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Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information
16 references·0 citing·44 second hop
Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information (2022)Using Knowledge Graphs to Unlock Practica…From transparency to accountability of intelligent systems: Moving beyond aspirations (2022)From transparency to accounta…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database (2021)Preventing Repeated Real Worl…A Semantic Framework to Support AI System Accountability and Audit (2021)A Semantic Framework to Suppo…What to account for when accounting for algorithms (2020)What to account for when acco…Reviewable Automated Decision-Making (2020)Reviewable Automated Decision…Closing the AI accountability gap (2020)Closing the AI accountability…The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (2019)The IEEE Global Initiative on…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)FactSheets: Increasing trust …Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Accountability for Practical Reasoning Agents (2019)Accountability for Practical …Predicting future AI failures from historic examples (2018)Predicting future AI failures…Decision Provenance: Harnessing Data Flow for Accountable Systems (2018)Decision Provenance: Harnessi…Of, for, and by the people: the legal lacuna of synthetic persons (2017)Of, for, and by the people: t…Algorithmic Accountability Reporting: On the Investigation of Black Boxes (2014)Algorithmic Accountability Re…The Historic Background of Corporate Legal Personality (1926)Limited Liability and the Corporation (1985)The Myth of Morality (2001)Welcoming Robots into the Moral Circle: A Defence of Ethical Behaviourism (2019)ARTIFICIAL INTELLIGENCE AND THE LIMITS OF LEGAL PERSONALITY (2020)Trusting Automation: Designing for Responsivity and Resilience (2021)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Data Feminism (2020)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Another look at measures of forecast accuracy (2006)A THEORY OF HUMAN MOTIVATION (2017)Socially Responsible AI Algorithms: Issues, Purposes, and Challenges (2021)The ethics of algorithms: key problems and solutions (2021)Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure (2021)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Algorithmic Bias in Education (2021)Street-Level Bureaucracy: Dilemmas of the Individual in Public Services (1981)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The ethics of algorithms: Mapping the debate (2016)Trustworthy AI: A Computational Perspective (2022)AI governance: themes, knowledge gaps and future agendas (2023)PRODUCT DEVELOPMENT: PAST RESEARCH, PRESENT FINDINGS, AND FUTURE DIRECTIONS (1995)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Bridging the Gap Between Ethics and Practice (2020)Trustworthy AI: From Principles to Practices (2022)Trustworthy Artificial Intelligence: A Review (2022)The accuracy, fairness, and limits of predicting recidivism (2018)Filling gaps in trustworthy development of AI (2021)Artificial intelligence in government: Concepts, standards, and a unified framework (2023)AI auditing: The Broken Bus on the Road to AI Accountability (2024)Fact Checking: Task definition and dataset construction (2014)"I always assumed that I wasn't really that close to [her]" (2015)Auditing radicalization pathways on YouTube (2020)How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle (2018)What's Next for AI Ethics, Policy, and Governance? A Global Overview (2020)Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations (2021)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)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2020Closing the AI accountability gap1,445 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2019FactSheets: Increasing trust in AI services through supplier's declarations of conformity434 cited
  • 2017Of, for, and by the people: the legal lacuna of synthetic persons367 cited
  • 2020What to account for when accounting for algorithms320 cited
  • 2019The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems307 cited
  • 2014Algorithmic Accountability Reporting: On the Investigation of Black Boxes222 cited
  • 2021Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database155 cited
  • 2018Decision Provenance: Harnessing Data Flow for Accountable Systems110 cited
  • 2018Predicting future AI failures from historic examples75 cited
  • 2022From transparency to accountability of intelligent systems: Moving beyond aspirations56 cited
  • 2021A Semantic Framework to Support AI System Accountability and Audit29 cited
  • 2019Accountability for Practical Reasoning Agents

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24 cited
  • 2020Reviewable Automated Decision-Making18 cited
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