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.
Why Humans Are Still Needed in High-Risk Decisions
Safety and Ethics Come First
Key Point: Even if AI is fast and accurate, it should not make final decisions about life, human rights, or legal matters without human oversight.
Reason: AI cannot truly understand deep emotions, moral values, or the full impact of its decisions.
Example: Autonomous Vehicles and Moral Dilemmas
Case Study: In 2018, an Uber self-driving car did not notice a pedestrian in time, causing a fatal crash.
What Happened: The AI system struggled to identify the person crossing the road and did not react fast enough.
Human Role: There was a safety driver, but they were not actively watching. This shows the danger of relying too much on AI for crucial safety decisions.
Lesson: AI cannot handle moral dilemmas—like deciding who to protect in an unavoidable accident—without human judgment.
AI’s Limits with Human Emotions, Values, and Abilities
Emotional Engagement
Why It Matters: Some jobs need deep human interaction, like counseling, art therapy, or comforting someone in distress.
AI’s Role: AI can help by giving suggestions or information, but it cannot replace human empathy.
Cultural and Contextual Understanding
Key Point: Languages and cultures can be very complex. AI might misunderstand jokes, traditions, or context clues that humans easily understand.
Risk: If an AI misreads a cultural gesture or phrase, it can lead to big mistakes or offensive outcomes.
