Terms of inclusion: Data, discourse, violence

Inclusion has emerged as an early cornerstone value for the emerging domain of “data ethics.” On the surface, appeals to inclusion appear to address the threat that biased data technologies making decisions or misrepresenting people in ways that reproduce longer standing patterns of oppression and violence. Far from a panacea for the threats of pervasive data collection and surveillance, however, these emerging discourses of inclusion merit critical consideration. Here, I use the lens of discursive violence to better theorize the relationship between inclusion and the violent potentials of data science and technology. In doing so, I aim to articulate the problematic and often perverse power relationships implicit in ideals of “inclusion” broadly, which—if not accompanied by dramatic upheavals in existing hierarchical power structures—too often work to diffuse the radical potential of difference and normalize otherwise oppressive structural conditions.

[1]  Elizabeth A. Povinelli Radical Worlds: The Anthropology of Incommensurability and Inconceivability , 2001 .

[2]  Ravi K. Sheth,et al.  Dark Matters: , 2021, Dark Matters.

[3]  Luke Stark Facial recognition is the plutonium of AI , 2019, XRDS.

[4]  Sangwoon Yoo Chasing Innovation: Making Entrepreneurial Citizens in Modern India , 2020, East Asian Science, Technology and Society: An International Journal.

[5]  T. Beauchamp Going Stealth: Transgender Politics and U.S. Surveillance Practices , 2019 .

[6]  C. Enloe Maneuvers: The International Politics of Militarizing Women's Lives , 2000 .

[7]  D. Spade,et al.  Normal Life: Administrative Violence, Critical Trans Politics, and the Limits of Law , 2011 .

[8]  Amardo Rodriguez On the End of Diversity , 2008 .

[9]  Margo J. Anderson The Dark Side of Numbers: The Role of Population Data Systems in Human , 2001 .

[10]  Gail M. Gerhart Leave None to Tell the Story: Genocide in Rwanda , 1999 .

[11]  Tonia Sutherland Making a Killing: On Race, Ritual, and (Re)Membering in Digital Culture , 2017 .

[12]  Timnit Gebru,et al.  Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification , 2018, FAT.

[13]  Mike Ananny,et al.  Toward an Ethics of Algorithms , 2016 .

[14]  Rena Bivens,et al.  The gender binary will not be deprogrammed: Ten years of coding gender on Facebook , 2017, New Media Soc..

[15]  Sonja M. Kim Curative Violence: Rehabilitating Disability, Gender, and Sexuality in Modern Korea by Eunjung Kim (review) , 2017 .

[16]  How to Respond to Data Science: Early Data Criticism by Lionel Trilling , 2016 .

[17]  D. Fitch,et al.  Review of "Algorithms of oppression: how search engines reinforce racism," by Noble, S. U. (2018). New York, New York: NYU Press. , 2018, CDQR.

[18]  S. Noble Algorithms of Oppression: How Search Engines Reinforce Racism , 2018 .

[19]  Seeta Peña Gangadharan,et al.  The downside of digital inclusion: Expectations and experiences of privacy and surveillance among marginal Internet users , 2017, New Media Soc..

[20]  Kimberly Kruge If, Then , 2017 .

[21]  J. Söderberg Media Technologies - Essays on Communication, Materiality, and Society , 2014 .

[22]  J. Galtung Cultural Violence , 1990 .

[23]  Sareeta Amrute,et al.  Of Techno-Ethics and Techno-Affects , 2019, Feminist Review.

[24]  A. Sharifi On Being Included , 2019, Staging Gender - Reflexionen aus Theorie und Praxis der performativen Künste.

[25]  M. Coté,et al.  'Society Must Be Defended': Lectures at the College de France , 2004 .

[26]  Edwin Black,et al.  Book Reviews: IBM and the Holocaust: The Strategic Alliance between Nazi Germany and America's Most Powerful Corporation , 2002 .

[27]  Edwin Black,et al.  The Nazi Census: Identification and Control in the Third Reich , 2004 .

[28]  André Brock,et al.  Critical technocultural discourse analysis , 2018, New Media Soc..

[29]  Lucy Suchman,et al.  Algorithmic warfare and the reinvention of accuracy , 2020, Critical Studies on Security.

[30]  Sultan Doughan,et al.  Necropolitics , 2020, Political Theology.

[31]  Sandra Braman,et al.  Change of state: Information, policy and power , 2007, First Monday.

[32]  K. Tallbear,et al.  Native American DNA: Tribal Belonging and the False Promise of Genetic Science , 2013 .

[33]  Alison Desforges,et al.  Leave None to Tell the Story Genocide in Rwanda , 1999 .

[34]  What are our values , 1950 .

[35]  Amelia Acker,et al.  Software Update Unrest: The Recent Happenings Around Tinder and Tesla , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[36]  Minh-Hà T. Phạm Visualizing “The Misfit”: Virtual Fitting Rooms and the Politics of Technology , 2015 .

[37]  J. Dijck The Culture of Connectivity: A Critical History of Social Media , 2013 .

[38]  R. Dini Black Skin, White Masks , 2017 .

[39]  A. Hoffmann Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse , 2019, Information, Communication & Society.

[40]  Nick Seaver Algorithms as culture: Some tactics for the ethnography of algorithmic systems , 2017, Big Data Soc..

[41]  Rebekah Overdorf,et al.  Stirring The Pots: Protective Optimization Technologies , 2018 .

[42]  S. Brandon The normal life , 1991 .

[43]  Louise Amoore,et al.  Algorithmic War: Everyday Geographies of the War on Terror , 2009 .

[44]  U. Mejías,et al.  Datafication , 2019, Human Rights in the Age of Platforms.

[45]  R. Gonzales Dark matters: on the surveillance of blackness , 2016 .

[46]  Luke Stark,et al.  Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning , 2019, HICSS.

[47]  Pablo J. Boczkowski,et al.  The Relevance of Algorithms , 2013 .

[48]  David Macey,et al.  Society Must Be Defended: Lectures at the Collège de France, 1975-76 , 2020 .

[49]  P. Touzet [Frantz Fanon]. , 2013, Soins. Psychiatrie.

[50]  Ronald E. Day,et al.  Kling and the "critical": Social informatics and critical informatics , 2007, J. Assoc. Inf. Sci. Technol..

[51]  Seeta Peña Gangadharan,et al.  Decentering technology in discourse on discrimination* , 2019, Information, Communication & Society.

[52]  Sara Safransky Geographies of Algorithmic Violence: Redlining the Smart City , 2020 .

[53]  S. Merz Race after technology. Abolitionist tools for the new Jim Code , 2020, Ethnic and Racial Studies.

[54]  Louise Amoore,et al.  Securing with algorithms: Knowledge, decision, sovereignty , 2017 .

[55]  Louise Amoore and Marieke de Goede What counts as violence , 2013 .

[56]  Oliver L. Haimson,et al.  Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers , 2016 .

[57]  I. Young Justice and the Politics of Difference , 1990, The New Social Theory Reader.

[58]  Celia Lury,et al.  Cultural Rights: Technology, Legality and Personality.@@@The Panoptic Sort: A Political Economy of Personal Information. , 1993 .

[59]  Sandy Stone The Empire Strikes Back: A Posttranssexual Manifesto , 1992 .

[60]  P. Arora Decolonizing Privacy Studies , 2018, Television & New Media.

[61]  M. Andrejevic Automating Surveillance , 2019, Surveillance & Society.