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Algorithmic Injustices: Towards a Relational Ethics
13 references·5 citing·38 second hop
Algorithmic Injustices: Towards a Relational Ethics (2019)Algorithmic Injustices: Towards a Relatio…The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power (2019)The Age of Surveillance Capit…Review of “Race After Technology: Abolitionist Tools for the New Jim Code” (2019)Review of “Race After Technol…Predictive Inequity in Object Detection (2019)Predictive Inequity in Object…Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019)Algorithmic Bias? An Empirica…Linguistic Bodies: The Continuity between Life and Language (2018)Linguistic Bodies: The Contin…We Are Data: Algorithms and the Making of Our Digital Selves (2017)We Are Data: Algorithms and t…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Data Science as Machinic Neoplatonism (2017)Data Science as Machinic Neop…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: …Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…Morality in Design: Design Ethics and the Morality of Technological Artifacts (2007)Morality in Design: Design Et…Dialogism. Bakhtin and His World (1993)Dialogism. Bakhtin and His Wo…Unveiling algorithmic power: exploring the impact of automated systems on disabled people’s engagement with social services (2023)Unveiling algorithmic power: …Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers (2021)Mitigating Dataset Harms Requ…From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation (2021)From Learning to Relearning: …High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response (2020)High Tech, High Risk: Tech Et…Drone culture: perspectives on autonomy and anonymity (2020)Drone culture: perspectives o…Male-Female Wage Differentials in Urban Labor Markets (1973)Nobel Lecture: The Economic Way of Looking at Behavior (1993)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)The Role of Artificial Intelligence and Data Network Effects for Creating User Value (2020)Algorithmic bias: review, synthesis, and future research directions (2021)Algorithmic injustice: a relational ethics approach (2021)Experience and Education. (1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The Platform Society (2018)Algorithms at Work: The New Contested Terrain of Control (2019)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Dissecting racial bias in an algorithm used to manage the health of populations (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Equality of Opportunity in Supervised Learning (2016)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning (2019)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Voicing the self: From information processing to dialogical interchange. (1996)Simultaneity and Bivalency as Strategies in Bilingualism (1998)The Talk and Back Talk of Collective Action: A Dialogic Analysis of Repertoires of Discourse among Nineteenth‐Century English Cotton Spinners (1999)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)Algorithm-assisted decision-making in the public sector: framing the issues using administrative law rules governing discretionary power (2018)Learning Like a State: Statecraft in the Digital Age (2020)Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory assistants (2021)Loving and knowing: reflections for an engaged epistemology (2019)Robot Rights? (2020)The Impossibility of Automating Ambiguity (2021)COVID-19 and digital disruption in UK universities: afflictions and affordances of emergency online migration (2020)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Digital platforms’ boundaries: The interplay of firm scope, platform sides, and digital interfaces (2020)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Taxonomy of Risks posed by Language Models (2022)
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References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2019The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power2,638 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2019Review of “Race After Technology: Abolitionist Tools for the New Jim Code”1,474 cited
  • 1993Dialogism. Bakhtin and His World1,180 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads854 cited
  • 2018Linguistic Bodies: The Continuity between Life and Language246 cited
  • 2019Predictive Inequity in Object Detection194 cited
  • 2017We Are Data: Algorithms and the Making of Our Digital Selves166 cited
  • 2007Morality in Design: Design Ethics and the Morality of Technological Artifacts144 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them144 cited
  • 2017Data Science as Machinic Neoplatonism91 cited

Cited by

  • 2021From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

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41 cited
  • 2020High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response33 cited
  • 2021Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers31 cited
  • 2023Unveiling algorithmic power: exploring the impact of automated systems on disabled people’s engagement with social services22 cited
  • 2020Drone culture: perspectives on autonomy and anonymity13 cited