Table of Contents
Responsible AI and Ethics
Responsible AI refers to the practice of designing, developing, and deploying artificial intelligence systems in ways that are ethical, transparent, and aligned with human values.
🌐 Why Responsible AI Matters
As AI becomes more integrated into society, it can have a profound impact—both positive and negative. Ensuring AI is used responsibly helps build trust, minimizes harm, and supports fairness in decision-making.
🏛 Microsoft’s Six Principles of Responsible AI
Microsoft outlines six key principles that guide responsible AI:
- Fairness
AI systems should treat all people fairly and avoid bias.
_Example: Avoiding discrimination in hiring algorithms._
- Reliability and Safety
AI should operate reliably and safely in all intended situations.
_Example: Ensuring medical AI tools give consistent results._
- Privacy and Security
AI must respect user privacy and protect data.
_Example: An AI chatbot shouldn't store personal information without consent._
- Inclusiveness
AI should empower everyone and be accessible to people with disabilities.
_Example: Speech-to-text for people with hearing impairments._
- Transparency
People should understand how AI makes decisions.
_Example: Explaining how a credit score was determined by an AI system._
- Accountability
Humans must be accountable for AI systems and their outcomes.
_Example: Companies must take responsibility for errors in autonomous driving software._
🧠 In the AI-900 Exam
You are expected to:
- Understand ethical considerations in AI design and use.
- Identify principles of responsible AI and apply them to scenarios.
- Recognize the importance of bias mitigation, transparency, and data governance.