{"id":52,"date":"2023-10-01T16:34:34","date_gmt":"2023-10-01T20:34:34","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/?post_type=back-matter&#038;p=52"},"modified":"2023-10-01T23:45:37","modified_gmt":"2023-10-02T03:45:37","slug":"reading-list","status":"publish","type":"back-matter","link":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/back-matter\/reading-list\/","title":{"raw":"Reading list","rendered":"Reading list"},"content":{"raw":"<div class=\"textbox shaded\">\r\n\r\n<em>This is a list of core texts about algorithmic biases and other topics covered in this book. For a living bibliography, please join our <a href=\"https:\/\/www.zotero.org\/groups\/5075270\">Zotero library.<\/a>\u00a0<\/em>\r\n\r\n<\/div>\r\n<ul>\r\n \t<li>Andrejevic, M. (2020). Automated media. Routledge.<\/li>\r\n \t<li>Aradau, C. (2022). Algorithmic reason: The new government of self and other. University Press.<\/li>\r\n \t<li>Aral, S. (2020). The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health--And How We Must Adapt. Crown\/Archetype.<\/li>\r\n \t<li>Browne, S. (2015). Dark matters: On the surveillance of blackness. Duke University Press.<\/li>\r\n \t<li>Burgess, J., Albury, K., McCosker, A., &amp; Wilken, R. (2022). Everyday data cultures. Polity.<\/li>\r\n \t<li>Cheney-Lippold, J. (2017). We are data: Algorithms and the making of our digital selves. New York University Press.<\/li>\r\n \t<li>Crawford, K. (2021). Atlas of AI. Yale University Press.<a href=\"https:\/\/doi.org\/10.12987\/9780300252392\">\u00a0<\/a><\/li>\r\n \t<li>Dencik, L., Hintz, A., Redden, J., &amp; Trer\u00e9, E. (2022). Data Justice. SAGE.<\/li>\r\n \t<li>Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.<\/li>\r\n \t<li>D\u2019Ignazio, C., &amp; Klein, L. F. (2020). Data feminism. The MIT Press.<\/li>\r\n \t<li>Dubber, M. D., Pasquale, F., &amp; Das, S. (2020). The Oxford handbook of ethics of AI. Oxford University Press.<\/li>\r\n \t<li>Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor, St. Martin\u2019s Press.<\/li>\r\n \t<li>Goodman, M. (2015). Future crimes: Everything is connected, everyone is vulnerable, and what we can do about it. Doubleday.<\/li>\r\n \t<li>Harari, Y. N. (2016). Homo Deus: A Brief History of Tomorrow. McClelland &amp; Stewart.<\/li>\r\n \t<li>Hayles, N. K. (2012). How we think: Digital media and contemporary technogenesis. University of Chicago Press.<\/li>\r\n \t<li>Hefner, P. (2022). Human becoming in an age of science, technology, and faith. Lexington Books\/Fortress Academic.<\/li>\r\n \t<li>Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. Oxford University Press.<\/li>\r\n \t<li>Kitchin, R. (2014). The Data revolution: Big data, open data, data infrastructures and their consequences. SAGE.<\/li>\r\n \t<li>Kurzweil, R. (2000). The age of spiritual machines: When computers exceed human intelligence. Penguin.<\/li>\r\n \t<li>Langlois, G., Redden, J., &amp; Elmer, G. (2015). Compromised data: From social media to big data. Bloomsbury Academic, an imprint of Bloomsbury Publishing Inc.<\/li>\r\n \t<li>Livermore, D. A. (2022). Digital, diverse &amp; divided: How to talk to racists, compete with robots, and overcome polarization. Berrett-Koehler Publishers.<\/li>\r\n \t<li>Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.<a href=\"http:\/\/ebookcentral.proquest.com\/lib\/cornell\/detail.action?docID=4834260\">\u00a0<\/a><\/li>\r\n \t<li>O\u2019Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.<\/li>\r\n \t<li>O\u2019Neil, C. (2022). The Shame machine: Who profits in the new age of humiliation. Crown.<\/li>\r\n \t<li>Panda, S. K. (2022). The new advanced society: Artificial intelligence and industrial Internet of Things paradigm. Wiley.<a href=\"https:\/\/doi.org\/10.1002\/9781119884392\">\u00a0<\/a><\/li>\r\n \t<li>Pariser, E. (2011). The Filter bubble: How the new personalized web Is changing what we read and how we think. Penguin.<\/li>\r\n \t<li>Perez, C. C. (2019). Invisible momen: Data bias in a world designed for men. Abrams.<\/li>\r\n \t<li>Pink, S. (2022). Everyday automation: Experiencing and anticipating emerging technologies. Routledge.<a href=\"https:\/\/doi.org\/10.4324\/9781003170884\">\u00a0<\/a><\/li>\r\n \t<li>Ramsay, S. (2011). Reading machines: Toward an algorithmic criticism. University of Illinois Press.<\/li>\r\n \t<li>Scherz, P. (2022). Tomorrow\u2019s troubles: Risk, anxiety, and prudence in an age of algorithmic governance. Georgetown University Press.<a href=\"https:\/\/doi.org\/10.2307\/j.ctv2k88t7g\">\u00a0<\/a><\/li>\r\n \t<li>Schneider, S. (2019). Artificial you: AI and the future of your mind. University Press.<\/li>\r\n \t<li>Smith, M. (2015). Targeted: How technology is revolutionizing advertising and the way companies reach consumers. American Management Association.<a href=\"https:\/\/cornell-library.skillport.com\/skillportfe\/main.action?path=summary\/BOOKS\/73818\">\u00a0<\/a><\/li>\r\n \t<li>Shepard, M. (2022). There are no facts: Attentive algorithms, extractive data practices, and the quantification of everyday life. MIT Press.<\/li>\r\n \t<li>Strengers, Y. (2020). The smart wife: Why Siri, Alexa, and other smart home devices need a feminist reboot. The MIT Press.<\/li>\r\n \t<li>Zerilli, J. (2021). A citizen\u2019s guide to artificial intelligence. MIT Press.<\/li>\r\n \t<li>Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Public Affairs.<\/li>\r\n<\/ul>","rendered":"<div class=\"textbox shaded\">\n<p><em>This is a list of core texts about algorithmic biases and other topics covered in this book. For a living bibliography, please join our <a href=\"https:\/\/www.zotero.org\/groups\/5075270\">Zotero library.<\/a>\u00a0<\/em><\/p>\n<\/div>\n<ul>\n<li>Andrejevic, M. (2020). Automated media. Routledge.<\/li>\n<li>Aradau, C. (2022). Algorithmic reason: The new government of self and other. University Press.<\/li>\n<li>Aral, S. (2020). The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health&#8211;And How We Must Adapt. Crown\/Archetype.<\/li>\n<li>Browne, S. (2015). Dark matters: On the surveillance of blackness. Duke University Press.<\/li>\n<li>Burgess, J., Albury, K., McCosker, A., &amp; Wilken, R. (2022). Everyday data cultures. Polity.<\/li>\n<li>Cheney-Lippold, J. (2017). We are data: Algorithms and the making of our digital selves. New York University Press.<\/li>\n<li>Crawford, K. (2021). Atlas of AI. Yale University Press.<a href=\"https:\/\/doi.org\/10.12987\/9780300252392\">\u00a0<\/a><\/li>\n<li>Dencik, L., Hintz, A., Redden, J., &amp; Trer\u00e9, E. (2022). Data Justice. SAGE.<\/li>\n<li>Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.<\/li>\n<li>D\u2019Ignazio, C., &amp; Klein, L. F. (2020). Data feminism. The MIT Press.<\/li>\n<li>Dubber, M. D., Pasquale, F., &amp; Das, S. (2020). The Oxford handbook of ethics of AI. Oxford University Press.<\/li>\n<li>Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor, St. Martin\u2019s Press.<\/li>\n<li>Goodman, M. (2015). Future crimes: Everything is connected, everyone is vulnerable, and what we can do about it. Doubleday.<\/li>\n<li>Harari, Y. N. (2016). Homo Deus: A Brief History of Tomorrow. McClelland &amp; Stewart.<\/li>\n<li>Hayles, N. K. (2012). How we think: Digital media and contemporary technogenesis. University of Chicago Press.<\/li>\n<li>Hefner, P. (2022). Human becoming in an age of science, technology, and faith. Lexington Books\/Fortress Academic.<\/li>\n<li>Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. Oxford University Press.<\/li>\n<li>Kitchin, R. (2014). The Data revolution: Big data, open data, data infrastructures and their consequences. SAGE.<\/li>\n<li>Kurzweil, R. (2000). The age of spiritual machines: When computers exceed human intelligence. Penguin.<\/li>\n<li>Langlois, G., Redden, J., &amp; Elmer, G. (2015). Compromised data: From social media to big data. Bloomsbury Academic, an imprint of Bloomsbury Publishing Inc.<\/li>\n<li>Livermore, D. A. (2022). Digital, diverse &amp; divided: How to talk to racists, compete with robots, and overcome polarization. Berrett-Koehler Publishers.<\/li>\n<li>Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.<a href=\"http:\/\/ebookcentral.proquest.com\/lib\/cornell\/detail.action?docID=4834260\">\u00a0<\/a><\/li>\n<li>O\u2019Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.<\/li>\n<li>O\u2019Neil, C. (2022). The Shame machine: Who profits in the new age of humiliation. Crown.<\/li>\n<li>Panda, S. K. (2022). The new advanced society: Artificial intelligence and industrial Internet of Things paradigm. Wiley.<a href=\"https:\/\/doi.org\/10.1002\/9781119884392\">\u00a0<\/a><\/li>\n<li>Pariser, E. (2011). The Filter bubble: How the new personalized web Is changing what we read and how we think. Penguin.<\/li>\n<li>Perez, C. C. (2019). Invisible momen: Data bias in a world designed for men. Abrams.<\/li>\n<li>Pink, S. (2022). Everyday automation: Experiencing and anticipating emerging technologies. Routledge.<a href=\"https:\/\/doi.org\/10.4324\/9781003170884\">\u00a0<\/a><\/li>\n<li>Ramsay, S. (2011). Reading machines: Toward an algorithmic criticism. University of Illinois Press.<\/li>\n<li>Scherz, P. (2022). Tomorrow\u2019s troubles: Risk, anxiety, and prudence in an age of algorithmic governance. Georgetown University Press.<a href=\"https:\/\/doi.org\/10.2307\/j.ctv2k88t7g\">\u00a0<\/a><\/li>\n<li>Schneider, S. (2019). Artificial you: AI and the future of your mind. University Press.<\/li>\n<li>Smith, M. (2015). Targeted: How technology is revolutionizing advertising and the way companies reach consumers. American Management Association.<a href=\"https:\/\/cornell-library.skillport.com\/skillportfe\/main.action?path=summary\/BOOKS\/73818\">\u00a0<\/a><\/li>\n<li>Shepard, M. (2022). There are no facts: Attentive algorithms, extractive data practices, and the quantification of everyday life. MIT Press.<\/li>\n<li>Strengers, Y. (2020). The smart wife: Why Siri, Alexa, and other smart home devices need a feminist reboot. The MIT Press.<\/li>\n<li>Zerilli, J. (2021). A citizen\u2019s guide to artificial intelligence. MIT Press.<\/li>\n<li>Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Public Affairs.<\/li>\n<\/ul>\n","protected":false},"author":1763,"menu_order":2,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"back-matter-type":[],"contributor":[],"license":[],"class_list":["post-52","back-matter","type-back-matter","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter\/52","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter"}],"about":[{"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/wp\/v2\/types\/back-matter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/wp\/v2\/users\/1763"}],"version-history":[{"count":2,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter\/52\/revisions"}],"predecessor-version":[{"id":54,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter\/52\/revisions\/54"}],"metadata":[{"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter\/52\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/wp\/v2\/media?parent=52"}],"wp:term":[{"taxonomy":"back-matter-type","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/pressbooks\/v2\/back-matter-type?post=52"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/wp\/v2\/contributor?post=52"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/algorithmicawarenesstoolkit\/wp-json\/wp\/v2\/license?post=52"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}