Helpful, Misleading or Confusing:
How Humans Perceive Fundamental Building
Blocks of Artificial Intelligence Explanations
Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol
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
- True
- False
- Can't say
- Don't know
Comprehension:
Income was the strongest factor in your loan application
- True
- False
- Can't say
- Don't know
Confidence:
How confident are you in your previous answer?
Comprehension:
Income was the strongest factor in your loan application
- True
- False
- Can't say
- 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