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Potential Impact of Data-Centric AI on Society
8 references·1 citing·33 second hop
Potential Impact of Data-Centric AI on Society (2023)Potential Impact of Data-Centric AI on So…Data collection and quality challenges in deep learning: a data-centric AI perspective (2023)Data collection and quality c…Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models (2023)Automated occupation coding w…Advances, challenges and opportunities in creating data for trustworthy AI (2022)Advances, challenges and oppo…HoloClean (2017)HoloCleanFairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness through awareness (2012)Fairness through awarenessInvestigating factors influencing Chinese teachers’ intelligent technology application: extending TAM with NET and IDT (2025)Investigating factors influen…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Data Cleaning: Problems and Current Approaches. (2000)Automating large-scale data quality verification (2018)Data Cleaning (2019)Can Foundation Models Wrangle Your Data? (2022)Big Data's Disparate Impact (2014)Fairness of Exposure in Rankings (2018)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Fairness in Machine Learning: A Survey (2023)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Model Cards for Model Reporting (2019)A Survey on Bias and Fairness in Machine Learning (2021)Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators (2023)Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements (2023)Quantifying the use and potential benefits of artificial intelligence in scientific research (2024)The art(fulness) of open-ended interviewing: some considerations on analysing interviews (2001)What does “occupation” represent as an indicator of socioeconomic status?: Exploring occupational prestige and health (2010)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Economic Action and Social Structure: The Problem of Embeddedness (1985)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Mindfulness and AI adoption: extending the technology acceptance model for Chinese media students (2025)Data cleaning and machine learning: a systematic literature review (2024)Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach (2024)Generative AI for Consumer Behavior Prediction: Techniques and Applications (2024)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2023Data collection and quality challenges in deep learning: a data-centric AI perspective570 cited
  • 2022Advances, challenges and opportunities in creating data for trustworthy AI561 cited
  • 2017HoloClean477 cited
  • 2023Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models15 cited

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  • 2025Investigating factors influencing Chinese teachers’ intelligent technology application: extending TAM with NET and IDT8 cited

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