AI literacy is the knowledge and skills that enable humans to critically understand, evaluate, and use AI systems and tools to safely and ethically participate in an increasingly digital world.
As artificial intelligence (AI) becomes increasingly prevalent in our daily lives and educational settings, it is imperative to equip learners, educators, and leaders with the necessary skills and knowledge to navigate this emerging technology responsibly. Our AI Literacy Framework (depicted below) consists of three interconnected Modes of Engagement: Understand, Evaluate, and Use. The framework emphasizes that understanding and evaluating AI are critical to making informed decisions about if and how to use AI in learning environments.
Figure 1. AI Literacy Framework includes three components: Understand, Evaluate, and Use
At Digital Promise, we are applying this framework to enable all who participate in educational settings to leverage AI tools for powerful learning. Our six AI literacy practices, which are actionable skills that learners can demonstrate, define how users can understand and evaluate AI-enabled tools and how educators can support AI literacy development.
Our expanded AI Literacy Framework depicts the relationship between AI Literacy Practices, Core Values, Modes of Engagement, and Types of Use. Below is a table description of each component.
Figure 2. Expanded AI Literacy Framework, including Core Values, Modes of Engagement, Types of Use, and AI Literacy Practices
AI Literacy Practices
Actionable practices of understand and evaluate that learners can demonstrate
Data Privacy & Security, Information & Mis/Disinformation
Core Values
Underlying principles that support learners to safely and effectively use AI tools
Human Judgment, Centering Justice
Modes of Engagement
Interconnected ways users can engage with AI-enabled tools in order to demonstrate AI literacy
Understand, Evaluate, Use
Types of Use
Distinct purposes for which users engage with AI-enabled tools
Interact, Create, Problem Solve
AI Literacy Practices
Actionable practices of understand and evaluate that learners can demonstrate
Data Privacy & Security, Information & Mis/Disinformation
Core Values
Underlying principles that support learners to safely and effectively use AI tools
Human Judgment, Centering Justice
Modes of Engagement
Interconnected ways users can engage with AI-enabled tools in order to demonstrate AI literacy
Understand, Evaluate, Use
Types of Use
Distinct purposes for which users engage with AI-enabled tools
Interact, Create, Problem Solve
Table 1. Components of the AI Literacy Framework
Artificial Intelligence in Education
