Initial Considerations

Value of AI

• Find the intersection of user needs & AI strengths
• Balance control & automation
• Assess automation vs. augmentation
• Align perceived and actual user value
• Account for situational stakes

Fairness

• Consider bias in the data collection and evaluation process
• Assess inclusivity
• Use data that applies to different groups of users
• Commit to fairness
• Match relevant social norms
• Mitigate social biases
• Ensure rater pool diversity

Privacy

• Is there a risk of inadvertently revealing user data? What would the consequence be?
• Protect personally identifiable information
• Understand when people want to maintain control
• Understand when people will give up control
• What limits exist around user consent for data use?
• Return control to the user
• Manage privacy and security
• Help people control their information
• Always secure people’s information
• Collect only the most essential information
• Be clear about why you need people’s information
• Consider withholding private or sensitive suggestions
• Provide global controls