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Data Literacy for Responsible AI

70% of customers expect organizations to provide AI interactions and products that are transparent and fair (Capgemini). Now more than ever, organizations need to govern deployed AI systems to minimize harm for end-users and organizational risk. In this white paper co-written with the Trusted AI team at DataRobot, we outline:

  • The importance of developing responsible AI and what it means for organizations today
  • Practical solutions data teams and organizations can adopt to mitigate risk in AI systems
  • The crucial role data literacy plays when scaling responsible AI and aligning stakeholders on AI Governance frameworks
Ted Kwartler Headshot
Ted Kwartler

Haniyeh Mahmoudian, PhD Headshot
Haniyeh Mahmoudian, PhD

Global AI Ethicist, DataRobot

Sarah Khatry Headshot
Sarah Khatry

Managing Director, AI Ethics, DataRobot

Adel Nehme Headshot
Adel Nehme

VP of Media at DataCamp

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