Competences
AILit Framework
- E1Recognise AI’s role and influence in different contexts.
- E2Describe how AI systems perform tasks using language that addresses and clarifies common misconceptions.
- E3Evaluate whether AI outputs should be accepted, revised or rejected.
- E4Examine how predictive AI systems provide recommendations that can inform or limit perspectives.
- E5Compare how AI systems consume energy and natural resources.
- E6Explain how AI could be used to amplify societal biases.
- E7Analyse how well the use of an AI system aligns with ethical principles and human values.
- C1Use AI systems to explore new perspectives and approaches that build upon original ideas.
- C2Visualise, prototype and combine ideas using different types of AI systems.
- C3Direct generative AI systems to elicit feedback, refine results and support reflection.
- C4Analyse how AI can safeguard or violate content authenticity and intellectual property.
- M1Decide whether to use AI systems based on the nature of the task.
- M2Choose an appropriate AI approach for a task by comparing how different AI systems operate and what they are best suited to do.
- M3Decompose a problem to determine when and how AI systems should be used to automate or augment tasks.
- M4Monitor and evaluate AI use throughout a problem-solving process.
- S1Investigate how an AI system is intended to work, whom it is designed for and what its limitations are.
- S2Evaluate AI systems using defined criteria, expected outcomes, test cases and user feedback.
- S3Design AI systems with attention to how data sources, selection and information flow influence behaviour and outputs.
- S4Improve AI systems to address and promote human well-being and societal benefit.