The expansion of artificial intelligence and its impact on social dynamics
challenges and responsibilities
DOI:
https://doi.org/10.35699/2965-6931.2023.47727Keywords:
artificial intelligence, ethics in AI, technological transformation, social challenges and benefitsAbstract
Artificial Intelligence (AI) is driving a recent industrial revolution, transforming tasks from manual to those requiring intelligence. As we enter an enthusiastic phase about the benefits of AI, this is propelled by affordable access to processing and memory, emerging paradigms like deep neural networks, and vast available data. However, alongside the enthusiasm, legitimate concerns arise. Perspectives on impact vary, including the role of digital platforms, labor market transformation, and business digitization. Ethics in AI has become an unavoidable necessity, not merely an intellectual debate, addressing shared autonomy, privacy, cybersecurity, and socio-economic impacts. In the face of these challenges, collaboration across fields, governments, and organizations is crucial to establish robust ethical foundations and ensure that AI benefits humanity fairly.
References
ABRAMOVAY, Ricardo. O fim do trabalho: Entre a distopia e a emancipação. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
BERTALAN, V. G.; RUIZ, E. E. Predicting Judicial Outcomes in the Brazilian Legal System Using Textual Features. In: DHandNLP@PROPOR, 2020.
BUGHIN, Jacques et al. Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, 2018.
CARVALHO, André Carlos Ponce de Leon Ferreira de. Inteligência Artificial: Riscos, benefícios e uso responsável. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
COZMAN, Fabio Gagliardi. No canal da Inteligência Artificial: Nova temporada de desgrenhados e empertigados. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
DIETTERICH, T. G.; HORVITZ, E. Rise of concerns about AI: Reflections and directions. Communications of the ACM, v. 58, n. 10, p. 38-40, 2015.
DEVLIN, Jacob et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), p. 4171–4186, Minneapolis, Minnesota, 2019.
LUDERMIR, Teresa Bernarda. Inteligência Artificial e Aprendizado de Máquina: Estado atual e tendências. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
NETO, Victo José da Silva; BONACELLI, Maria Beatriz Machado; PACHECO, Carlos Américo. O Sistema Tecnológico Digital: Inteligência Artificial, Computação em Nuvem e Big Data. Revista Brasileira de Inovação, Campinas, v. 19, e0200024, p. 1-31, 2020.
SICHMAN, Jaime Simão. Inteligência Artificial e sociedade: Avanços e riscos. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
VASWANI, A. et al. Attention is all you need. In: Advances in Neural Information Processing Systems, 2017, p. 5998--6008.
VICARI, Rosa Maria. Influências das Tecnologias da Inteligência Artificial no ensino. Estudos Avançados, São Paulo, v. 35, n. 101, 2021.
