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AAAI News
2014
The AI Magazine
Preserved Fulltext
Summer News from the Association for the Advancement of Artificial Intelligence. ...
We invite your participation at the Twenty-Ninth AAAI Conference on Artificial Intelligence, the First Winter AAAI, to be held in Austin, Texas, USA, January 25-29, 2015. ...
The 2015 AAAI Distinguished Service Award will recognize one individual for extraordinary service to the AI community. Awards will be presented at AAAI-15 in Austin, Texas, USA. ...
doi:10.1609/aimag.v35i2.2545
fatcat:plnadbbycrc3bnrjry3vxmukdq
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
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Finally, we analyze these datasets from the perspective of five important data curation topics: anonymization, consent, inclusivity, sensitive attributes, and transparency. ...
Unfortunately, the algorithmic fairness community suffers from a collective data documentation debt caused by a lack of information on specific resources (opacity) and scatteredness of available information ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris ...
arXiv:2202.01711v2
fatcat:5hf4a42pubc5vnt7tw3al4m5bq
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Finally, we analyze these resources from the perspective of five important data curation topics: anonymization, consent, inclusivity, labeling of sensitive attributes, and transparency. ...
Unfortunately, the algorithmic fairness community, as a whole, suffers from a collective data documentation debt caused by a lack of information on specific resources (opacity) and scatteredness of available ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc ...
doi:10.48550/arxiv.2202.01711
fatcat:mav36x3w5namjhurzpevtsmsju