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Knowledge representation and acquisition for ethical AI: challenges and opportunities
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Knowledge representation and acquisition for ethical AI: challenges and opportunities (2023)Knowledge representation and acquisition …Viewpoint: Human-in-the-loop Artificial Intelligence (2019)Viewpoint: Human-in-the-loop …Responsible Artificial Intelligence (2019)Responsible Artificial Intell…Fairness definitions explained (2018)Fairness definitions explainedMachine learning, social learning and the governance of self-driving cars (2017)Machine learning, social lear…Incorporating Ethics into Artificial Intelligence (2017)Incorporating Ethics into Art…Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessThe social dilemma of autonomous vehicles (2016)The social dilemma of autonom…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness through awareness (2012)Fairness through awarenessFairness-aware Learning through Regularization Approach (2011)Fairness-aware Learning throu…Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Causes and Explanations: A Structural-Model Approach. Part I: Causes (2005)Causes and Explanations: A St…Artificial Morality: Top-down, Bottom-up, and Hybrid Approaches (2005)Artificial Morality: Top-down…The Trolley Problem (1985)The Trolley ProblemIncorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Causation (1973)Causation as Influence (2000)Causation and Counterfactuals (2004)Cause and Norm (2009)Causal–explanatory pluralism: How intentions, functions, and mechanisms influence causal ascriptions (2010)Grounding in the image of causation (2015)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age (2017)Machine behaviour (2019)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Living High and Letting Die (1996)Causation and Responsibility (2009)The Ethics of Accident-Algorithms for Self-Driving Cars: an Applied Trolley Problem? (2016)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)An Overview of Artificial Intelligence Ethics (2022)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)
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References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2016The social dilemma of autonomous vehicles1,520 cited
  • 1985The Trolley Problem1,379 cited
  • 2018Fairness definitions explained1,125 cited
  • 2019Responsible Artificial Intelligence1,064 cited
  • 2017Counterfactual Fairness995 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2005Causes and Explanations: A Structural-Model Approach. Part I: Causes781 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2017Incorporating Ethics into Artificial Intelligence388 cited
  • 2019Viewpoint: Human-in-the-loop Artificial Intelligence380 cited
  • 2017Machine learning, social learning and the governance of self-driving cars376 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2005Artificial Morality: Top-down, Bottom-up, and Hybrid Approaches

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