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Towards Composable Bias Rating of AI Services
2 references·5 citing·23 second hop
Towards Composable Bias Rating of AI Services (2018)Towards Composable Bias Rating of AI Serv…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Moral machines: teaching robots right from wrong (2009)Moral machines: teaching robo…Utilizing data driven methods to identify gender bias in LinkedIn profiles (2023)Utilizing data driven methods…Recent Advances in Algorithmic Biases and Fairness in Financial Services: A Survey (2022)Recent Advances in Algorithmi…Fairness, Accountability, Sustainability, Transparency (FAST) of Artificial Intelligence in Terms of Hospitality Industry (2022)Fairness, Accountability, Sus…Gender Bias in AI: Implications for Managerial Practices (2021)Gender Bias in AI: Implicatio…Rating AI systems for bias to promote trustable applications (2019)Rating AI systems for bias to…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Bias and Fairness in Large Language Models: A Survey (2024)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Gender Bias in Online Language Translators: Visualization, Human Perception, and Bias/Accuracy Tradeoffs (2021)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research (2023)Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM (2024)Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation (2017)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Bias in computer systems (1996)Data preprocessing techniques for classification without discrimination (2011)Toward A Two-Sided Fairness Framework in Search and Recommendation (2023)Theories of Group Behavior (1987)A Review on Fairness in Machine Learning (2022)The ethics of artificial intelligence (2014)Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities (2020)Six Human-Centered Artificial Intelligence Grand Challenges (2023)
this work references cited by second hop

References

  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2009Moral machines: teaching robots right from wrong793 cited

Cited by

  • 2023Utilizing data driven methods to identify gender bias in LinkedIn profiles25 cited
  • 2019Rating AI systems for bias to promote trustable applications22 cited
  • 2021Gender Bias in AI: Implications for Managerial Practices20 cited
  • 2022Recent Advances in Algorithmic Biases and Fairness in Financial Services: A Survey16 cited
  • 2022Fairness, Accountability, Sustainability, Transparency (FAST) of Artificial Intelligence in Terms of Hospitality Industry15 cited

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