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

Ler agora

Conteúdo recomendado

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.

webinars

Artificial Intelligence for Business Leaders

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

webinars

Developing an AI Literate Nation

Learn how AI Singapore is developing an AI Fluent Nation

webinars

How AI Can Improve Your Data Strategy

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

webinars

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.

webinars