O USO DE INTELIGÊNCIA ARTIFICIAL PARA A GERAÇÃO AUTOMATIZADA DE TEXTOS ACADÊMICOS: PLÁGIO OU META-AUTORIA?

Autores

  • Marcelo Araujo

DOI:

https://doi.org/10.21728/logeion.2016v3n1.p89-107

Palavras-chave:

Inteligência Artificial. Algoritmos. Plágio. Meta-autoria. Pesquisa em Filosofia. Sequências n-grama.

Resumo

Programas de computador vêm sendo usados para a geração de textos jornalísticos, publicados diariamente na imprensa de língua inglesa. Existem milhares de livros vendidos na livraria da Amazon que não foram escritos por pessoas, mas por algoritmos sofisticados que compilam textos sobre temas específicos a partir de dados disponíveis online. Recentemente, pelo menos dois grupos de pesquisadores, trabalhando de modo independente um do outro, publicaram suas pesquisas sobre o uso de algoritmos capazes de gerar hipóteses científicas para serem testadas empiricamente. Em 2014, a editora Springer constatou que mais de 120 textos, gerados por algoritmos, haviam sido publicados em algumas de suas revistas. Não deve transcorrer muito tempo, portanto, até que o uso de algoritmos para a geração de textos acadêmicos comece a se difundir nas universidades. O objetivo deste artigo é discutir algumas das implicações do uso de inteligência artificial para a produção de textos acadêmicos, especialmente textos de filosofia. Noções como “autoria” e “originalidade” terão de ser redefinidas no futuro.

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Referências

ADAMS, Tim. And the Pulitzer goes to... a computer. Computer-generated copy is already used in sports and business reporting - will machines soon master great storytelling? The Guardian, 28 de junho de 2015. Disponível em: <http://gu.com/p/4a5jq/sbl.>. Acesso em: 08 ago. 2016.

ANDERSON, Chris. The end of theory: the data deluge makes the scientific method obsolete. Wired, 23 de junho de 2008. Disponível em: <http://goo.gl/wpM1Xl>. Acesso em: 08 ago. 2016.

ANDERSON, Christopher. Towards a sociology of computational algorithmic journalism. New Media & Society, v. 15, n.7, p. 1005-1021, 2012. Disponível em: <http://nms.sagepub.com/content/early/2012/12/06/1461444812465137>, (doi 10.1177/1461444812465137). Acesso em: 08 ago. 2016.

BBC. Robot writes LA Times earthquake breaking news article. BBC News, 18 de março de 2014, Technology. Disponível em: < http://goo.gl/fyjdkt.>. Acesso em: 08 ago. 2016.

BENEDETTO, Dario et al. The unresonable effectiveness of mathematics in human sciences: The attribution of texts to Antonio Gramsci. In: EMMER, Michele (Ed.). Imagine math: between culture and mathematics. New York: Springer. 2012, p. 143-154.

BOHANNON, John.“Hoax-detecting software spots fake papers. Science, 27 de março de 2015, News. Disponível em: <http://goo.gl/wf1wB5 >. Acesso em: 08 ago. 2016.

BOSKER, Bianca. Philip Parker’s trick for authoring over 1 million books: don’t write. The Huffington Post, 11 de fevereiro de 2013. Disponível em:< http://goo.gl/R0z8kc.>. Acesso em: 08 ago. 2016.

BUCHER, Taina. ‘Machines don’t have instincts’: articulating the computational in journalism. New Media & Society, v.14, n. 2016 (doi 10.1177/1461444815624182). Acesso em: 08 ago. 2016. Disponível em: <http://nms.sagepub.com/content/early/2016/01/13/1461444815624182.full.pdf+html>. (Forthcoming articles published ahead of print). Acesso em: 08 ago. 2016.

CLEMENT, Ross; SHARP, David. Ngram and Bayesian classification of documents for topic and authorship. Literary and Linguistic Computing, v. 18, n. 4, p. 423-447, 2003. Disponível em: < https://dialnet.unirioja.es/servlet/articulo?codigo=805138>.

CLERWALL, Christer. Enter the robot journalist. Journalism Practice, v. 8, n.5, p. 519-531, 2014. Disponível em: <http://www.tandfonline.com/doi/full/10.1080/17512786.2014.883116>, (doi: 10.1080/17512786.2014.883116). Acesso em: 08 ago. 2016.

CROUCH, Ian. The sportswriting machine. New Yorker, 26 de março de 2015. Disponível em: <http://goo.gl/V7xHM8.>. Acesso em: 08 ago.2016.

EUDES, Yves. The journalists who never sleep: ‘Robot writers’ that can interpret data and generate stories are starting to appear in certain business and media sectors. The Guardian, 12 de setembro de 2014. Disponível em: <https://www.theguardian.com/technology/2014/sep/12/artificial-intelligence-data-journalism-media >. Acesso em: 08 ago. 2016.

FASSLER, Joe. Can the computers at Narrative Science replace paid writers? The Atlantic, 12 de abril de 2012. Disponível: <http://goo.gl/BzcR7B>. Acesso em: 08 ago. 2016.

FELDMAN, Ronen; SANGER, James. The text mining handbook: advanced approaches in analyzing unstructured data. Cambridge: Cambridge University Press, 2007.

FINLEY, Klint. In the future, robots will write news that’s all about you. Wired, 3 de junho de 2015, Disponível em <http://goo.gl/rY896s>. Acesso em: 08 ago. 2016.

FLEW, Terrry et al. The promise of computational journalism Journalism Practice, v. 6, n.2, p 157-171, 2012. Disponível em: <http://www.tandfonline.com/doi/abs/10.1080/17512786.2011.616655?journalCode=rjop20 >, (doi http://dx.doi.org/10.1080/17512786.2011.616655). Acesso em: 08 ago. 2016.

GIBNEY, Elizabeth. What Google’s winning Go algorithm will do next. AlphaGo’s techniques could have broad uses, but moving beyond games is a challenge. Nature, v. 531, n. 7594, p. 284-285, 15 de março de 2016, News & Comments. Disponível em: <http://www.nature.com/news/what-google-s-winning-go-algorithm-will-do-next-1.19573>, (doi:10.1038/531284a). Acesso em: 08 ago. 2016.

GROSS, Natalie. Does coding count as a foreign language? A Florida bill proposes to let credits from computer-coding classes count like those for Spanish or French courses - but many are skeptical. The Atlantic, 24 de fevereiro de 2016. Disponível em: <http://goo.gl/dxNCPI>. Acesso em: 08 ago. 2016.

HAN, Jiawei; KAMBER, Micheline; PEI, Jian. Data mining: concepts and techniques. Waltham: Elsevier, 2011.

HODSON, Hal. Supercomputers make discoveries that scientists can’t. No researcher could read all the papers in their field - but machines are making discoveries in their own right by mining the scientific literature. New Scientist, n. 2984, 27 de agosto de 2014. Disponível em: <https://goo.gl/7PUFlS>. Acesso em: Acesso em: 08 ago. 2016.

HOUVARDAS, John; STAMATATOS, Efstathios. N-Gram feature selection for authorship identification. In: ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATION - AIMSA, 12., 2006, Berlin. Proceedings… EUZENAT; DOMINGUE (Eds.). Lectures notes in computer science, 4183. Berlin: Spring-Verlag Berlin Heidelberg, 2006, p. 77-86. Disponível em: <http://www.icsd.aegean.gr/lecturers/stamatatos/papers/AIMSA2006.pdf >, (doi 10.1007/11861461_10). Acesso em: 08 ago. 2016.

HOWELLS, Chris. Disrupting even the world of academics. It is only a matter of time before algorithms start to augment a professor's research, taking it into realms previously unimaginable in academia. The Business Times, 18 de março de 2016. Disponível em: <http://goo.gl/JccjCX e https://goo.gl/88nYcz>. Acesso em: 08 ago. 2016.

JONES, Nicola. Computer science: The learning machines. Using massive amounts of data to recognize photos and speech, deep-learning computers are taking a big step towards true artificial intelligence. Nature, v. 505, n. 7482, p. 146-148, Jan. 2014. News & Comment. Disponível em: <http://www.nature.com/news/computer-science-the-learning-machines-1.1448 >, (doi:10.1038/505146a). Acesso em 08 ago. 2016.

JURAFSKY, Dan; MARTIN, James. Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. New Jersey: Prentice Hall, 2009.

KAA, Hille van der; KRAHMER, Emiel. Journalist versus news consumer: the perceived credibility of machine written news. COMPUTATION + JOURNALISM SYMPOSIUM, 2014, New York. Disponível em: <http://compute-cuj.org/cj 2014/cj2014_session4_paper2.pdf>. Acesso em 08 ago. 2016.

KASSARNIG, Valentin. Political speech generation. arXiv:1601-03313v2 [cs.CL] 20 Jan 2016, Repositório da Cornell University Library, 2016, 15p. Disponível em: <http://arxiv.org/abs/1601.03313>. Acesso em: 08 ago. 2016.

LANDHUIS, Esther. Information overload: How to manage the research-paper deluge? Blogs, colleagues and social media can all help. Nature, v. 535. n. 7612, p. 457-458, 21 de julho de 2016, Archive. Disponível em: <http://goo.gl/VYsPRk>, (doi:10.1038/nj7612-457a). Acesso em: 08 ago. 2016.

LEVY, Steven. Can an algorithm write a better news story than a human reporter? Wired, 24 de abril de 2012. Disponível em: <http://goo.gl/IDNx4v>. Acesso em: 08 ago. 2016.

LICHTARGE, Olivier; SPANGLER, W. Scott. Automated hypothesis generation based on mining scientific literature [vídeo]. VideoLectures.NET, 7 de outubro de 2014, disponível em: <http://goo.gl/QM37nd>. Acesso em: 08 ago. 2016.

MILLER, Ross. AP’s ‘robot journalists’ are writing their own stories now. The Verge, 29 de janeiro de 2015. Disponível em:<http://goo.gl/0Vmgnf>. Acesso em: 08 ago. 2016.

MIT TECHNOLOGY REVIEW. How an AI algorithm learned to write political speeches. In: MIT Technology Review, 19 de janeiro de 2016. Disponível em: <https://goo.gl/AF5A63>. Acesso em: 08 ago. 2016.

MOROZOV, Evgeny. A robot stole my Pulitzer! How automated journalism and loss of reading privacy may hurt civil discourse. Slate, 19 de março de 2012, disponível em: <http://goo.gl/Gt1LvR>. Acesso em: 08 ago. 2016.

MOSS, Richard. Creative AI: teaching computers to be reporters and storytellers. Gizmag, 9 de fevereiro de 2015. Disponível em: <http://goo.gl/WrpkVJ>. Acesso em: 08 ago. 2016.

NEW YORK TIMES. Did a human or a computer write this? A shocking amount of what we’re reading is created not by humans, but by computer algorithms. Can you tell the difference? New York Times, de março de 2015, Quiz. Disponível em <http://goo.gl/Do78LN>. Acesso em: 08 ago. 2016.

OREMUS, Will. The first news report on the L.A. earthquake was written by a robot. Slate, 14 de março de 2014, disponível em: <http://goo.gl/5NRZeT>. Acesso em: 08 ago. 2016.

PARKER, Philip. Method and apparatus for automated authoring and marketing. United States Patent and Trademark Office, US 20060064631 A1, Family ID: 36075377. Appl. No.: 11/261.631. Filed: October 31, 2005. [O documento contém informações técnicas sobre o algoritmo criado por Parker].

Disponível em: <http://goo.gl/biVDAf e http://goo.gl/Q4UYAF]>. Acesso em: 08 ago. 2016.

PARKER, Philip. Webster’s English to Brazilian Portuguese crossword puzzles. Las Vegas: Icon Group International, 2007.

PARKER, Philip. The computer teaches you. TEDx, Seattle, 2013. vídeo. Disponível em: <http://goo.gl/nf8ERt>. Acesso em: 08 ago. 2016.

PARKER, Philip. Can algorithms replace academics? INSEAD Knowledge, 2016 (Entrevista com Chris Howells, 15 de fevereiro de 2016). vídeo. Disponível em: <http://goo.gl/WzkqoI>. Acesso em: 08 de agosto de 2016.

PATEL, Neel V. A speechwriting algorithm provides a glimpse into the automated future of crowd-pleasing rhetoric. Inverse, 12 de fevereiro de 2016, disponível em: <https://goo.gl/NwRjXD>. Acesso em: 08 ago. 2016.

ROGERS, Adam. We asked a robot to write an obit for AI pioneer Marvin Minsky. Wired, 26 de janeiro de 2016. Disponível em: <http://goo.gl/O4f4uH>. Acesso em: 08 ago. 2016.

ROOSE, Kevin. Robots are invading the news business, and it’s great for journalists. New York, 11 de julho de 2014. Disponível em: <http://goo.gl/Cn6VjW>. Acesso em: 08 ago. 2016.

ROTH, Steffen. Fashionable functions: A Google ngram view of trends in functional differentiation (1800-2000). International Journal of Technology and Human Interaction, v.10, n.2, p. 34-58, 2014. < http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2491422>. Acesso em: 08 ago. 2016.

RUSSELL, Stuart J.; NORVIG, Peter. N-gram character models. In: ____. Artificial intelligence: a modern approach. 3. ed. New Jersey: Prentice Hall, 2010, p. 861-865.

SANTUCCI, Vieri G. et al. Cumulative learning through intrinsic reinforcements. In: CAGNONI, Stefano et al (Eds.). Evolution, complexity and artificial life. New York: Springer, 2014, p. 107-122.

SIMONITE, Tom. Robot journalist finds new work on Wall Street. Software that turns data into written text could help us make sense of a coming tsunami of data. MIT Technology Review, 9 de janeiro de 2015. Disponível em: <https://goo.gl/Se14Lq>. Acesso em: 08 ago. 2016.

SPANGLER, Scott et al. Automated hypothesis generation based on mining scientific literature. In: INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 30., 2014, New York. Proceedings... New York: Association for Computing Machinery - ACM, 2014, p. 1877-1886. Disponível em: <https://dl.acm.org/purchase.cfm?id=2623667&CFID=653329881&CFTOKEN=61287529>, (doi:10.1145/2623330.2623667).

THE ECONOMIST. Automated hypothesis generation. Computer says ‘try this’. A new type of software helps researchers decide what they should be looking for. The Economist, 4 de outubro de 2014. Disponível em: < http://goo.gl/itdKG5>. Acesso em: 08 ago. 2016.

THE NEW YORK TIMES. Did a human or a computer write this? The New York Times, 8 March, 2015, Sunday Review. Disponível em: <http://www.nytimes.com/interactive/2015/03/08/opinion/sunday/algorithm-human-quiz.html?_r=0>. Acesso em: 08 ago. 2016.

TURING, A. M. Computing machinery and intelligence. Mind, n.49, p.: 433-460, 1950. Disponível em <http://www.csee.umbc.edu/courses/471/papers/turing.pdf>. Acesso em: 08 ago. 2016.

VAN DALEN, Arjen. The algorithms behind the headlines: How machine-written news redefines the core skills of human journalists. Journalism Practice, v. 6, n.5/6, p. 648-658, 2012. Disponível em: <http://www.tandfonline.com/doi/abs/10.1080/17512786.2012.667268?journalCode=rjop20>, (doi: 10.1080/17512786.2012.667268). Acesso em: 08 ago. 2016.

VAN NOORDEN, Richard. Publishers withdraw more than 120 gibberish papers: conference proceedings removed from subscription databases after scientist reveals that they were computer-generated. Nature, 24 de fevereiro de 2014, News. Disponível em: <http://www.nature.com/news/publishers-withdraw-more-than-120-gibberish-papers-1.14763>, (doi:10.1038/nature.2014.14763). Acesso em: 08 ago. 2016.

VOYTEK, Jessica; Bradley, VOYTEK. Automated cognome construction and semi-automated hypothesis generation. Journal of Neuroscience Methods, v. 208, n. 1, p. 92-100, Jun. 2012. Disponível em: <http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376233/>, (doi:10.1016/j.jneumeth.2012.04.019). Acesso em: 08 ago. 2016.

WARDRIP-FRUIN, Noah. N-gram. In ____: Expressive processing: digital fictions, computer games, and software studies. Cambridge (Mass): The MIT Press, 2012, p. 203-205.

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Publicado

30/09/2016

Como citar

ARAUJO, M. O USO DE INTELIGÊNCIA ARTIFICIAL PARA A GERAÇÃO AUTOMATIZADA DE TEXTOS ACADÊMICOS: PLÁGIO OU META-AUTORIA?. Logeion: Filosofia da Informação, Rio de Janeiro, RJ, v. 3, n. 1, p. 89–107, 2016. DOI: 10.21728/logeion.2016v3n1.p89-107. Disponível em: https://revista.ibict.br/fiinf/article/view/3012. Acesso em: 28 mar. 2024.

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