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Models and good evaluative practices to detect impacts, risks and damages of artificial intelligence
9 references·0 citing·44 second hop
Models and good evaluative practices to detect impacts, risks and damages of artificial intelligence (2022)Models and good evaluative practices to d…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…Uncertainty, risk and the use of algorithms in policy decisions: a case study on criminal justice in the USA (2021)Uncertainty, risk and the use…The ethical AI—paradox: why better technology needs more and not less human responsibility (2021)The ethical AI—paradox: why b…Ethical and legal responsibility for Artificial Intelligence (2021)Ethical and legal responsibil…You cannot have AI ethics without ethics (2020)You cannot have AI ethics wit…Smart contracts o Code is Law (2020)Smart contracts o Code is LawDesigning for human rights in AI (2020)Designing for human rights in…Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law (2018)Teaching fairness to artifici…The Datafication of Health (2017)The Datafication of HealthDiscipline and Punish: The Birth of the Prison (1978)Reassembling the Social (2005)CRITICAL QUESTIONS FOR BIG DATA (2012)Broken data: Conceptualising data in an emerging world (2018)Data anxieties: Finding trust in everyday digital mess (2018)Algorithms, advertising and the intimacy of surveillance (2019)Private traits and attributes are predictable from digital records of human behavior (2013)Big Data, new epistemologies and paradigm shifts (2014)Fairness and Abstraction in Sociotechnical Systems (2019)Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations (2021)AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context (2022)Defining organizational AI governance (2022)Engineering a Safer World (2012)Engineering a safer world: systems thinking applied to safety (2012)Artificial intelligence ethics has a black box problem (2022)The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022)The uselessness of AI ethics (2022)Judgment under Uncertainty: Heuristics and Biases (1974)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Digital Social Policy: Past, Present, Future (2022)Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe (2023)Algorithms for a new season? Mapping a decade of research on the artificial intelligence-driven digital transformation of public administration (2025)Code and Other Laws of Cyberspace (2001)The Abuse of the “Confident Consumer” as a Justification for EC Consumer Law (2004)Contract law 2.0: ‘Smart’ contracts as the beginning of the end of classic contract law (2017)Contratos inteligentes: análisis jurídico desde el marco legal español (2020)Toward a Better Understanding of Behavioral Ethics in the Workplace (2019)Human-machine collaboration in managerial decision making (2021)Human–Algorithm Collaboration Works Best if Humans Lead (Because it is Fair!) (2021)The AI ethics maturity model: a holistic approach to advancing ethical data science in organizations (2022)Cultivating independent thinkers: The triad of artificial intelligence, Bloom’s taxonomy and critical thinking in assessment pedagogy (2025)Behavioral Study of obedience. (1963)Grundlegung zur Metaphysik der Sitten (2016)Overtrust of robots in emergency evacuation scenarios (2016)A Systematic Review of the Socio-Legal Dimensions of Responsible AI and Its Role in Improving Health and Safety in Construction (2024)Empathy: an ethical consideration of AI & others in the workplace (2024)Ethics in Artificial Intelligence: an Approach to Cybersecurity (2024)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic bias: review, synthesis, and future research directions (2021)Regulating ChatGPT and other Large Generative AI Models (2023)Artificial Intelligence and Business Value: a Literature Review (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

  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,192 cited
  • 2017The Datafication of Health529 cited
  • 2018Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law317 cited
  • 2020Designing for human rights in AI220 cited
  • 2020You cannot have AI ethics without ethics88 cited
  • 2021Uncertainty, risk and the use of algorithms in policy decisions: a case study on criminal justice in the USA76 cited
  • 2021The ethical AI—paradox: why better technology needs more and not less human responsibility50 cited
  • 2021Ethical and legal responsibility for Artificial Intelligence43 cited
  • 2020Smart contracts o Code is Law10 cited

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