Direkt zum Inhalt

Infographic

Data Literacy for Responsible AI

January 2021

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

Recommended Content

The Learning Leader's Guide to AI Literacy

Find out how learning leaders should be approaching AI literacy within their organization, focusing on the what, why, and how of fostering organization-wide AI literacy.

white papers

Data Literacy for Responsible AI

The role of data literacy as the basis for scalable, trustworthy AI governance.

Artificial Intelligence for Business Leaders

We'll answer the questions about AI that you've been too afraid to ask.

Developing an AI Literate Nation

Learn how AI Singapore is developing an AI Fluent Nation

How AI Can Improve Your Data Strategy

Find out how AI, ML, and data science can inform your data strategy.

Spreading Data & AI Literacy Across Your Organization

Learn how to devise a data and AI strategy that aligns with your business strategy, and how to combine technology and training to increase the data and AI literacy across your company for business success.

Hands-on learning experience

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

Upskill your teams in data science and analytics

Join 5,000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.