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This paper introduces a no-code, machine-readable documentation framework for open datasets, with a focus on responsible AI (RAI) considerations.
Open data: Unlocking innovation and performance with Liquid Information
Manyika, J. et al · 2013
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Buolamwini, J. & Gebru, T · 2018
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Data statements for natural language processing: Toward mitigating system bias and enabling better science
Bender, E. M. & Friedman, B · 2018
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Privacy in the age of medical big data
Price, W. N. & Cohen, I. G · 2019
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Trivedi, A., Mukherjee, S., Tse, E., Ewing, A. & Ferres, J. L · 2019
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Why Bad Data Could Cost Entrepreneurs Millions
Davie, M · 2019
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Raji, I. D. & Yang, J · 2019
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Dissecting racial bias in an algorithm used to manage the health of populations
Obermeyer, Z., Powers, B., Vogeli, C. & Mullainathan, S · 2019
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Tackling bias in artificial intelligence (and in humans)
Silberg, J. & Manyika, J · 2019
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The dataset nutrition label
Holland, S., Hosny, A., Newman, S., Joseph, J. & Chmielinski, K · 2020
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Data and its (dis) contents: A survey of dataset development and use in machine learning research
Paullada, A., Raji, I. D., Bender, E. M., Denton, E. & Hanna, A · 2021
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WHAT IS DATA INTEGRITY AND WHY DOES IT MATTER?
Cote, C · 2021
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How to Improve Your Data Quality
Sakpal, M · 2021
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Datasheets for datasets
Gebru, T. et al · 2021
Cited alongside, same era.
Towards accountability for machine learning datasets: Practices from software engineering and infrastructure
Hutchinson, B. et al · 2021
Cited alongside, same era.
Datasheets for datasets help ml engineers notice and understand ethical issues in training data
Boyd, K. L · 2021
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McMillan-Major, A. et al · 2021
Cited alongside, same era.
Datasets: A community library for natural language processing
Lhoest, Q. et al · 2021
Cited alongside, same era.
The True Cost Of Bad Data And How It Can Hinder The Benefits Of AI
Bruno, B · 2023
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https://github.com/microsoft/clinical_visit_note_summarization_corpus (2023)
clinical visit note summarization corpus · 2023
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https://github.com/microsoft/Clandestino/tree/main (2023)
clandestino · 2023
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https://github.com/microsoft/RTP-LX (2023)
RTP-LX · 2023
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Frictionless Data
Frictionless Data Team · 2023
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Frictionless Data Specs
Team, F. D · 2023
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Open data on github: Unlocking the potential of ai (2023)
Roman, A. C. et al · 2023
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Understanding machine learning practitioners’ data documentation perceptions, needs, challenges, and desiderata
Heger, A. K., Marquis, L. B., Vorvoreanu, M., Wallach, H. & Wortman Vaughan, J · 2022
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Ten simple rules for improving research data discovery (2022)
Contaxis, N. et al · 2022
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Chmielinski, K. S. et al · 2022
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Data cards: Purposeful and transparent dataset documentation for responsible ai
Pushkarna, M., Zaldivar, A. & Kjartansson, O · 2022
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AETHER DATA DOCUMENTATION TEMPLATE
Microsoft · 2022
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Open data and algorithms for open science in ai-driven molecular informatics
Brinkhaus, H. O., Rajan, K., Schaub, J., Zielesny, A. & Steinbeck, C · 2023
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Training AI on personal data scraped from the web
Fazlioglu, M · 2023
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Human-centered design to address biases in artificial intelligence
Chen, Y., Clayton, E. W., Novak, L. L., Anders, S. & Malin, B · 2023
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confidentiality - Glossary: CSRC
CSRC, N · 2023
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New categories, new rights: The CPRA’s opt-out provision for sensitive data
Ringrose, K · 2023
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What is special category data?
ICO · 2023
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https://www.microsoft.com/en-us/research/group/ai-for-good-research-lab/ (2024)
Microsoft AI For Good Lab · 2024
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