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Bias in Artificial Intelligence Systems
16 references·2 citing·41 second hop
Bias in Artificial Intelligence Systems (2021)Bias in Artificial Intelligence SystemsPrincipled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Legal and human rights issues…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…AI Ethics (2020)AI EthicsAdvanced Introduction to Law and Artificial Intelligence (2020)Advanced Introduction to Law …Managing Bias in AI (2019)Managing Bias in AIActionable Auditing (2019)Actionable AuditingTeaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law (2018)Teaching fairness to artifici…Ethical Implications of Bias in Machine Learning (2018)Ethical Implications of Bias …Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass (2017)Toward Accountable Discrimina…Machine learning: Implications for translator education (2017)Machine learning: Implication…Algorithmic Bias in Autonomous Systems (2017)Algorithmic Bias in Autonomou…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactGaydar: Facebook friendships expose sexual orientation (2009)Gaydar: Facebook friendships …Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System (2008)Evaluating the Predictive Val…Automation and Accountability in Decision Support System Interface Design (2006)Automation and Accountability…Quantifying the progress of artificial intelligence subdomains using the patent citation network (2024)Quantifying the progress of a…Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices (2024)Balancing the scale: navigati…A General Theory of Crime (1990)Foundations of social theory (1990)Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy (1997)Women’s Risk Factors and Their Contributions to Existing Risk/Needs Assessment (2010)Women’s Pathways to Serious and Habitual Crime (2012)RISK, RACE, AND RECIDIVISM: PREDICTIVE BIAS AND DISPARATE IMPACT* (2016)Discrimination-aware data mining (2008)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)Algorithmic bias in data-driven innovation in the age of AI (2021)The ethics of algorithms: key problems and solutions (2021)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)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)Accountability in algorithmic decision making (2016)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Roles for computing in social change (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)CRITICAL QUESTIONS FOR BIG DATA (2012)Fairness through awareness (2012)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Six Human-Centered Artificial Intelligence Grand Challenges (2023)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)The Black Box Society: The Secret Algorithms That Control Money and Information (2016)The ethics of algorithms: Mapping the debate (2016)Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults (2021)An Overview of Artificial Intelligence Ethics (2022)Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots (2023)Designing fair AI for managing employees in organizations: a review, critique, and design agenda (2020)Gender Bias in Machine Translation (2021)Artificial intelligence, algorithms, and social inequality: Sociological contributions to contemporary debates (2022)Bridging the Gap Between Ethics and Practice (2020)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Embedding Values in Artificial Intelligence (AI) Systems (2020)Framing governance for a contested emerging technology:insights from AI policy (2020)Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent? (2022)
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References

  • 2014Big Data's Disparate Impact3,046 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2020AI Ethics939 cited
  • 2019Actionable Auditing650 cited
  • 2020Legal and human rights issues of AI: Gaps, challenges and vulnerabilities493 cited
  • 2017Algorithmic Bias in Autonomous Systems472 cited
  • 2008Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System340 cited
  • 2018Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law317 cited
  • 2019Managing Bias in AI237 cited
  • 2009Gaydar: Facebook friendships expose sexual orientation222 cited
  • 2006Automation and Accountability in Decision Support System Interface Design155 cited
  • 2018Ethical Implications of Bias in Machine Learning130 cited
  • 2020Advanced Introduction to Law and Artificial Intelligence46 cited
  • 2017Machine learning: Implications for translator education46 cited

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2017
Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass
32 cited

Cited by

  • 2024Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices68 cited
  • 2024Quantifying the progress of artificial intelligence subdomains using the patent citation network7 cited