AI Literacy Quiz

What is the official name of the AI Literacy Framework developed as a joint initiative of the European Commission and the OECD?

• The Digital Competence Framework for Citizens (DigComp)

• AI Competency Framework for Teachers

• Empowering Learners for the Age of AI: An AI Literacy Framework for Primary and Secondary Education

• The AI4K12 5 Big Ideas in AI

Which core tenet of the AILit Framework reflects mindsets and dispositions such that learners approach AI with qualities like curiosity, adaptability, and responsibility?

• Knowledge

• Skills

• Attitudes

• Competences

The AILit Framework describes four domains of AI Literacy. Which domain involves intentionally choosing how AI can support human work by delegating structured tasks so humans can focus on areas requiring empathy and judgment?

• Engaging with AI

• Creating with AI

• Managing AI

• Designing AI

According to the AILit Framework, which competence is central to the "Engaging with AI" domain and requires learners to recognize that AI can generate misinformation or biased outputs?

• Describe how AI systems consume energy and natural resources.

• Explain how AI systems perform tasks using precise language.

• Evaluate whether AI outputs should be accepted, revised, or rejected.

• Collaborate with generative AI systems to elicit feedback.

The AILit Framework aligns with broader EU efforts, including responding to which 2024 EU legislation that requires both providers and deployers of AI systems to ensure their staff have an adequate level of AI literacy?

• DigComp 2.2

• PISA 2029 Assessment

• The EU AI Act (Regulation (EU) 2024/1689)

• The Digital Education Action Plan 2021-2027

Which term describes the machine-based system that, for explicit or implicit objectives, infers from its input how to generate outputs such as predictions, content, or decisions?

• General Purpose Textbot

• Graphics Processing Unit (GPU)

• AI system

• Neural Pruning

What is the definition of Artificial Narrow Intelligence (ANI)?

• AI that is still theoretical and would possess self-awareness

• AI that is capable of understanding, learning, and performing any human cognitive task

• AI that surpasses human cognitive abilities in every domain

• AI specialized in specific tasks, such as facial recognition or diagnosing medical images, lacking broader awareness

What key training concept involves adjusting the numerical links (or connection strengths) between units in a neural network to minimize prediction error?

• Prompt engineering

• Random initialization

• Weights

• Attention mechanism

What is the main difference between supervised learning and unsupervised learning in Machine Learning?

• Unsupervised learning always performs faster.

• Supervised learning requires less memory.

• Supervised learning learns from pre-labeled data; unsupervised learning analyzes unlabeled data to find patterns.

• Unsupervised learning is limited to numeric data.

Which hardware technology specialized in computing with large grids (matrices and vectors) of data became essential for accelerating Deep Neural Network training?

• Central Processing Units (CPUs)

• Solid State Drives (SSDs)

• Graphics Processing Units (GPUs)

• Motherboards