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Increasing Trust in AI Services through Supplier's Declarations of Conformity
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Increasing Trust in AI Services through Supplier's Declarations of Conformity (2018)Increasing Trust in AI Services through S…Toward accountable human-centered AI: rationale and promising directions (2022)Toward accountable human-cent…FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency (2022)FAT Forensics: A Python toolb…A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions (2020)A framework for fostering tra…Safe Artificial General Intelligence via Distributed Ledger Technology (2019)Safe Artificial General Intel…Responsible AI by Design in Practice (2019)Responsible AI by Design in P…In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019)In AI We Trust? Factors That …The Problem of Social Cost (1960)The Use of Knowledge in Society (1996)Multiagent systems: algorithmic, game-theoretic, and logical foundations (2009)Certifying and Removing Disparate Impact (2015)Equality of Opportunity in Supervised Learning (2016)A comparative study of fairness-enhancing interventions in machine learning (2019)A new scale for the measurement of interpersonal trust1 (1967)An Integrative Model Of Organizational Trust (1995)Trust in Automation: Designing for Appropriate Reliance (2004)Trusting under risk – comparing human to AI decision support agents (2023)Artificial Intelligence in Business (2024)Trust and AI weight: human-AI collaboration in organizational management decision-making (2025)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Towards intellectual freedom in an AI Ethics Global Community (2021)Discerning Between the “Easy” and “Hard” Problems of AI Governance (2023)Using artificial intelligence to advance sustainable development in industrial markets: A complex adaptive systems perspective (2023)Supply Chain Management: Implementation Issues and Research Opportunities (1998)An introduction to Docker for reproducible research (2015)Model Cards for Model Reporting (2019)Perceived AI Consumer-Driven Decision Integrity: Assessing Mediating Effect of Cognitive Load and Response Bias (2025)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)The global landscape of AI ethics guidelines (2019)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Theoretical dimensions for integrating research on anticipatory governance, scientific foresight and sustainable S&T public policy design (2024)Faith and Artificial Intelligence (AI) in Catholic Education: A Theological Virtue Ethics Perspective (2025)Generative AI and the Metaverse: A Scoping Review of Ethical and Legal Challenges (2025)
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  • 2019In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes54 cited
  • 2022Toward accountable human-centered AI: rationale and promising directions46 cited
  • 2019Responsible AI by Design in Practice37 cited
  • 2019Safe Artificial General Intelligence via Distributed Ledger Technology22 cited
  • 2020A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions20 cited
  • 2022FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency15 cited

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