could Smarten Up Our Water System. Medium. 2017. Disponível em: https://medium.com/s/ai-for-good/how-ai-could-smarten-up-our-water-system-f965b87f355a Acesso em: 20 abr. 2020.

OECD (2017) Science, Technology and Innovation Scoreboard 2017: the Digital Transformation. Organisation for Economic Co-operation and Development, Paris.

PNUD. O que são os objetivos de desenvolvimento sustentável? Disponível em: https://www.br.undp.org/content/brazil/pt/home/sustainable-development-goals.html. Acesso em: 20 abr. 2020.

PNUD. Plataforma Agenda 2030. Disponível em: http://www.agenda2030.org.br/sobre/. Acesso em: 20 abr. 2020.

POLIDO, Fabrício Bertini Pasquot. Inteligência artificial entre estratégias nacionais e a corrida regulatória global: rotas analíticas para uma releitura internacionalista e comparada. Rev. Fac. Direito UFMG, Belo Horizonte, n. 76, pp. 229-256, jan./jun. 2020. Disponível em: https://www.direito.ufmg.br/revista/index.php/revista/article/view/2067/1931 Acesso em: 20 abr. 2020.

RASP, Stephan; PRITCHARD, Michael S; GENTINE, Pierre. Deep learning to represent subgrid processes in climate models. PNAS. Vol. 115, n. 39, p. 9684-9689. Disponível em: https://doi.org/10.1073/pnas.1810286115. https://www.pnas.org/content/pnas/115/39/9684.full.pdf Acesso em: 20 abr. 2020.

RODOTÀ, Stefano. A vida na sociedade da vigilância: a privacidade hoje. Tradução de Danilo Doneda e Luciana Cabral Doneda. Rio de Janeiro: Renovar, 2008.

RUSSELL, Stuart. J.; NORVIG, Peter. Artificial Intelligence: a modern approach. 3. ed. New Jersey: Pearson Education, 2010, p. VIII.

SEARLE, J. Minds, brains, and programs. Behavioral and Brain Sciences. Vol. 3, n. 3. 1980, p. 417-424.

SÉVIGNY, B. Québec lays the groundwork for a world observatory on the social impacts of artificial intelligence and digital Technologies. 2018. Disponível em: http://www.scientifique-en-chef.gouv.qc.ca/en/nouvelles/quebec-jette-bases-dun-observatoire-mondial-impacts-societaux-de-lintelligence-artificielle-numerique/ Acesso em: 20 abr. 2020.

STARK Luke, PYLYSHYN, Zenon W. Artificial Intelligence (AI), cit.; ‘Here’s how Canada can be a global leader in ethical AI’. In: The Conversation. February 22, 2018. Disponível em https://theconversation.com/heres-how-canada-can-be-a-global-leader-in-ethical-ai-90991. Acesso em: 20 abr. 2020.

UNESCO, Artificial intelligence for sustainable development: challenges and opportunities for UNESCO’s science and engineering programmes. 2019.

UNESCO. Canada first to adopt strategy for artificial intelligence. 2018. Disponível em: http://www.unesco.org/new/en/member-states/single-view/news/canada_first_to_adopt_strategy_for_artificial_intelligence/ Acesso em: 20 abr. 2020.

UNESCO, Towards a monopolization of research in artificial intelligence? Natural Sciences Sector. 20 de julho de 2018. Disponível em: www.unesco.org/new/en/natural-sciences/sciencetechnology/single-view-sc-policy/news/towards_a_monopolization_of_research_in_artificial_ intellige Acesso em: 20 abr. 2020.

UNITED KINGDOM. AI Sector Deal One Year On. 2019. Disponível em: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/819331/AI_Sector_Deal_One_Year_On__Web_.pdf Acesso em: 20 abr. 2020.

UNITED KINGDOM. Government response to House of Lords Artificial Intelligence Select Committee’s Report on AI in the UK: Ready, Willing and Able? 2018. https://www.parliament.uk/documents/lords-committees/Artificial-Intelligence/AI-Government-Response2.pdf

VILLARS, R. L.; EASTWOOD, M.; OLOFSON, C. W. Big Data: What it is and Why You should care. White Paper. IDC: Analyze the Future. 2011. Disponível em: http://www.admin-magazine.com/HPC/content/download/5604/49345/file/IDC_Big%20Data_whitepaper_final.pdf Acesso em: 20 abr. 2020.

VINUESA, R., AZIZPOUR, H., LEITE, I. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun 11, 233 (2020). https://doi.org/10.1038/s41467-019-14108-y

WEGREN SK. The “left behind”: Smallholders in contemporary Russian agriculture. Journal of Agrarian Change, v. 18, n .4, p. 913-925, 2018. Disponível em: https://doi.org/10.1111/joac.12279. Acesso em: 21 abr. 2020.

WWWF. Artificial Intelligence: the Road Ahead in Low and Middle-Income Countries. World Wide Web Foundation. 2017. Disponível em: https://webfoundation.org/docs/2017/07/AI_Report_WF.pdf Acesso em: 20 abr. 2020.

YOUTUBE. Disponível em: https://www.youtube.com/intl/en-GB/about/press/. Acesso em: 22 abr. 2020.

ZANITELLI, Leandro Martins. Direito privado, justiça distributiva e o argumento da dupla distorção: uma revisão da literatura. Revista Brasileira de Políticas Públicas, Brasília, v. 5, nº 1, 2015 p. 317- 33.

ZLIOBAITE, I. Measuring discrimination in algorithmic decision making. Data Mining and Knowledge Discovery, v. 31, p. 1060–1089, 2017. Disponível em: https://doi.org/10.1007/s10618-017-0506-1 Acesso em 21 abr. 2020.




DOI: http://dx.doi.org/10.25245/rdspp.v9i1.800

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