High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response von Moss, Emanuel, Metcalf, Jacob

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Resistance and refusal to algorithmic harms: Varieties of 'knowledge projects' von Ganesh, Maya Indira, Moss, Emanuel

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Ethnographic thinking von Moss, Emanuel

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AI behaviour: don't reinvent the wheel von Moss, Emanuel

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Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics von Metcalf, Jacob, Moss, Emanuel, boyd, danah

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Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research von Shilton, Katie, Moss, Emanuel, Gilbert, Sarah A., Bietz, Matthew J., Fiesler, Casey, Metcalf, Jacob, Vitak, Jessica, Zimmer, Michael

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AI’s social sciences deficit von Sloane, Mona, Moss, Emanuel

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A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability von Sloane, Mona, Moss, Emanuel, Chowdhury, Rumman

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Obligations to assess: Recent trends in AI accountability regulations von Oduro, Serena, Moss, Emanuel, Metcalf, Jacob

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Tackling AI Hyping von Sloane, Mona, Danks, David, Moss, Emanuel

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Excavation is Destruction Digitization: Advances in Archaeological Practice von Roosevelt, Christopher H., Cobb, Peter, Moss, Emanuel, Olson, Brandon R., Ünlüsoy, Sinan

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How Modes of Myth‐Making Affect the Particulars of DS/ML Adoption in Industry von MOSS, EMANUEL, SCHÜÜR, FRIEDERIKE

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Editorial von Luke, Christina, Moss, Emanuel

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Editorial von Luke, Christina, Moss, Emanuel

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Machine behaviour is old wine in new bottles von Moss, Emanuel, Chowdhury, Rumman, Rakova, Bogdana, Schmer-Galunder, Sonja, Binns, Reuben, Smart, Andrew

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The Objective Function: Science and Society in the Age of Machine Intelligence von Moss, Emanuel

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Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians von Adler, Daniel A., Tseng, Emily, Moon, Khatiya C., Young, John Q., Kane, John M., Moss, Emanuel, Mohr, David C., Choudhury, Tanzeem

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The Objective Function: Science and Society in the Age of Machine Intelligence von Moss, Emanuel

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A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability von Sloane, Mona, Moss, Emanuel, Chowdhury, Rumman

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Materiality and Risk in the Age of Pervasive AI Sensors von Stewart, Matthew, Moss, Emanuel, Warden, Pete, Plancher, Brian, Kennedy, Susan, Sloane, Mona, Reddi, Vijay Janapa

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