Skip to main content
white paper

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

VP, Trusted AI, DataRobot

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

Data Science Evangelist at DataCamp

Hands-on learning experience

Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers

Learn More

Upskill your teams in data science and analytics

Learn More

Join 2.000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.