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ANDREWS, Leighton. [[Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’]]. Public Administration, 2018.
 
ANDREWS, Leighton. [[Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’]]. Public Administration, 2018.
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BAYAMLIOĞLU, Emre; LEENES, Ronald. [[The ‘rule of law’implications of data-driven decision-making: a techno-regulatory perspective]]. Law, Innovation and Technology, v. 10, n. 2, p. 295-313, 2018.
  
 
FARRELL, Henry; SCHNEIER, Bruce. [[Common-Knowledge Attacks on Democracy]]. Berkman Klein Center Research Publication, n. 2018-7, 2018.
 
FARRELL, Henry; SCHNEIER, Bruce. [[Common-Knowledge Attacks on Democracy]]. Berkman Klein Center Research Publication, n. 2018-7, 2018.

Edição das 13h35min de 6 de dezembro de 2018

ANDREWS, Leighton. Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’. Public Administration, 2018.

BAYAMLIOĞLU, Emre; LEENES, Ronald. The ‘rule of law’implications of data-driven decision-making: a techno-regulatory perspective. Law, Innovation and Technology, v. 10, n. 2, p. 295-313, 2018.

FARRELL, Henry; SCHNEIER, Bruce. Common-Knowledge Attacks on Democracy. Berkman Klein Center Research Publication, n. 2018-7, 2018.

FERRARI, Isabela; BECKER, Daniel; WOLKART, Erik Navarro. Arbitrium ex machina: panorama, riscos, regulação das decisões informadas por algoritmos. Revista dos Tribunais | vol. 995/2018 | p. 635 - 655 | Set / 2018

FROSIO, Giancarlo, Why Keep a Dog and Bark Yourself? From Intermediary Liability to Responsibility (May 28, 2017). 26(1) Oxford International Journal of Law and Information Technology 1-33 (2018). Available at SSRN: https://ssrn.com/abstract=2976023 or http://dx.doi.org/10.2139/ssrn.2976023

GILLESPIE, Tarleton. A política das 'plataformas'. Nova mídia e sociedade , v. 12, n. 3, p. 347-364 , 2010. 780 de 6/2018

HANNAH-MOFFAT, Kelly. (2018). Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates. Theoretical Criminology. 136248061876358. 10.1177/1362480618763582.

HAZELWOOD, Kim et al. Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. In: High Performance Computer Architecture (HPCA), 2018 IEEE International Symposium on. IEEE, 2018. p. 620-629.

LEWIS, Seth & KRISTIN, Sanders, AMY & CARMODY, Casey. (2018). Libel by Algorithm? Automated Journalism and the Threat of Legal Liability. Journalism & Mass Communication Quarterly. 107769901875598. 10.1177/1077699018755983.

MACCARTHY, Mark. The Politics of Machine-Learning Algorithms. May 3, 2018 Available: https://www.project-syndicate.org/commentary/algorithms-lead-to-chinese-style-communitarianism-by-mark-maccarthy-2018-05

MAUCH, E. Sidnam. Counting the costs and projecting the future of numbering technologies. New Media & Society, 2018. Available: https://journals.sagepub.com/doi/pdf/10.1177/1461444818794504

PAUDYAL, Pragya; WONG, BL William. Algorithmic opacity: making algorithmic processes transparent through abstraction hierarchy. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications, 2018. p. 192-196. Available: https://journals.sagepub.com/doi/pdf/10.1177/1541931218621046


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