Mitigar el discurs d’odi a Nigèria: les possibilitats de la intel·ligència artificial
Resum
El discurs d’odi s’ha convertit en una preocupació global. Les nacions mundials d’una manera o d’una altra han d’afrontar l’enorme problema d’aquest fenomen, perpetrat majoritàriament a través de nous mitjans de comunicació o plataformes de comunicació en línia. A Nigèria, la situació és tal que els governs dels nivells federal i estatal han continuat manifestant la seva preocupació per la creixent onada de discurs d’odi al país. Si bé la tecnologia propicia aquest fenomen, la tecnologia podria ser la solució. La tecnologia, sens dubte, ha continuat oferint a la humanitat diverses possibilitats per a una millor existència humana. Cada vegada s’està convertint en una part indispensable del dia a dia dels individus. El telèfon mòbil, per exemple, ha esdevingut imprescindible en la nostra vida quotidiana. S’utilitza com a màquina d’escriure, calculadora, calendari, rellotge, sistema de comunicació, base de dades interactiva, sistema de suport de decisions i molt més. En els darrers temps, l’impuls insaciable per la tecnologia ha arribat a un punt en què els dispositius actuen de manera intel·ligent. Els sistemes intel·ligents es desenvolupen ràpidament per utilitzar-los per millorar els esforços humans. Les tecnologies d’intel·ligència artificial (IA), impulsades per dades massives, estan alimentant un canvi sense precedents en moltes facetes dels esforços humans. Molts assoliments que utilitzen tècniques d’IA superen les capacitats humanes. Si les màquines poden reconèixer la parla i transcriure-la, tal com ho feien els mecanògrafs del passat, si els ordinadors poden identificar amb exactitud rostres o empremtes dactilars entre milions, si els cotxes es condueixen ells mateixos i si els robots estan lluitant en guerres, entre altres coses destacables, no hi ha dubte que hi ha una manera d’evitar el complex desafiament del discurs d’odi. Per tant, aquest estudi examina les possibilitats inherents a la intel·ligència artificial per mitigar el discurs d’odi a Nigèria.Paraules clau
mitigació, discurs d’odi, intel·ligència artificial, NigèriaReferències
BRITISH INSTITUTE OF HUMAN RIGHTS. (2012). Mapping study on projects against hate speech online. Strasbourg: Council of Europe. Retrieved from https://rm.coe.int/16807023b4
BROWN, A. (2017). “What is hate speech?”. Law and Philosophy, 36, 419-468.
COLES, T. (2018). Hate speech presents significant challenge for Facebook AI. ITProToday. Retrieved from https://www.itprotoday.com/cloud-data-center/hate-speech-presents-significant-challenge-facebook-ai
EHIKIOYA, A. (2018). “Presidency laments hate speeches by media houses”. The Nation Newspaper, 2 February [Online]. Retrieved from http://thenationonlineng.net/presidency-laments-hate-speeches-media-houses/
FALANA, F. (2017). Nigeria has enough laws to curb hate speeches by Femi Faana. Sahara Reporters. Retrieved from http://saharareporters.com/2017/08/26/nigeria-has-enough-laws-curb-hate-speeches-femi-faana
GALEON, D. (2017). Researchers are trying to use AI to put an end to hate speech. Futurism. Retrieved from https://futurism.com/researchers-use-ai-end-hate-speech
GANASCIA, J.-G. (2018). “Artificial intelligence: Between myth and reality”. The UNESCO Courier, 3, 7-9.
GAGLIARDONE, I; GAL, D; ALVES, T and MARTINEZ, G. (2015). Countering Online Hate Speech. Paris: UNESCO. Retrieved from http://unesdoc.unesco.org/images/0023/002332/233231e.pdf:UNESCO
HOPKO, A (2018). “Can artificial intelligence recognize hate speech? Cal-Berkeley researchers think so”. Cronkite News, 9 August [Online]. Retrieved from https://cronkitenews.azpbs.org/2018/08/09/can-artificial-intelligence-recognize-hate-speech/
HOWSTUFFWORKS (n.d). What is a computer algorithm? [Date consulted: 30/08/2018] https://computer.howstuffworks.com/what-is-a-computer-algorithm.htm
“NEW AI SYSTEM CAN DETECT SARCASM ON TWITTER BETTER THAN HUMANS” (2017). The Economic Times, 8 August [Online]. Retrieved from https://economictimes.indiatimes.com/magazines/panache/new-ai-system-can-detect-sarcasm-on-twitter-better-than-humans/articleshow/59969985.cms
NIGERIA STABILITY AND RECONCILIATION PROGRAMME (NSRP) (2017). How-to guide. Mitigating dangerous speech. Monitoring and countering dangerous speech to reduce violence. Retrieved from http://www.nsrp-nigeria.org/wp-content/uploads/2017/12/NSRP-How-to-Guide-Mitigating-Hate-and-Dangerous-Speech.pdf
NOLAN, L. (2017). “Google launches AI program to detect ‘hate speech’”. Breitbart, 23 February [Online]. Retrieved from https://www.breitbart.com/tech/2017/02/23/google-launches-ai-program-to-detect-hate-speech
OLOJA, M. (2018) “Whose hate speech threatens national unity?”. The Guardian, 22 July [Online]. Retrieved from https://guardian.ng/opinion/whose-hate-speech-threatens-national-unity/
ONANUGA, B. (2018). “Roots of hate speech, Remedies”. Paper presented at the Workshop on Hate Communication in Nigeria: Identifying Its Roots and Remedies, 22 February. Abuja: Nigerian Press Council.
ONYIBE, M. (2017). “Mr President: There must be better ways to curb hate speeches. Vanguard, 16 September [Online]. Retrieved from https://www.vanguardngr.com/2017/09/mr-president-must-better-ways-curb-hate-speeches
OPUSUNJU. O. (2017). “Nigerian government begins monitoring social media to tame hate speech”. ITEdgeNews, 26 January [Online]. Retrieved from https://itedgenews.ng/2018/01/26/nigerian-government-begins-monitoring-social-media-tame-hate-speech
PALFREY, J. (2018). Safe spaces, brave spaces diversity and free expression in education. Cambridge: MIT Press.
RING, C. E. (2013). Hate speech in social media: An exploration of the problem and its proposed solutions, PhD thesis, University of Colorado at Boulder. Retrieved from https://scholar.colorado.edu/jour_gradetds/15
ROGERS, E. (1995). Diffusion of innovations. New York: Free Press. 5th edition.
SAS (n.d.) Artificial Intelligence: What it is and why it matters. [Date consulted: 30/08/2018]. Retrieved from https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
STARR, S. (2004). “Understanding hate speech”. In: C. MÖLLER, A. AMOUROUX (eds.). The Media Freedom Internet Cookbook. Vienna: OSCE, 125-160.
TECHOPEDIA. (n.d). Artificial Intelligence (AI). [Date consulted: 30/08/2018]. Retrieved from https://www.techopedia.com/definition/190/artificial-intelligence-ai
TERDIMAN, D. (2018). Here’s how Facebook uses AI to detect many kinds of bad content. Fastcompany. Retrieved from https://www.fastcompany.com/40566786/heres-how-facebook-uses-ai-to-detect-many-kinds-of-bad-content
THOMAS, A. (2018). EJC joins forces with DataScouting to counter hate speech directed at journalists online. Medium. Retrieved from https://medium.com/we-are-the-european-journalism-centre/ejc-joins-forces-with-datascouting-to-counter-hate-speech-directed-at-journalists-online-60ed1c857a17
UTOMI, J.-M. (2018). “The controversial hate speech bill”. The Sun News, 8 March [Online]. Retrieved from http://sunnewsonline.com/the-controversial-hate-speech-bill
WALDRON, J. (2012). The harm in hate speech. Cambridge, MA and London: Harvard University Press.
WILSON, J. (2017). “Overcoming technophobia in communication education: The push-ICT approach”. Media and Communication / Mediji i komunikacije, 1 (7), 19-32.
WOLVERTON, T. (2018a). “Mark Zuckerberg says AI won’t be able to reliably detect hate speech for ‘five to 10’ years (FB)”, Pulse, 10 April [Online]. Retrieved from https://www.pulse.ng/bi/tech/tech-mark-zuckerberg-says-ai-wont-be-able-to-reliably-detect-hate-speech-for-five-to/fq74l83
WOLVERTON, T. (2018b). “AI is great at recognizing nipples, Mark Zuckerberg says (FB)”. Pulse, 25 April [Online]. Retrieved from https://www.pulse.ng/bi/tech/ai-is-great-at-recognizing-nipples-mark-zuckerberg-says-fb-id8304794.html
ZHANG, Z.; ROBINSON, D. and TEPPER J. (2018). “Detecting hate speech on Twitter using a convolution-GRU based deep neural network”. In: A. GANGEMI et al. (eds.). The Semantic Web. ESWC 2018 Satellite Events. 15th Extended Semantic Web Conference Heraklion, Crete, Greece, 3-7 June 2018. Cham: Springer, 745-760.
Publicades
Com citar
Descàrregues
Drets d'autor (c) 2019 Joseph Wilson, Rahila Jibrin

Aquesta obra està sota una llicència internacional Creative Commons Reconeixement 3.0.