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Responsible AI at Google Research: Adversarial testing for generative AI safety

blog.research.google · published 16 November 2023

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1blogs citing
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22 Dec 2023
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22 Dec 2023
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Google Research
2023: A year of groundbreaking advances in AI and computing Read at the source ↗
22 Dec 2023

Links from this post

Link
Host
https://research.google/teams/responsible-ai/
research.google
https://en.wikipedia.org/wiki/Generative_artificial_intelligence
en.wikipedia.org
https://ai.google/discover/foundation-models/
ai.google
https://cloud.google.com/vertex-ai/docs/generative-ai/code/code-models-overview
cloud.google.com
https://workspace.google.com/blog/product-announcements/duet-ai-in-workspace-now-available
workspace.google.com
https://ai.google/responsibility/principles/
ai.google
https://ai.google/responsibility/responsible-ai-practices/
ai.google
https://github.com/google-research-datasets/seegull/tree/main
github.com
https://github.com/google-research-datasets/SPICE/tree/main
github.com
https://medium.com/jigsaw/scaling-machine-learning-fairness-with-societal-context-be73d4ad38e2
medium.com
https://policies.google.com/terms/generative-ai/use-policy
policies.google.com
https://arxiv.org/abs/2311.08592
arxiv.org
Supporting benchmarks for AI safety with MLCommons Read at the source ↗
blog.research.google
https://sites.google.com/corp/google.com/earr-external-research-group/home
sites.google.com
https://dynabench.org/tasks/adversarial-nibbler
dynabench.org
https://arxiv.org/abs/2305.14384
arxiv.org
https://sites.google.com/view/art-of-safety
sites.google.com
http://www.ijcnlp-aacl2023.org/
ijcnlp-aacl2023.org
https://arxiv.org/abs/2306.11530
arxiv.org
https://arxiv.org/abs/2311.05074
arxiv.org
https://arxiv.org/abs/2306.11247
arxiv.org
https://github.com/google-research-datasets/dices-dataset
github.com