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Safe and Responsible Use?

AI is transforming education by enhancing learning through tools like chatbots, personalized platforms, and multimedia generators, moving beyond traditional classrooms. However, while these technologies offer convenience, they also present ethical risks such as copyright infringement, which this section addresses through real-world examples, checklists, and practical guidelines for responsible AI use.

Basic Concepts for Ethical AI Use?

Why is Ethical Use Important? Need for Self-Awareness and Habit Formation

Specific AI Tool Use Cases and Ethical Principles?

AI Generated Text AI Generated Multimedia Recommendation Algorithms

Using Checklists for Habitual Compliance

Quiz?

Check your understanding of applying AI Ethics

AI Safety and Regulation?

AI and Safety: What should We Know? Basic Principles of Data Protection and Privacy

Quiz

Human-Led AI Life cycle

Legal Accountability and Case Studies

Critical Analysis of AI Uses and Capabilities

Responsibilities for using and developing AI

Discussion about Human Responsibility and Human Rights

Will AI Replace Humans?

How AI and Automation Affects Our Minds

Practical Guide for Implementating AI Ethics for Everyone?

Project-Based Learning Continuous Monitoring and Feedback Role-Playing and Simulated Situations
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Common AI-Related Incidents

Common AI-Related Incidents

  1. Algorithmic Misjudgment

    • What It Means: Recommendation systems (like those suggesting videos or posts) can push extreme content if not monitored.
    • Example: A social media feed that repeatedly shows divisive political posts, making people more angry or fearful.

  2. Automation Failures

    • What It Means: When robots, drones, or self-driving cars rely too much on AI, a glitch or bug can cause accidents.
    • Example: An autonomous car’s software malfunctions and causes a crash.

Why This Matters

  • Fairness and Trust: If AI is biased, spreads inaccurate information, or compromises privacy, people lose trust in technology.
  • Safety: AI malfunctions—especially in physical devices or autonomous agents/robots—can harm people or property.
  • Responsibility: Knowing these risks helps us create safer AI, protect privacy, respect copyrights, and treat everyone fairly.

 

By recognizing these potential dangers, we can take steps—like careful testing, secure data handling, bias checks, proper oversight of AI agents or robots, and respecting intellectual property—to make AI safer and more reliable.

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