---
title: AI Literacy
type: concept
frequency: 43
papers_count: 43
related_concepts:
  - Algorithmic Bias
  - Algorithmic Fairness
  - Prompt Engineering
  - Machine Learning Literacy
  - Digital Divide
tags:
  - concept
---
# AI Literacy

## Definition

Die kognitiven und behavioralen Fähigkeiten, die es Individuen auf allen Organisationsebenen ermöglichen, AI-Systeme kritisch zu verstehen, zu evaluieren und damit zu interagieren. Umfasst eine tripartite Struktur (Kognition-Verhalten-Einstellung) über generische AI-Konzepte, domänenspezifische Anwendungen und ethische Dimensionen.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Algorithmic Bias]] | 13 |
| [[Algorithmic Fairness]] | 13 |
| [[Prompt Engineering]] | 6 |
| [[Machine Learning Literacy]] | 4 |
| [[Digital Divide]] | 3 |
| [[Human-AI Collaboration]] | 3 |
| [[Responsible AI Use]] | 2 |
| [[Inclusive AI Design]] | 2 |

## Papers

- [[Artificial Intelligence (AI) Literacy for Social Work- Implications for Core Competencies]]
- [[Beyond transparency and explainability- On the need for adequate and contextualized user guidelines (Barman_2024_Beyond_transparency_and_expl)]]
- [[The AI literacy development canvas- Assessing and building AI literacy in organizations]]
- [[Leitfaden Digitale Verwaltung und Ethik- Praxisleitfaden für KI in der Verwaltung, Version 1.0]]
- [[AI literacy in K-12- a systematic literature review]]
- [[A Competency Framework for AI Literacy- Variations by Different Learner Groups and an Implied Learning Pathway]]
- [[What are artificial intelligence literacy and competency- A comprehensive framework to support them]]
- [[AI literacy and competency- definitions, frameworks, development and future research directions]]
- [[Imagination, Algorithms and News- Developing AI Literacy for Journalism]]
- [[AI literacy in teacher education- Empowering educators through critical co-discovery]]
- [[Reflexive prompt engineering- A framework for responsible prompt engineering and AI interaction design]]
- [[Prompten nach Plan- Das PCRR-Framework als pädagogisches Werkzeug für den Einsatz von Künstlicher Intelligenz]]
- [[Prompten nach Plan- Das PCRR-Framework als pädagogisches Werkzeug für den Einsatz von Künstlicher In (Freinhofer_2025_Prompten_nach_Plan_Das_P)]]
- [[Artificial Intelligence and Intersectionality]]
- [[Operationalizing positive-constructive pedagogy to artificial intelligence- the 3E model for scaffolding AI technology adoption]]
- [[Assessing trustworthy AI- Technical and legal perspectives of fairness in AI]]
- [[Kim_2021_Why_and_What_to_Teach_AI_Curriculum_for]]
- [[Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds]]
- [[Artificial Intelligence (AI) literacy – an argument for AI literacy in education]]
- [[Artificial Intelligence Competence Needs for Youth Workers]]
- [[Development of the “Scale for the assessment of non-experts’ AI literacy” – An exploratory factor analysis]]
- [[What is AI Literacy- Competencies and Design Considerations]]
- [[Conceptualizing AI literacy- An exploratory review]]
- [[Ng_2022_Using_digital_story_writing_as_a_pedagogy_to]]
- [[Ng_2025_Opportunities,_challenges_and_school_strategies]]
- [[LIBRA- Measuring bias of large language model from a local context]]
- [[AI algorithm transparency, pipelines for trust not prisms- mitigating general negative attitudes and enhancing trust toward AI]]
- [[AI Literacy - Towards Measuring Human Competency in Artificial Intelligence]]
- [[Pinski_2024_AI_Literacy_for_the_top_management_An_upper]]
- [[AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects]]
- [[AI & Intersectionality- A Toolkit For Fairness & Inclusion]]
- [[AI Literacy- A Framework to Understand, Evaluate, and Use Emerging Technology]]
- [[Gender Bias in Artificial Intelligence- Empowering Women Through Digital Literacy]]
- [[Generative AI and opportunities for feminist classroom assignments]]
- [[In search of artificial intelligence (AI) literacy in teacher education- A scoping review]]
- [[Mitigating trust-induced inappropriate reliance on AI assistance]]
- [[Diskriminierung durch Algorithmen – Überlegungen zur Stärkung KI-bezogener Kompetenzen]]
- [[Measuring user competence in using artificial intelligence- validity and reliability of artificial intelligence literacy scale]]
- [[Messung von AI Literacy – Empirische Evidenz und Implikationen]]
- [[Algorithms, artificial intelligence and discrimination (Wong_2020_Broadening_artificial_intellig)]]
- [[Transparency enhances positive perceptions of social artificial intelligence]]
- [[Promises and challenges of generative artificial intelligence for human learning]]
- [[Learning About AI- A Systematic Review of Reviews on AI Literacy]]

## Assessment-Divergenz

Von 25 bewerteten Papers: 9 Divergenzen (36%)

