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Patterns and Antipatterns, Principles, and Pitfalls: Accountability and Transparency in Artificial Intelligence
12 references·2 citing·43 second hop
Patterns and Antipatterns, Principles, and Pitfalls: Accountability and Transparency in Artificial Intelligence (2020)Patterns and Antipatterns, Principles, an…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction (2019)Moral Crumple Zones: Cautiona…Managing Bias in AI (2019)Managing Bias in AIAutomating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Toward algorithmic transparency and accountability (2017)Toward algorithmic transparen…The ACM Code of Ethics and Professional Conduct (2017)The ACM Code of Ethics and Pr…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Meaningful information and the right to explanation (2017)Meaningful information and th…Life, Liberty, and Trade Secrets: Intellectual Property in the Criminal Justice System (2017)Life, Liberty, and Trade Secr…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Class Advantage, Commitment Penalty (2016)Class Advantage, Commitment P…Process safety in the era of AI: Assurance, deployment, and measurable risk reduction (2026)Process safety in the era of …Decoding Human Behavior with Big Data? Critical, Constructive Input from the Decision Sciences (2022)Decoding Human Behavior with …Distinction: A Social Critique of the Judgement of Taste. (1985)Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Signs of Social Class: The Experience of Economic Inequality in Everyday Life (2017)Distinction: A Social Critique of the Judgement of Taste* (2018)The Mark of a Woman’s Record: Gender and Academic Performance in Hiring (2018)Structural Sexism and Health in the United States: A New Perspective on Health Inequality and the Gender System (2019)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)A Survey on Bias and Fairness in Machine Learning (2021)Some Economics of Trade Secret Law (1991)Algorithmic realism (2020)Predict and Surveil (2020)Technologies of Crime Prediction: The Reception of Algorithms in Policing and Criminal Courts (2020)Big data: a revolution that will transform how we live, work, and think (2013)Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject (2018)Algorithms at Work: The New Contested Terrain of Control (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Dilemmas in a general theory of planning (1973)What Do Platforms Do? Understanding the Gig Economy (2020)Normal Accidents: Living with High Risk Technologies (1985)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)A model for types and levels of human interaction with automation (2000)Artificial Intelligence Policy in India: A Framework for Engaging the Limits of Data-Driven Decision-Making (2018)Human Judgment in algorithmic loops: Individual justice and automated decision‐making (2020)The flaws of policies requiring human oversight of government algorithms (2022)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Artificial intelligence and sustainable development goals nexus via four vantage points (2022)Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities (2023)The Ethical Concerns of Artificial Intelligence in Urban Planning (2024)Semantics derived automatically from language corpora contain human-like biases (2017)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)Fairness and Abstraction in Sociotechnical Systems (2019)Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns (2019)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)
this work references cited by second hop

References

  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2017Meaningful information and the right to explanation513 cited
  • 2016Class Advantage, Commitment Penalty373 cited
  • 2019Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction313 cited
  • 2019Managing Bias in AI237 cited
  • 2017Life, Liberty, and Trade Secrets: Intellectual Property in the Criminal Justice System200 cited
  • 2017Toward algorithmic transparency and accountability92 cited
  • 2017The ACM Code of Ethics and Professional Conduct66 cited

Cited by

  • 2022Decoding Human Behavior with Big Data? Critical, Constructive Input from the Decision Sciences20 cited
  • 2026Process safety in the era of AI: Assurance, deployment, and measurable risk reduction9 cited

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