Искусственный интеллект

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Crawford, Kate. “Artificial Intelligence – With Very Real Biases.” Wall Street Journal, October 17, 2017. https://www.wsj.com/articles/artificial-intelligencewith-very-real-biases-1508252717.

Crawford, Kate. “Artificial Intelligence’s White Guy Problem.” New York Times, June 26, 2016. https://www.nytimes.com/2016/06/26/opinion/sunday/artificial-intelligences-white-guy-problem.html.

Dadich, Scott. “Barack Obama Talks AI, Robo Cars, and the Future of the World.” Wired, November 2016. https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/.

Daniel, Anna, and Terry Flew. “The Guardian Reportage of the UK MP Expenses Scandal: A Case Study of Computational Journalism.” In Communications Policy and Research Forum 2010, November 15‒16, 2010. https://www.researchgate.net/publication/279424256_The_Guardian_Reportage_of_the_UK_MP_Expenses_Scandal_A_Case_Study_of_Computational_Journalism.

DARPA Public Affairs. “Toward Machines That Improve with Experience,” March 16, 2017. https://www.darpa.mil/news-events/2017–03–16.

Data Privacy Lab. “Mission Statement,” n. d. https://dataprivacylab.org/about.html. Diakopoulos, Nicholas. “Accountability in Algorithmic Decision Making.” Communications of the ACM 59, no. 2 (January 25, 2016): 56‒62. doi:10.1145/2844110.

Diakopoulos, Nicholas. “Algorithmic Accountability: Journalistic Investigation of Computational Power Structures.” Digital Journalism 3, no. 3 (November 7, 2014) 398‒415. https://doi.org/10.1080/21670811.2014.976411.

Donn, Jeff. “Eric Trump Foundation Flouts Charity Standards.” AP News, December 23, 2016. https://apnews.com/760b4159000b4a1cb1901cb038021cea.

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Dougherty, Conor. “Google Photos Mistakenly Labels Black People ‘Gorillas.’” New York Times, July 1, 2015. https://bits.blogs.nytimes.com/2015/07/01/google-photos-mistakenly-labels-black-people-gorillas/.

Dreyfus, Hubert L. What Computers Still Can’t Do: A Critique of Artificial Reason. Cambridge, MA: MIT Press, 1992.

Duncan, Arne. “Robust Data Gives Us the Roadmap to Reform.” Paper presented at the Fourth Annual IES Research Conference, June 8, 2009. https://www.ed.gov/news/speeches/robust-data-gives-us-roadmap-reform.

Elish, Madeleine, and Tim Hwang. “Praise the Machine! Punish the Human! The Contradictory History of Accountability in Automated Aviation.” Comparative Studies in Intelligent Systems – Working Paper #1. Intelligence and Autonomy Initiative: Data & Society Research Institute, February 24, 2015. https://datasociety.net/pubs/ia/Elish-Hwang_AccountabilityAutomatedAviation.pdf.

Evtimov, Ivan, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, and Dawn Song. “Robust Physical-World Attacks on Deep Learning Models.” In arXiv Preprint 1707.08945, 2017.

Fairness and Transparency in Machine Learning. “Principles for Accountable Algorithms and a Social Impact Statement for Algorithms,” n. d. https://www.fatml.org/resources/principles-for-accountable-algorithms.

Feltman, Rachel. “Men (on the Internet) Don’t Believe Sexism Is a Problem in Science, Even When They См. Evidence,” January 8, 2015.

Fischhoff, Baruch, and John Kadvany. Risk: A Very Short Introduction. Oxford: Oxford University Press, 2011.