Key Principles of Responsible AI

Responsible AI principles

Responsible AI refers to the integration of key principles that ensure fairness, explainability, human-AI collaboration, privacy, and security in AI solution development.

These principles address the challenges associated with AI, such as bias, lack of interpretability, ethical concerns, and data privacy.

Let’s explore each principle and how it helps overcome these challenges.

Fairness

Fairness in AI aims to prevent bias and discrimination by ensuring that AI systems treat individuals and groups equitably.

Key aspects of fairness include:

• Bias detection and mitigation: Identify and address ...