Enterprise AI in the Cloud

20Governing Models for Bias and Ethics

In matters of truth and justice, there is no difference between large and small problems, for issues concerning the treatment of people are all the same.

—Albert Einstein

This chapter dives into governing models, explaining why they are more than just a regulatory concern and are an integral part of responsible AI. This chapter serves as your guide to deal with nuances such as ethics, addressing bias, ensuring fairness, and diving into making models explainable and interpretable (see Figure 20.1).

FIGURE 20.1: DEPLOY AND GOVERN MODELS: Govern models for bias and ethics

Whether you are implementing augmented AI for human review, managing artifacts, controlling costs, or setting up an entire AI governance framework, this chapter can guide you.

IMPORTANCE OF MODEL GOVERNANCE

You know that AI is a powerful technology, but ensuring that innovation happens responsibly is also essential. Consider these reasons why governance is critical:

• Ensuring that the models are deployed and governed ethically and responsibly and employed in a nondiscriminatory manner is critical for society.
• We need to ensure that the models protect data privacy and comply with various regulations such as HIPAA. GDPR, and CCPA.
• Models unintentionally perpetuate bias, and it's essential to conduct periodic audits and take corrective actions where needed.
• We need ...