Referencias:
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2. Future of Life Institute, (n.d.) Asilomar AI Principles. Extraído de https://futureoflife.org/ai-principles/
3. Consejo de Estado República Popular de China (2017, Julio 8). China’s next Generation Artificial Intelligence Development Plan. Extraído de http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm
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5. Reisinger, R. (2019, enero 19). A.I. Expert Says Automation Could Replace 40% of Jobs in 15 Years. Extraído de https://fortune.com/2019/01/10/automation-replace-jobs/
6. IEE Computational Intelligence Society (n.d.) IEEE Transactions on Neural Networks and Learning Systems. Extraído de https://cis.ieee.org
7. Science Daily (n.d.) Artificial Intelligence Terms. Extraído de https://www.sciencedaily.com/terms/artificial_intelligence.htm
8. Burkov A. (2019). The Hundred-Page Machine Learning Book. Extraído de https://leanpub.com/theMLbook
9. Techopedia (n.d.). The Ultimate Guide to Applying AI in Business / AI Terms. Extraído de https://www.techopedia.com/what-most-people-dont-understand-about-ai-and-the-ultimate-guide-to-applying-it-in-business/2/34057
10. Woirol, G.R. (1996). The Technological Unemployment and Structural Unemployment Debates. Extraído de https://books.google.com.do/books/about/The_Technological_Unemployment_and_Struc.html?id=KorYAAAAIAAJ&redir_esc=y
11. Harari, Y.N. (2019). 21 Lessons for the 21st Century. NYC, NY:Spiegel & Grau
12. IEE Explore Digital Library (n.d.). Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions. Extraído de https://ieeexplore.ieee.org/document/6180219
13. McKinsey Global Institute. (2017, diciembre). Jobs Lost, Jobs Gained: Workforce Transitions In A Time Of Automation. Extraído de https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi%20jobs%20lost-jobs%20gained_report_december%202017.ashx
14. Baxter, M. (2018, noviembre 28). AI won’t destroy jobs it will transform them. Extraído de https://www.information-age.com/ai-wont-destroy-jobs-123476901/
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16. Diéz Díaz, F. (n.d.). CTIC Inteligencia Artificial y Big Data. Exraído de https://www.fundacionctic.org/es/tecnologias/inteligencia-artificial-y-big-data
17. Infobae. (2019, septiembre 7). Inteligencia artificial y Big Data: ¿Estamos preparados para la revolución digital?. Extraído de https://www.infobae.com/def/desarrollo/2019/09/07/inteligencia-artificial-y-big-data-estamos-preparados-para-la-revolucion-digital/
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20. Khosla, V. (2014, noviembnre 6). The Next Technology Revolution Will Drive Abundance And Income Disparity. Extraído de https://www.forbes.com/sites/valleyvoices/2014/11/06/the-next-technology-revolution-will-drive-abundance-and-income-disparity/#12ac52cf1882
21. Eric A. Posner & E. Glen Weyl. (n.d.). Data as Labor. Extraído de http://radicalmarkets.com/chapters/data-as-labor/
22. Mazzucato, M. (2018, junio 27). Let’s make private data into a public good. Ectraído de https://www.technologyreview.com/s/611489/lets-make-private-data-into-a-public-good/amp/
23. Khan, F. (2018, noviembre 19). Data As Labor: Rethinking Jobs In The Information Age. Extraído de https://blog.singularitynet.io/data-as-labour-cfed2e2dc0d4
24. Andreu Perez, J., Deligianni, F., Ravi, D. y Yang, G. (n.d) Artificial Intelligence and Robotics. Extraído de https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&ved=2ahUKEwjXmfGMh4vlAhUxVt8KHdyBAwIQFjAJegQIARAC&url=https%3A%2F%2Farxiv.org%2Fpdf%2F1803.10813&usg=AOvVaw3yP4Drn9YadDnDEVPCEowF
25. Raghavan, M., Barocas, S., Kleinberg, J.M., Levy, K. (2019). Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. Extraído de https://www.semanticscholar.org/paper/Mitigating-Bias-in-Algorithmic-Employment-Claims-Raghavan-Barocas/aca38d20800f70e10d2e233511e83ee2aa994685
26. McCorduck, P. (2004). Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence. Extraído de https://monoskop.org/images/1/1e/McCorduck_Pamela_Machines_Who_Think_2nd_ed.pdf
27. Organización de los Estados Americanos Comisión Interamericana de Derechos Humanos. (2005, abril 15). Caso 12.189 Dilcia Vean y Violeta Bosico República Dominicana. ALEGATOS FINALES ESCRITOS DE LA CIDH. Extraído de https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwi_iqrd9PHkAhVLbKwKHS6zC0AQFjAAegQIABAC&url=http%3A%2F%2Fwww.corteidh.or.cr%2Fdocs%2Fcasos%2Fyeanbosi%2Fal_cidh.pdf&usg=AOvVaw2It4xHbSeqzUHX-LoLg_rA
28. International Telecommunication Union (2019). United Nations Activities on Artificial Intelligence (AI). Extraído de https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwj3qJHk38TlAhUSVa0KHSmmDUoQFjAAegQIARAC&url=https%3A%2F%2Fwww.itu.int%2Fdms_pub%2Fitu-s%2Fopb%2Fgen%2FS-GEN-UNACT-2019-1-PDF-E.pdf&usg=AOvVaw0vy3YGUGMkYwgOvlslujJM
29. Selfridge, P., Ferose, VR y Kumar, A. (2018, octubre 24). From Digital Government To Intelligent Government Extraído de https://www.digitalistmag.com/digital-economy/2018/10/24/from-digital-government-to-intelligent-government-06191223
30. Ng, A. (2018, diciembre 13). AI Transformation Playbook: How to lead your company into the AI era. Extraído de https://landing.ai/ai-transformation-playbook/
Otros recursos:
Compilación de Estrategias Nacionales de Inteligencia Artificial
Buolamwini, J. y Gebru T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Extraído de http://proceedings.mlr.press/v81/buolamwini18a.html
Cave S. y S Óh Éigeartaigh, S. (2018). An AI Race for Strategic Advantage: Rhetoric and Risks. Extraído de https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=2ahUKEwi2282a64zlAhVQT6wKHUaaBLUQFjACegQIBBAC&url=http%3A%2F%2Fwww.aies-conference.com%2F2018%2Fcontents%2Fpapers%2Fmain%2FAIES_2018_paper_163.pdf&usg=AOvVaw2s2VOGyu6tA9OnGrQ-9nKZ
Chouldechova, A., Benavides-Prado, D., et.al. (2018). A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. Extraído de http://proceedings.mlr.press/v81/chouldechova18a.html
Domingos, P. (13 de febrero de 2018). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Instrumentation & Measurement Society
Gebru, T., Morgenstern,J., et.al. (2019, abril 14). Datasheets for Datasets. Extraído de https://arxiv.org/abs/1803.09010
Hao, K. (n.d.). Mit Technology Review. https://www.technologyreview.com/profile/karen-hao/
Hutchinson, B. y Mitchell, M. 50 Years of Test (Un)fairness: Lessons for Machine Learning. Extraído de https://arxiv.org/abs/1811.10104
Instrumentation & Mnagement Society - IEEEE. (2017, octubre 19). Society Conferences Management Guidelines. Extraído de (https://ieeexplore.ieee.org/abstract/document/8662743)
Iyer, R., Yuezhang, L., et.al. (2018, septiembre 17) Transparency and Explanation in Deep Reinforcement Learning Neural Networks. Extraído de https://arxiv.org/abs/1809.06061
Liu, L.T., Dean, S., Rolf, E., Simchowitz, M. y Hardt, M. Delayed (2018, abril 8) Impact of Fair Machine Learning. Extraído de https://arxiv.org/abs/1803.04383
Mannino, A., Althaus, D., Erhardt, J., Gloor, L., Hutter, A. and Metzinger, T. (2015, diciembre 12). Artificial Intelligence: Opportunities and Risks. Extraído de (p.3https://pdfs.semanticscholar.org/382d/37d735826af173e9e9eebcaf7c1aff1fb9e6.pdf)>
MIT Media Lab. (n.d.) Artificial Intelligence Inclusion. Extraído de https://aiandinclusion.org/
Mitchell, M., Wu, s., et.al. (2019, enero 14). Model Cards for Model Reporting. Extraído de https://arxiv.org/abs/1810.03993
Selbst, A.D., Boyd, D., Friedler, S., Venkatasubramanian, S., y Vertesi J. (2018, diciembre 5). Fairness and Abstraction in Sociotechnical Systems. Extraído de https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3265913
Valera, I., Singla, A., Gomez Rodriguez, M. (2018, mayo 25). Enhancing the Accuracy and Fairness of Human Decision Making Extraído de https://arxiv.org/abs/1805.10318
Websites:
University of San Francisco Applied Data Ethics: https://www.usfca.edu/data-institute/initiatives/center-applied-data-ethics
AI Readiness: https://www.oxfordinsights.com/ai-readiness2019
Asilomar AI Principles: https://futureoflife.org/ai-principles/
Global Catastrophic Risks editado por Nick Bostrom y Milan Cirković: https://www.researchgate.net/publication/23784677_Global_Catastrophic_Risks_edited_by_Nick_Bostrom_Milan_Cirkovic
Osonde Ope Osoba: https://twimlai.com/twiml-talk-192-ai-ethics-strategic-decisioning-and-game-theory-with-osonde-osoba/
Podcasts:
Lex Friedman
NVIDIA The AI Podcast
https://blogs.nvidia.com/ai-podcast/
Descargar:
1er Draft Gran Estrategia Nacional
de Inteligencia Artificial para Latinoamérica