====== 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.

===== 🔎 Related Topics =====

  * [[AI:AI900:fundamentals:what_is_ai|What is AI?]]
  * [[AI:AI900:azure_services:cognitive_services|Cognitive Services]]