Explore our Literacy Framework designed for students, faculty and staff aiming to achieve AI Literacy. This comprehensive resource provides essential knowledge and skills to navigate the evolving landscape of artificial intelligence in education and professional settings.
Dimension 1: Understanding AI
Encompasses understanding how AI systems work, the principles of data collection, processing, and interpretation, and the implications of AI-generated output. Proficiency in this area enables individuals to critically engage with AI tools, assess their capabilities and limitations, and make informed decisions about their use.
| Competency Level 1 | Competency Level 2 | Competency Level 3 |
|---|---|---|
AI & Data Awareness
|
AI & Data in Action [Coming soon, TBD] | AI & Data Optimization |
Dimension 2: Critical Thinking & Judgment (Evaluation)
Focuses on the ability to evaluate AI-generated content, discern biases, and apply logical reasoning when using AI in decision-making. It includes skills such as verifying sources, identifying misinformation, recognizing limitations in AI-generated insights, and ensuring that human judgment remains central to AI-supported processes. Critical thinking ensures that AI is used as a tool for augmentation rather than blind reliance.
| Competency Level 1 | Competency Level 2 | Competency Level 3 |
|---|---|---|
| Question AI Output | Evaluate AI Output | Challenge AI Output |
Dimension 3: Ethical & Responsible Use
Covers the ethical considerations and governance frameworks necessary for responsible AI adoption. It includes understanding AI ethics principles (such as fairness, transparency, accountability, and privacy), recognizing potential risks (such as bias, discrimination, and misinformation), and implementing responsible AI use practices. It also involves navigating regulatory and institutional guidelines to ensure compliance and integrity in AI applications.
| Competency Level 1 | Competency Level 2 | Competency Level 3 |
|---|---|---|
| Understand Risks | Apply Responsible Practices | Shape Responsible Practices |
Dimension 4: Human-Centricity, Emotional Intelligence & Creativity
Emphasizes the importance of human skills in an AI-driven world, including empathy, adaptability, communication, lifelong learning, and mindset. As AI automates tasks, human-centered skills become critical in maintaining ethical decision-making, fostering inclusive and diverse AI practices, and ensuring AI aligns with societal values. It also involves managing the impact of AI on human interactions and well-being in educational and professional settings.
| Competency Level 1 | Competency Level 2 | Competency Level 3 |
|---|---|---|
| Awareness of Human–AI Interaction | AI as a Collaborative Tool | Develop Human-Centered AI Practices |
Dimension 5: Domain Expertise
Focuses on the specialized knowledge and skills required to understand, assess, and manage the impact of AI within a specific academic or professional context. It includes the ability to critically evaluate AI applications within a given discipline, adapt AI tools to enhance professional practices, and navigate domain-specific ethical, regulatory, and operational challenges.
| Competency Level 1 | Competency Level 2 | Competency Level 3 |
|---|---|---|
| Applied AI Awareness | AI Application in Professional Contexts | Strategic AI Leadership |