Quiz contains 34 questions with Yes/No answers. Personal data and email are not tracked when completing this quiz.
AI literacy goes far beyond simply knowing what artificial intelligence is. It’s a holistic set of knowledge, skills, and attitudes that shape how people interact with AI in mindful, ethical, and emotionally aware ways. Recent research (Koch et al., 2024) identifies several interconnected domains that together define what it means to be “AI-literate.”
1. Applying AI
The ability to operate and communicate effectively with AI tools in everyday life. This includes writing prompts, interpreting AI responses, and using AI to support meaningful, goal-driven tasks.
2. Understanding AI
Having core knowledge of how AI works—its definitions, functions, strengths, and limitations. This includes recognizing both the advantages and disadvantages of AI in society and in one’s professional field.
3. Detecting AI
The ability to recognize when AI is present or influencing a system, such as identifying AI-based applications, distinguishing AI-generated content, or noticing when online communication is automated rather than human.
4.Creating AI
The ability to design or program AI applications or conceptualize new uses for AI systems. While this may involve technical skills, it also includes creatively imagining new ways AI can solve problems or improve processes.
5. AI Self-Efficacy
A sense of confidence and adaptability when learning about or working with AI. This reflects problem-solving ability, willingness to explore new tools, and persistence when faced with AI-related challenges.
6. AI Self-Competency & Ethics (an emerging and under-recognized domain)
The ability to manage one’s own information processing, emotions, and influence when engaging with AI. This includes emotional regulation, critical reflection, and awareness of persuasion—recognizing when AI may be shaping one’s thoughts, feelings, or decisions.
“Self-reflection on emotional experiences plays a critical role in psychological health, cognitive resilience, and emotional literacy.”
“AI literacy refers to the skills to understand and evaluate AI technologies, as well as to engage with them.”
“According to Hinton, today's large language models aren’t just spitting out plausible sentences. They're absorbing patterns of persuasion. "
About the interview with Geoffery Hinton, the "Godfather of AI"
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS - Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. Computers in Human Behavior Artificial Humans, 1(2), 100014. https://doi.org/10.1016/j.chbah.2023.100014
Han, S. T. (2025). Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI. arXiv https://doi.org/10.48550/arXiv.2504.20342
Karaduman, C. (2025). Pre-Service EFL Teachers’ Perceived AI Literacy and Competency: The integration of CHATGPT into English Language Teacher Education. SAGE Open, 15(3). https://doi.org/10.1177/21582440251379712
Koch, M. J., Carolus, A., Wienrich, C., & Latoschik, M. E. (2024). Meta AI literacy scale: Further validation and development of a short version. Heliyon, 10(2024), e39686. https://doi.org/10.1016/j.heliyon.2024.e39686
Markus, A., Carolus, A., & Wienrich, C. (2025). Objective Measurement of AI literacy: Development and validation of the AI Competency Objective Scale (AICOS). Computers and Education Artificial Intelligence, 9, 100485. https://doi.org/10.1016/j.caeai.2025.100485
Schwartz, E. H. (2025, September 2). AI pioneer warns that machines are better at emotional manipulation than you are at saying no. TechRadar. https://www.techradar.com/ai-platforms-assistants/ai-pioneer-warns-that-machines-are-better-at-emotional-manipulation-than-you-are-at-saying-no?utm_source=chatgpt.com
Soto-Sanfiel, M. T., Angulo-Brunet, A., & Lutz, C. (2025). The scale of artificial intelligence literacy for all (SAIL4ALL): assessing knowledge of artificial intelligence in all adult populations. Nature. https://doi.org/10.1057/s41599-025-05978-3
This webpage was written by Jessie McDowell (2025), with the organizational assistance of ChatGPT.