Image recognition

Hugging Chat | G2: Make clear how well a system can do what it can do 

Google Photos | G17: Provide global controls

Google Photos | G5: Match relevant social norms

SimCam | 2C: Report system performance information

Image recognition | 11F: Example-based explanations

Computer Vision | 11F: Example-based explanations

Google Photos | 9E: Batch-editing data

Google Photos | 9D: Do G9 through G15

Google Photos | 9A: Switch classification decisions

Gender Shades | 2C: Report system performance information

Pattern 15C: Reporting inappropriate content

Problem User feedback is needed to identify problematic or inappropriate system outputs. Solution Implement a user-feedback mechanism at each item or instance of system output, enabling the user to flag output that is problematic, wrong, offensive, biased, or otherwise inappropriate. Leverage user feedback to identify biased, offensive, or otherwise inappropriate system outputs. Use when How […]

Pattern 15B: Request explicit feedback on selected system outputs

Problem User feedback is needed to assess the system and help it improve over time. Solution Implement a user-feedback mechanism that occasionally asks the user to provide explicit feedback for selected items or instances of system outputs. The system initiates the feedback interaction. Leverage user feedback for: Use When How Decide what type of feedback […]