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Designing Interactive Explainable AI Tools for Algorithmic Literacy and Transparency

Published: 01 July 2024 Publication History

Abstract

As artificial intelligence (AI) increasingly permeates everyday life, there is a growing need for public understanding of AI’s underlying principles. Existing educational interventions and explainable AI (XAI) tools cater mainly to children or adult experts. In this paper, we present three interactive web-based tools to foster AI learning among adults without technical backgrounds. Designed according to learning sciences and user-centered design principles, these tools simplify complex AI concepts like edge detection, confidence thresholds, and sensitivity, making AI more understandable for beginners and facilitating reflection on ethical issues. We present results from a mixed-methods evaluation of the tools with 42 participants. Results show heightened familiarity and confidence in AI concepts. Our qualitative analysis additionally reveals common interaction patterns amongst participants. This paper offers both a design contribution to the AI education and XAI communities and emergent interaction patterns to support the design of transparent and learner-centered AI for adult novices.

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cover image ACM Conferences
DIS '24: Proceedings of the 2024 ACM Designing Interactive Systems Conference
July 2024
3616 pages
ISBN:9798400705830
DOI:10.1145/3643834
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 July 2024

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Author Tags

  1. AI Literacy
  2. AI Transparency
  3. Cognitive Interaction
  4. Confidence Threshold
  5. Design Theory
  6. Edge Detection
  7. Explainable AI
  8. Interaction Design
  9. Sensitivity
  10. Technology-Mediated Learning
  11. User Research

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  • (2025)The power duo: unleashing cognitive potential through human-AI synergy in STEM and non-STEM educationFrontiers in Education10.3389/feduc.2025.153458210Online publication date: 5-Mar-2025

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