Understanding ethical principles
The first category or perspective on responsible AI usage and development is that of ethical principles. From an ethics perspective AI implementation includes the following concepts:
- Require accountability for designers and implementers
- Exhibit inclusivity
- Ensure the output doesn’t cause harm
Let’s look at how those ethical considerations map to Microsoft’s principles.
Describe considerations for accountability
Microsoft's accountability principle in responsible AI development emphasizes the importance of transparency, fairness, and oversight throughout the AI development lifecycle. This principle underscores the need for individuals and organizations involved in designing and deploying AI systems to be accountable for the actions and decisions of these systems, particularly as they evolve toward greater autonomy.
To achieve accountability, Microsoft advocates for the establishment of internal review bodies within organizations...
