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FARR: FAIR in ML, AI Readiness, & Reproducibility
FARR - FAIR AI Readiness & Reproducibility
“Our researcher and practitioner survey shows that 83.8% of participants are unaware of or unsure about any implementation-level variance1.”
Building communities to
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Promote better practices for AI
Harness community efforts
Improve efficiency and reproducibility
Stimulate and enhance new research
If you are interested in
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Promoting better practices for AI
Improving efficiency and reproducibility
Exploring research gaps and priorities for data-centric AI
Activities will include
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Workshops
Assessing community needs
Fostering new collaborations (proposals)
Setting research agendas
Community-led reports
For more info, contact us at community@farr-rcn.org
NSF Award # 2226453
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