An ethical framework for AI projects integrates three main components:

1. Principles: These are foundational values such as fairness, transparency, accountability, and privacy. They provide the moral compass for AI design and deployment.
2. Processes: These are systematic procedures implemented throughout the AI lifecycle to ensure ethical considerations are actively addressed. Examples include impact assessments and stakeholder engagement.
3. Tools: These are practical instruments and methodologies that support the application of principles and processes, such as bias detection algorithms, explainable AI (XAI) techniques, and data governance policies. Collectively, these components ensure ethical considerations are embedded across all stages of an AI project, fostering responsible innovation.