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Measuring adherence to AI ethics: a methodology for assessing adherence to ethical principles in the use case of AI-enabled credit scoring application
16 references·0 citing·47 second hop
Measuring adherence to AI ethics: a methodology for assessing adherence to ethical principles in the use case of AI-enabled credit scoring application (2024)Measuring adherence to AI ethics: a metho…To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts (2022)To trust or not to trust? An …Putting AI ethics to work: are the tools fit for purpose? (2021)Putting AI ethics to work: ar…Operationalising AI ethics: barriers, enablers and next steps (2021)Operationalising AI ethics: b…Fairness in credit scoring: Assessment, implementation and profit implications (2021)Fairness in credit scoring: A…Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI (2020)Why Fairness Cannot Be Automa…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…The Delphi Technique: Making Sense of Consensus (2020)The Delphi Technique: Making …Banking on AI: mandating a proactive approach to AI regulation in the financial sector (2020)Banking on AI: mandating a pr…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Establishing the rules for building trustworthy AI (2019)Establishing the rules for bu…Ethical governance is essential to building trust in robotics and artificial intelligence systems (2018)Ethical governance is essenti…Use (and abuse) of expert elicitation in support of decision making for public policy (2014)Use (and abuse) of expert eli…A Taxonomy of Privacy (2006)A Taxonomy of PrivacyCredit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…The analytic hierarchy process—what it is and how it is used (1987)The analytic hierarchy proces…Group Techniques for Program Planning (1975)Group Techniques for Program …Decision making for leaders (1985)The Analytic Hierarchy Process (1985)Axiomatic Foundation of the Analytic Hierarchy Process (1986)Handbook on Constructing Composite Indicators (2005)Tools for Composite Indicators Building (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Consumer credit-risk models via machine-learning algorithms (2010)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Judgment under Uncertainty (1982)A practical guide to structured expert elicitation using the IDEA protocol (2017)Climate as a risk factor for armed conflict (2019)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Book Reviews: Kerlinger, Fred N. 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References

  • 2019The global landscape of AI ethics guidelines7,131 cited
  • 1987The analytic hierarchy process—what it is and how it is used5,554 cited
  • 2020The Delphi Technique: Making Sense of Consensus4,677 cited
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  • 2006A Taxonomy of Privacy1,495 cited
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  • 2021Putting AI ethics to work: are the tools fit for purpose?252 cited
  • 2020Banking on AI: mandating a proactive approach to AI regulation in the financial sector238 cited
  • 2021Operationalising AI ethics: barriers, enablers and next steps

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215 cited
  • 2021Fairness in credit scoring: Assessment, implementation and profit implications196 cited
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