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What measures should companies prioritize for face recognition model datasets to avoid legal troubles and discrimination risks?
①End up excluding certain attributes.
②Restrict collection to a single source.
③Deploy to production without testing.
④Consider multiple attributes and demographics to ensure representativeness, and evaluate and mitigate bias.
⑤Use only synthetic data for testing.