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Insights into Artificial Intelligence Bias: Implications for Agriculture
16 references·0 citing·37 second hop
Insights into Artificial Intelligence Bias: Implications for Agriculture (2024)Insights into Artificial Intelligence Bia…Recommendations for ethical and responsible use of artificial intelligence in digital agriculture (2022)Recommendations for ethical a…Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods (2022)Overcoming the pitfalls and p…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…Addressing bias in big data and AI for health care: A call for open science (2021)Addressing bias in big data a…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…The future(s) of open science (2018)The future(s) of open scienceGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Catalogue of bias: attrition bias (2018)Catalogue of bias: attrition …AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity (2017)The Ugly Truth About Ourselve…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessConscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification (2017)Conscientious Classification:…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Discrimination-aware data mining (2008)Three naive Bayes approaches for discrimination-free classification (2010)Fairness through awareness (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Equality of Opportunity in Supervised Learning (2016)Fairness and Abstraction in Sociotechnical Systems (2019)Mitigating Unwanted Biases with Adversarial Learning (2018)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)A High-Level Overview of AI Ethics (2020)Algorithmic fairness in education (2022)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Semantics derived automatically from language corpora contain human-like biases (2017)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The weirdest people in the world? (2010)WEIRD languages have misled us, too [Comment on Henrich et al.] (2010)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing (2023)The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT (2023)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Towards a standard for identifying and managing bias in artificial intelligence (2022)Humans inherit artificial intelligence biases (2023)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2017Counterfactual Fairness995 cited
  • 2021Addressing bias in big data and AI for health care: A call for open science902 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2018The future(s) of open science372 cited
  • 2017The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity336 cited
  • 2022Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods230 cited
  • 2018Catalogue of bias: attrition bias204 cited

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2017
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification
195 cited
  • 2022Recommendations for ethical and responsible use of artificial intelligence in digital agriculture187 cited
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