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A global scale comparison of risk aggregation in AI assessment frameworks
14 references·1 citing·53 second hopsampled
A global scale comparison of risk aggregation in AI assessment frameworks (2024)A global scale comparison of risk aggrega…Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study (2023)Towards Concrete and Connecte…Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects (2023)Implementing Responsible AI: …Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research (2023)Garbage in, garbage out: miti…Auditing large language models: a three-layered approach (2023)Auditing large language model…Advancing accountability in AI (2023)Advancing accountability in AITowards a standard for identifying and managing bias in artificial intelligence (2022)Towards a standard for identi…Taxonomy of Risks posed by Language Models (2022)Taxonomy of Risks posed by La…Regulating the Risks of AI (2022)Regulating the Risks of AIOperationalising AI Governance through Ethics-Based Auditing: An Industry Case Study (2022)Operationalising AI Governanc…Putting AI ethics to work: are the tools fit for purpose? (2021)Putting AI ethics to work: ar…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Understanding the notion of risk in the General Data Protection Regulation (2018)Understanding the notion of r…Are Risk Preferences Stable? (2018)Are Risk Preferences Stable?Risk assessment for modern industry (2025)Risk assessment for modern in…Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers. 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References

  • 2019The global landscape of AI ethics guidelines7,131 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines2,194 cited
  • 2022Taxonomy of Risks posed by Language Models861 cited
  • 2022Towards a standard for identifying and managing bias in artificial intelligence604 cited
  • 2018Are Risk Preferences Stable?467 cited
  • 2023Auditing large language models: a three-layered approach287 cited
  • 2021Putting AI ethics to work: are the tools fit for purpose?252 cited
  • 2018Understanding the notion of risk in the General Data Protection Regulation149 cited
  • 2022Operationalising AI Governance through Ethics-Based Auditing: An Industry Case Study130 cited
  • 2023Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research68 cited
  • 2022Regulating the Risks of AI51 cited
  • 2023Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects27 cited
  • 2023Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study19 cited
  • 2023Advancing accountability in AI18 cited

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  • 2025Risk assessment for modern industry6 cited

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