AI INTERACTION COMPETENCIES: FEEDBACK LITERACY AND LEGITIMATION CODE THEORY SEMANTICS

Jane Waite

Keywords: Legitimation code theory, Semantics dimension, semantic profiling, hybrid interaction systems, explanations, feedback literacy, AI, K-12

Short Summary: AI interaction competency is one set of competencies within AI literacy. A key aspect of AI interaction is that students should know about the different types of feedback that the AI system may produce and what role the person should, therefore, take to use this feedback effectively. Feedback literacy provides a starting point to develop curriculum materials for teaching and researching this. A second aspect of interaction is the structure of AI system-produced explanations and how the person in the interaction can review the quality and effectiveness of the explanation, to either prompt the system for a better-quality explanation or temper their use of it. The Semantic dimension of Legitimation Code Theory (LCT) is a mechanism that can be used for this explanation review.

Topic Area: AI and Data Science Competencies

Presenting Author: Jane Waite

Presentation Type: Short Presentation (ca. 20 min)

Submission Number: 6