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      "text": "16. Responsible AI: Organizations have an industrialized, responsible approach to data and AI across the complete lifecycle of their AI models—an approach that can meet changing regulatory requirements, mitigate risks, and support sustainable, trustworthy AI.\n\n17. Responsible AI—Change: Organizations have improved their responsible data and AI practices between 2018 and 2021, effectively translating into a higher data and AI maturity.",
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      "text": "13. Innovation Culture Embedded: Organizations ensure innovation is part of the day-to-day work environment. They encourage mindsets, behaviors and routines that all serve as a vehicle for experimentation, collaboration and learning from ideation to product development to market launch.\n\n14. Innovation Culture Encouraged: Organizations promote and reward innovative mindsets and behaviors including entrepreneurship, collaboration and thoughtful risk-taking.\n\n15. AI Talent Strategy: Organizations have an AI talent strategy—hiring, acquiring, retention—that evolves to keep pace with market or business needs. They also have an AI talent roadmap for hiring diverse AI-related roles, beyond just ML engineers—such as behavioral scientists, social scientists, and ethicists.",
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