Mudanças entre as edições de "2017"
| (22 revisões intermediárias por 2 usuários não estão sendo mostradas) | |||
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| + | Listagem dos principais referenciais e papers sobre Governança Algorítmica e o Setor Público para o ano 2017. | ||
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| + | == Principais referenciais e papers acadêmicos == | ||
ANDREWS, Leighton and others. [[Algorithmic Regulation. London School of Economics and Political Science]]. DISCUSSION PAPER No: 85. September 2017. https://www.kcl.ac.uk/law/research/centres/telos/assets/DP85-Algorithmic-Regulation-Sep-2017.pdf | ANDREWS, Leighton and others. [[Algorithmic Regulation. London School of Economics and Political Science]]. DISCUSSION PAPER No: 85. September 2017. https://www.kcl.ac.uk/law/research/centres/telos/assets/DP85-Algorithmic-Regulation-Sep-2017.pdf | ||
| Linha 5: | Linha 8: | ||
BEER, David. [[The social power of algorithms]]. Information, Communication & Society, 20:1, 1-13, 2017. DOI: 10.1080/1369118X.2016.1216147 | BEER, David. [[The social power of algorithms]]. Information, Communication & Society, 20:1, 1-13, 2017. DOI: 10.1080/1369118X.2016.1216147 | ||
| − | + | http://eprints.whiterose.ac.uk/104026/1/Algorithms_editorial_final.pdf | |
BUCHER, Taina. [[The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms]]. Information, Communication & Society, v. 20, n. 1, p. 30-44, 2017. | BUCHER, Taina. [[The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms]]. Information, Communication & Society, v. 20, n. 1, p. 30-44, 2017. | ||
| − | DANAHER, John | + | CHAI, Sen; SHIH, Willy. [[Why big data isn't enough]]. MIT Sloan Management Review, v. 58, n. 2, p. 57, 2017. |
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| + | DANAHER, John; Hogan, M.J.; Noone, C.; Kennedy, R.; Behan, A.; De Paor, A.; Felzmann, H.; Haklay, M.; Khoo, S.M.; Morison, J.; Murphy, M.H.; O'Brolchain, N.; Schafer, B.; Shankar, K. (2017) [[Algorithmic governance: Developing a research agenda through the power of collective intelligence]]. Big Data & Society, 4(2), doi: 10.1177/2053951717726554 | ||
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| + | DANAHER, John & Hogan, Michael & Noone, Chris & Kennedy, Rónán & Behan, Anthony & De Paor, Aisling & Felzmann, Heike & Haklay, Muki & Khoo, Su-ming & Morison, John & Murphy, Maria Helen & O'Brolchain, Niall & Schafer, Burkhard & Shankar, Kalpana. (2017). [[Algorithmic governance: Developing a research agenda through the power of collective intelligence]]. Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/2053951717726554 | ||
| − | + | D. TRIELLI, J. STARK and N. DIAKOPOULOS. [[Algorithm Tips: A Resource for Algorithmic Accountability in Government]]. Computation + Journalism Symposium. October, 2017. | |
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| − | + | DIGNUM, Virginia. Responsible artificial intelligence: designing AI for human values. 2017. Link: http://dspace.library.daffodilvarsity.edu.bd:8080/bitstream/handle/20.500.11948/2177/itu2017-1.pdf?sequence=1&isAllowed=y | |
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| + | DUPONT, Quinn. [[Experiments in algorithmic governance: A history and ethnography of “The DAO,” a failed decentralized autonomous organization]]. In: Bitcoin and Beyond (Open Access). Routledge, 2017. p. 157-177. | ||
HUESO, Lorenzo Cotino. [[Big data e inteligencia artificial. Una aproximación a su tratamiento jurídico desde los derechos fundamentales]]. Dilemata, n. 24, p. 131-150, 2017. | HUESO, Lorenzo Cotino. [[Big data e inteligencia artificial. Una aproximación a su tratamiento jurídico desde los derechos fundamentales]]. Dilemata, n. 24, p. 131-150, 2017. | ||
| Linha 26: | Linha 34: | ||
KUBLER, Kyle. [[State of urgency: Surveillance, power, and algorithms in France’s state of emergency]]. Big Data & Society, v. 4, n. 2, p. 2053951717736338, 2017. | KUBLER, Kyle. [[State of urgency: Surveillance, power, and algorithms in France’s state of emergency]]. Big Data & Society, v. 4, n. 2, p. 2053951717736338, 2017. | ||
| − | LIPPOLD, John Cheney. [[We Are Data: Algorithms and the Making of Our Digital Selves]], New York, NY: New York University Press, 2017, 317. | + | LIPPOLD, John Cheney. [[We Are Data: Algorithms and the Making of Our Digital Selves]], New York, NY: New York University Press, 2017, 317 pp. |
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| + | PASQUALE, Frank. [[A Esfera pública automatizada]]. LÍBERO. ISSN impresso: 1517-3283/ISSN online: 2525-3166, v. 20, n. 39, p. 16-35, 2017. https://casperlibero.edu.br/wp-content/uploads/2017/10/A-Esfera-p%C3%BAblica-automatizada.pdf | ||
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| + | PETER, F. (2017) [[Political legitimacy]]. In: Zalta EM (ed.) Stanford Encyclopedia of Philosophy. Available at: https://plato.stanford.edu/entries/legitimacy/. Accessed 15 June 2017. | ||
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| + | PRICE, W. Nicholson. [[Regulating Black-Box Medicine]] (March 21, 2017). 116 Mich. L. Rev. 421 (2017). Available at SSRN: https://ssrn.com/abstract=2938391 | ||
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| + | RIEDER, B. [[Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality]]. Information, Communication & Society, 2 jan. 2017. v. 20, n. 1, p. 100–117. | ||
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| + | SEAVER, Nick. [[Algorithms as culture: Some tactics for the ethnography of algorithmic systems]]. Big Data & Society, v. 4, n. 2, p. 2053951717738104, 2017. | ||
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| + | TRERÉ, Emiliano. [[Distorsiones tecnopolíticas: represión y resistencia algorítmica del activismo ciudadano en la era del big data]]. Trípodos, n. 39, p. 35-51, 2017 . | ||
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| + | TUTT, Andrew. [[An FDA for Algorithms]] (March 15, 2016). Administrative Law Review 83 (2017). Available at SSRN: https://ssrn.com/abstract=2747994 or http://dx.doi.org/10.2139/ssrn.2747994 | ||
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| + | YEUNG, Karen. [[‘Hypernudge’: Big Data as a mode of regulation by design]]. Information, Communication & Society, v. 20, n. 1, p. 118-136, 2017. | ||
YEUNG, Karen, [[Algorithmic Regulation: A Critical Interrogation]] (May 23, 2017). TLI Think! Paper 62/'''2017'''; Regulation & Governance, Forthcoming; King's College London Law School Research Paper No. 2017-27. Available at SSRN: https://ssrn.com/abstract=2972505 | YEUNG, Karen, [[Algorithmic Regulation: A Critical Interrogation]] (May 23, 2017). TLI Think! Paper 62/'''2017'''; Regulation & Governance, Forthcoming; King's College London Law School Research Paper No. 2017-27. Available at SSRN: https://ssrn.com/abstract=2972505 | ||
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VOLTAR - [[PAPERS EM REVISTAS ACADÊMICAS]] | VOLTAR - [[PAPERS EM REVISTAS ACADÊMICAS]] | ||
Edição atual tal como às 18h20min de 5 de janeiro de 2020
Listagem dos principais referenciais e papers sobre Governança Algorítmica e o Setor Público para o ano 2017.
Principais referenciais e papers acadêmicos
ANDREWS, Leighton and others. Algorithmic Regulation. London School of Economics and Political Science. DISCUSSION PAPER No: 85. September 2017. https://www.kcl.ac.uk/law/research/centres/telos/assets/DP85-Algorithmic-Regulation-Sep-2017.pdf
BALKIN, Jack M., Free Speech in the Algorithmic Society: Big Data, Private Governance, and New School Speech Regulation (September 9, 2017). UC Davis Law Review, (2018 Forthcoming); Yale Law School, Public Law Research Paper No. 615. Available at SSRN: https://ssrn.com/abstract=3038939 or http://dx.doi.org/10.2139/ssrn.3038939
BEER, David. The social power of algorithms. Information, Communication & Society, 20:1, 1-13, 2017. DOI: 10.1080/1369118X.2016.1216147 http://eprints.whiterose.ac.uk/104026/1/Algorithms_editorial_final.pdf
BUCHER, Taina. The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms. Information, Communication & Society, v. 20, n. 1, p. 30-44, 2017.
CHAI, Sen; SHIH, Willy. Why big data isn't enough. MIT Sloan Management Review, v. 58, n. 2, p. 57, 2017.
DANAHER, John; Hogan, M.J.; Noone, C.; Kennedy, R.; Behan, A.; De Paor, A.; Felzmann, H.; Haklay, M.; Khoo, S.M.; Morison, J.; Murphy, M.H.; O'Brolchain, N.; Schafer, B.; Shankar, K. (2017) Algorithmic governance: Developing a research agenda through the power of collective intelligence. Big Data & Society, 4(2), doi: 10.1177/2053951717726554
DANAHER, John & Hogan, Michael & Noone, Chris & Kennedy, Rónán & Behan, Anthony & De Paor, Aisling & Felzmann, Heike & Haklay, Muki & Khoo, Su-ming & Morison, John & Murphy, Maria Helen & O'Brolchain, Niall & Schafer, Burkhard & Shankar, Kalpana. (2017). Algorithmic governance: Developing a research agenda through the power of collective intelligence. Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/2053951717726554
D. TRIELLI, J. STARK and N. DIAKOPOULOS. Algorithm Tips: A Resource for Algorithmic Accountability in Government. Computation + Journalism Symposium. October, 2017.
DIGNUM, Virginia. Responsible artificial intelligence: designing AI for human values. 2017. Link: http://dspace.library.daffodilvarsity.edu.bd:8080/bitstream/handle/20.500.11948/2177/itu2017-1.pdf?sequence=1&isAllowed=y
DUPONT, Quinn. Experiments in algorithmic governance: A history and ethnography of “The DAO,” a failed decentralized autonomous organization. In: Bitcoin and Beyond (Open Access). Routledge, 2017. p. 157-177.
HUESO, Lorenzo Cotino. Big data e inteligencia artificial. Una aproximación a su tratamiento jurídico desde los derechos fundamentales. Dilemata, n. 24, p. 131-150, 2017.
JUST, Natascha; LATZER, Michael. Governance by algorithms: reality construction by algorithmic selection on the Internet. Media, Culture & Society, v. 39, n. 2, p. 238-258, 2017.
KITCHIN, Rob. Thinking critically about and researching algorithms. Information, Communication & Society, v. 20, n. 1, p. 14-29, 2017.
KROLL, Joshua; HUEY, Joanna; BAROCAS, Solon; FELTEN, Edward; REIDENBERG, Joel; ROBINSON, David; YU, Harlan. Accountable Algorithms. University of Pennsylvania Law Review, Vol. 165, 2017 Forthcoming; Fordham Law Legal Studies Research Paper No. 2765268. Available at SSRN: https://ssrn.com/abstract=2765268
KUBLER, Kyle. State of urgency: Surveillance, power, and algorithms in France’s state of emergency. Big Data & Society, v. 4, n. 2, p. 2053951717736338, 2017.
LIPPOLD, John Cheney. We Are Data: Algorithms and the Making of Our Digital Selves, New York, NY: New York University Press, 2017, 317 pp.
PASQUALE, Frank. A Esfera pública automatizada. LÍBERO. ISSN impresso: 1517-3283/ISSN online: 2525-3166, v. 20, n. 39, p. 16-35, 2017. https://casperlibero.edu.br/wp-content/uploads/2017/10/A-Esfera-p%C3%BAblica-automatizada.pdf
PETER, F. (2017) Political legitimacy. In: Zalta EM (ed.) Stanford Encyclopedia of Philosophy. Available at: https://plato.stanford.edu/entries/legitimacy/. Accessed 15 June 2017.
PRICE, W. Nicholson. Regulating Black-Box Medicine (March 21, 2017). 116 Mich. L. Rev. 421 (2017). Available at SSRN: https://ssrn.com/abstract=2938391
RIEDER, B. Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality. Information, Communication & Society, 2 jan. 2017. v. 20, n. 1, p. 100–117.
SEAVER, Nick. Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society, v. 4, n. 2, p. 2053951717738104, 2017.
TRERÉ, Emiliano. Distorsiones tecnopolíticas: represión y resistencia algorítmica del activismo ciudadano en la era del big data. Trípodos, n. 39, p. 35-51, 2017 .
TUTT, Andrew. An FDA for Algorithms (March 15, 2016). Administrative Law Review 83 (2017). Available at SSRN: https://ssrn.com/abstract=2747994 or http://dx.doi.org/10.2139/ssrn.2747994
YEUNG, Karen. ‘Hypernudge’: Big Data as a mode of regulation by design. Information, Communication & Society, v. 20, n. 1, p. 118-136, 2017.
YEUNG, Karen, Algorithmic Regulation: A Critical Interrogation (May 23, 2017). TLI Think! Paper 62/2017; Regulation & Governance, Forthcoming; King's College London Law School Research Paper No. 2017-27. Available at SSRN: https://ssrn.com/abstract=2972505
VOLTAR - PAPERS EM REVISTAS ACADÊMICAS
