Automatisierte Ungleichheit

Literatur

Anderson, M., u. Anderson, S. L. (Hg.) (2011), Machine ethics, New York.10.1017/CBO9780511978036Suche in Google Scholar

Baker, R. S., u. Inventado, P. S. (2014), Educational Data Mining and Learning Analytics, in: Larusson, J. A., u. White, B. (Hg.), Learning Analytics: From Research to Practice, New York, 61–75.10.1007/978-1-4614-3305-7_4Suche in Google Scholar

Bogen, M. (2019), All the Ways Hiring Algorithms Can Introduce Bias, in: Harvard Business Review, URL: https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias(27.5.2020)Suche in Google Scholar

Bond, R. M., Fariss, C. J., Jones, J. J., Kramer, A. D. I., Marlow, C., Settle, J. E., u. Fowler, J. H. (2012), A 61-million-person experiment in social influence and political mobilization, in: Nature 489.7415, 295–298.10.1038/nature11421Suche in Google Scholar

Bostrom, N., u. Yudkowsky, E. (2014), The ethics of artificial intelligence, in: Frankish, K., u. Ramsey, W. M. (Hg.), The Cambridge Handbook of Artificial Intelligence, Cambridge, 316–334.10.1017/CBO9781139046855.020Suche in Google Scholar

Breljak, A., u. Mühlhoff, R. (2019), Was ist Sozialtheorie der Digitalen Gesellschaft? – Einleitung, in: Slaby, J. (Hg.), Affekt Macht Netz: Auf dem Weg zu einer Sozialtheorie der digitalen Gesellschaft, Bielefeld, 7–34.10.14361/9783839444399-001Suche in Google Scholar

Bröckling, U., Krasmann, S., u. Lemke, T. (Hg.) (2000), Gouvernementalität der Gegenwart: Studien zur Ökonomisierung des Sozialen, Frankfurt am Main.Suche in Google Scholar

Crawford, K., u. Schultz, J. (2014), Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms, in: Boston College Law Review 55.1, 93–128.Suche in Google Scholar

Daum, T. (2019), Die Künstliche Intelligenz des Kapitals, Hamburg.Suche in Google Scholar

Dignum, V. (2019), Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way, Cham, ZG.10.1007/978-3-030-30371-6Suche in Google Scholar

Duhigg, C. (2012), How Companies Learn Your Secrets, in: The New York Times, URL: https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html (27.5.2020).10.7312/star16075-025Suche in Google Scholar

Eslami, M., Rickman, A., Vaccaro, K., Aleyasen, A., Vuong, A., Karahalios, K., Hamilton, K., u. Sandvig, C. (2015), „I always assumed that I wasn’t really that close to [her]“ Reasoning about Invisible Algorithms in News Feeds, in: Proceedings of the 33rd annual ACM conference on human factors in computing systems, 153–162.10.1145/2702123.2702556Suche in Google Scholar

Etzioni, A., u. Etzioni, O. (2017), Incorporating Ethics into Artificial Intelligence, in: The Journal of Ethics 21.4, 403–418.10.1007/s10892-017-9252-2Suche in Google Scholar

Eubanks, V. (2017), Automating inequality: how high-tech tools profile, police, and punish the poor, New York.Suche in Google Scholar

Foucault, M. (2006a), Sicherheit, Territorium, Bevölkerung: Geschichte der Gouvernementalität I, Frankfurt am Main.Suche in Google Scholar

Foucault, M. (2006b), Die Geburt der Biopolitik: Geschichte der Gouvernementalität II, Frankfurt am Main.Suche in Google Scholar

Foucault, M. (2007), Was ist Aufklärung? [1984], in: Ästhetik der Existenz: Schriften zur Lebenskunst, Frankfurt am Main, 171–190.Suche in Google Scholar

Friedman, B., u. Nissenbaum, H. (1996), Bias in computer systems, in: ACM Transactions on Information Systems 14.3, 330–347.10.4324/9781315259697-23Suche in Google Scholar

Goggin, B. (2019), Inside Facebook’s suicide algorithm: Here’s how the company uses artificial intelligence to predict your mental state from your posts, in: Business Insider, URL: https://www.businessinsider.com/facebook-is-using-ai-to-try-to-predict-if-youresuicidal-2018-12 (27.5.2020).Suche in Google Scholar

González, R. J. (2017), Hacking the citizenry?: Personality profiling, „big data“ and the election of Donald Trump, in: Anthropology Today 33.3, 9–12.10.1111/1467-8322.12348Suche in Google Scholar

Grindrod, P. (2014), Mathematical underpinnings of analytics: theory and applications, Oxford.10.1093/acprof:oso/9780198725091.001.0001Suche in Google Scholar

Grunwald, A. (Hg.) (2013), Handbuch Technikethik, Stuttgart.10.1007/978-3-476-05333-6Suche in Google Scholar

Hagendorff, T. (2020), The Ethics of AI Ethics – An Evaluation of Guidelines, in: Minds and Machines 30, 99–120.10.1007/s11023-020-09517-8Suche in Google Scholar

Hao, K. (2019), AI is sending people to jail – and getting it wrong, in: MIT Technology Review, URL: https://www.technologyreview.com/2019/01/21/137783/algorithms-criminal-justice-ai/(27.5.2020)Suche in Google Scholar

Hildebrandt, M. (2011), Who Needs Stories if You Can Get the Data? ISPs in the Era of Big Number Crunching, in: Philosophy & Technology 24.4, 371–390.10.1007/s13347-011-0041-8Suche in Google Scholar

Horkheimer, M. (1992), Traditionelle und kritische Theorie [1937], in: Traditionelle und kritische Theorie: fünf Aufsätze, Frankfurt am Main, 205–259.Suche in Google Scholar

Hurley, M., u. Adebayo, J. (2017), Credit scoring in the era of big data, in: Yale Journal of Law and Technology 18.1, 5.Suche in Google Scholar

Jobin, A., Ienca, M., u. Vayena, E. (2019), The global landscape of AI ethics guidelines, in: Nature Machine Intelligence 1.9, 389–399.10.1038/s42256-019-0088-2Suche in Google Scholar

Kaerlein, T. (2018), Smartphones als digitale Nahkörpertechnologien: Zur Kybernetisierung des Alltags, Bielefeld.10.1515/9783839442722Suche in Google Scholar

Kosinski, M., Stillwell, D., u. Graepel, T. (2013), Private traits and attributes are predictable from digital records of human behavior, in: Proceedings of the National Academy of Sciences 110.15, 5802–5805.10.1073/pnas.1218772110Suche in Google Scholar

Kramer, A. D. I., Guillory, J. E., u. Hancock, J. T. (2014), Experimental evidence of massive-scale emotional contagion through social networks, in: Proceedings of the National Academy of Sciences 111.24, 8788–8790.10.1073/pnas.1320040111Suche in Google Scholar

Lippert, J. (2014), ZestFinance issues small, high-rate loans, uses big data to weed out deadbeats, in: Washington Post, URL: https://www.washingtonpost.com/business/zestfinance-issues-small-high-rate-loans-uses-big-data-to-weed-outdeadbeats/2014/10/10/e34986b6-4d71-11e4-aa5e-7153e466a02d_story.html (27.5.2020)Suche in Google Scholar

Matzner, T. (2019), Autonomy Trolleys und andere Probleme: Konfigurationen künstlicher Intelligenz in ethischen Debatten über selbstfahrende Kraftfahrzeuge, in: Zeitschrift für Medienwissenschaft 21.2, 46–55.10.14361/zfmw-2019-210107Suche in Google Scholar

Matzner, T. (2016), Beyond data as representation: The performativity of Big Data in surveillance, in: Surveillance & Society 14.2, 197–210.10.24908/ss.v14i2.5831Suche in Google Scholar

Merchant, R. M., Asch, D. A., Crutchley, P., Ungar, L. H., Guntuku, S. C., Eichstaedt, J. C., Hill, S., Padrez, K., Smith, R. J., u. Schwartz, H. A. (2019), in: Evaluating the predictability of medical conditions from social media posts, in: PLOS ONE 14.6, e0215476.10.1371/journal.pone.0215476Suche in Google Scholar

Misselhorn, C. (2018), Grundfragen der Maschinenethik, 4. Aufl., Stuttgart.Suche in Google Scholar

Mittelstadt, B. (2017), From Individual to Group Privacy in Big Data Analytics, in: Philosophy & Technology 30.4, 475–494.10.1007/s13347-017-0253-7Suche in Google Scholar

Mittelstadt, B. (2019), Principles alone cannot guarantee ethical AI, in: Nature Machine Intelligence 1.11, 501–507.10.1038/s42256-019-0114-4Suche in Google Scholar

Mittelstadt, B., Allo, P., Taddeo, M., Wachter, S., u. Floridi, L. (2016), The Ethics of Algorithms: Mapping the Debate, in: Big Data and Society 3.2.10.1177/2053951716679679Suche in Google Scholar

Mühlhoff, R. (2018), Digitale Entmündigung und User Experience Design: Wie digitale Geräte uns nudgen, tracken und zur Unwissenheit erziehen, in: Leviathan – Journal of Social Sciences 46.4, 551–574.10.5771/0340-0425-2018-4-551Suche in Google Scholar

Mühlhoff, R. (2019a), Human-Aided Artificial Intelligence: Or, How to Run Large Computations in Human Brains? Towards a Media Sociology of Machine Learning, in: New Media & Society OnlineFirst Nov. 2019.10.1177/1461444819885334Suche in Google Scholar

Mühlhoff, R. (2019b), Big Data is Watching You. Digitale Entmündigung am Beispiel von Facebook und Google, in: Slaby, J. (Hg.), Affekt Macht Netz: Auf dem Weg zu einer Sozialtheorie der digitalen Gesellschaft, Bielefeld, 81–107.10.1515/9783839444399-004Suche in Google Scholar

Noble, S. U. (2018), Algorithms of oppression: how search engines reinforce racism, New York.10.2307/j.ctt1pwt9w5Suche in Google Scholar

O’Dwyer, R. (2018), Are You Creditworthy? The Algorithm Will Decide, in: Undark Magazine, URL: https://undark.org/2018/05/07/algorithmic-credit-scoring-machine-learning/(8.10.2020)Suche in Google Scholar

O’Neil, C. (2016), Weapons of math destruction: how big data increases inequality and threatens democracy, New York.Suche in Google Scholar

Owen, R., Bessant, J. R., u. Heintz, M. (Hg.) (2013), Responsible innovation, Chichester.10.1002/9781118551424Suche in Google Scholar

Persily, N. (2017), Can Democracy Survive the Internet?, in: Journal of Democracy 28.2, 63–76.10.1353/jod.2017.0025Suche in Google Scholar

Prainsack, B. (2020), The value of healthcare data: to nudge, or not?, in: Policy Studies 41.5, 547–562.10.1080/01442872.2020.1723517Suche in Google Scholar

Saslow, K., u. Lorenz, P. (2019), Artificial Intelligence Needs Human Rights, Berlin.Suche in Google Scholar

Staab, P. (2019), Digitaler Kapitalismus: Markt und Herrschaft in der Ökonomie der Unknappheit, Berlin.Suche in Google Scholar

Tufekci, Z. (2015), Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency, in: Colorado Technology Law Journal 13, 203.Suche in Google Scholar

Tufekci, Z. (2014), Engineering the public: Big data, surveillance and computational politics, in: First Monday 19.7, DOI: doi: http://dx.doi.org/10.5210/fm.v19i7.4901 (8.10.2020).10.5210/fm.v19i7.4901Suche in Google Scholar

Véliz, C. (2019), Three things digital ethics can learn from medical ethics, in: Nature Electronics 2.8, 316–318.10.1038/s41928-019-0294-2Suche in Google Scholar

Wachter, S. (2018), Normative challenges of identification in the Internet of Things: Privacy, profiling, discrimination, and the GDPR, in: Computer Law & Security Review 34.3, 436–449.10.1016/j.clsr.2018.02.002Suche in Google Scholar

Wagner, B. (2018), Ethics as an escape from regulation. From „ethics-washing“ to ethicsshopping?, in: Bayamlioğlu, E., Baraliuc, I., Janssens, L., et al. (Hg.), Being Profiled: Cogitas Ergo Sum. 10 Years of ‘Profiling the European Citizen‘, Amsterdam, 84–88, DOI: https://doi.org/10.2307/j.ctvhrd092.1810.2307/j.ctvhrd092.18Suche in Google Scholar

Weiser, M. (1991), The computer for the 21st century, in: ACM SIGMOBILE mobile computing and communications review 3, 3–11.10.1016/B978-0-08-051574-8.50097-2Suche in Google Scholar

Wong, P.-H., u. Simon, J. (2020), Thinking About ‚Ethics‘ in the Ethics of AI, in: Idees 48, URL: https://revistaidees.cat/en/thinking-about-ethics-in-the-ethics-of-ai/ (8.10.2020).Suche in Google Scholar

Zittrain, J. (2013), Engineering an election, in: Harvard Law Review Forum 127, 335.Suche in Google Scholar

Zwitter, A. (2014), Big Data ethics, in: Big Data & Society 1.2, 205395171455925.10.1177/2053951714559253Suche in Google Scholar