Ten Guidelines for Human-Centered AI Design

When designing AI products and services for a human-centric approach, here are ten guidelines to follow:

• 1. Align AI with human values

  Determine the objective function of AI through collaboration with humans to ensure it improves human values.

• 2. Ensure AI transparency

  Test various AI models and secure transparency of the models used.

• 3. Ensure data labelling quality

  Agree on data labelling early on and continuously audit it during development.

• 4. Engage with a diverse set of users early on

  Include a variety of groups from the beginning to the end of the project lifecycle.

• 5. Continue to learn human preferences

  Continuously collect data and use appropriate learning models for understanding human preferences.

• 6. Tune AI models with usability testing

  Improve AI models by observing how people interact with the products by collecting users’ feedback.

• 7. Co-learn from user feedback

  Regularly monitor user experiences and enable users to provide feedback.

• 8. Give humans more control in high-stakes scenarios

  Determine the extent of human involvement by considering AI’s uncertain extent of societal harm and liabilities.

• 9. Communicate AI capabilities and limits clearly

  Communicate what AI can and cannot do to set reasonable expectations.

• 10. Adhere to the original objectives of AI; otherwise, re-develop

  Clarify the initial AI purposes, develop a new AI model, or limit the use when the purpose changes.