Create a framework for AI that supports responsible practices and aligns with business needs

Developing a comprehensive responsible AI framework is essential. Here are some key considerations to align AI practices with business needs and promote responsible AI by design:

1. Human-Centered Design Approach:
- Prioritize user experience by designing features with clear disclosures and user control.
- Consider augmentation and assistance, suggesting multiple options when appropriate.
- Model potential adverse feedback early in the design process and iterate based on user feedback¹.

2. Metrics and Monitoring:
- Use multiple metrics to assess training and system performance.
- Consider feedback from user surveys, overall system performance, and false positive/negative rates across subgroups.
- Examine raw data to understand biases and ensure representativeness¹.

3. Transparency and Trust:
- Develop a governance framework that includes principles, policies, and controls.
- Address risks related to fairness, interpretability, privacy, and safety.
- Engage with diverse users and use-case scenarios to build trust³.

4. Education and Culture:
- Provide training on responsible AI practices.
- Foster a culture of ethical AI within the organization