Helpful, Misleading or Confusing:
How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations

Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol
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Motivation: the Gap
  • Explainer advanced and complex
  • Explainees educational attainment, profession, literacy
  • Explainer advanced and complex
  • Explainees educational attainment, profession, literacy
  • Gap between design intention user perception
Measure the Gap:
3-C Evaluation Framework
  • Assess how users perceive AI explanations
  • Comprehension (Positive & Negative)
  • Confidence
  • Contentment
Quantify the Gap: User Study
  • Diverse participants
    • Numeracy, digital literacy, English proficiency, etc
  • Diverse participants
    • Numeracy, digital literacy, English proficiency, etc
  • Different types of explanations
    • Textual, visual, mathematical, interactive, etc
Explanation:
Your loan request was rejected because your income is $40,000
Comprehension:
Income was the strongest factor in your loan application
  1. True
  2. False

  3. Can't say
  4. Don't know
Comprehension:
Income was the strongest factor in your loan application
  1. True
  2. False

  3. Can't say
  4. Don't know
Confidence:
How confident are you in your previous answer?
Comprehension:
Income was the strongest factor in your loan application
  1. True
  2. False

  3. Can't say
  4. Don't know
Confidence:
How confident are you in your previous answer?
Contentment:
The explanation was easy to interpret
Close the Gap Together
  • 3-C Framework: assess individual difference in perceptions
  • Equally comprehensible and trustworthy explanations
  • AI for everyone
Thanks
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