Summary : Trustworthy Ai is crucial for business

Summary

AI trust is established on five pillars: fairness, robustness, privacy, explainability, and transparency, which ensure the integrity and reliability of AI systems.
Governance frameworks and the integration of technology, people, and best practices are essential for implementing Trustworthy AI across an organization.

Fairness:

The goal is to ensure that AI models are unbiased and do not systematically favor one group over another based on sensitive attributes like age, gender, and ethnicity.

Robustness:

AI models should perform well in exceptional conditions and continue to deliver accurate results over time, even when faced with changes in customer behavior or data drift.

Privacy:

It is essential to maintain control over the data and insights derived from AI models throughout the life cycle to comply with data protection rules.

Explainability:

The ability to explain the behavior of AI models, such as reasons for loan approval or rejection, is crucial for transparency and user trust.

Transparency:

Inspecting all aspects of AI models, including their development, data usage, algorithms, approval, and validation, is necessary for trustworthiness and accountability.