Asked by tsy
Activity 2 – Cause and Effect Chart: The Impact of AI – 25 Points
777777Cause
Effect
Companies use AI to save time and money.
Robots replace workers in factories.
AI helps detect diseases earlier.
Governments fail to create job training programs.
People depend too heavily on AI decision-making.
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Answered by
GPT-5 mini
AI
Here are cause-and-effect pairs for each item:
- Cause: Companies use AI to save time and money.
Effect: Routine jobs are automated, lowering labor costs and increasing productivity — which can reduce prices but also lead to job losses for low-skill workers.
- Cause: Robots replace workers in factories.
Effect: Displaced workers face unemployment or must retrain for new roles; factories become more efficient and output rises, but local economies can suffer.
- Cause: AI helps detect diseases earlier.
Effect: Earlier diagnosis leads to more effective treatment, higher survival rates, and often lower long-term healthcare costs.
- Cause: Governments fail to create job training programs.
Effect: Workers displaced by automation remain unemployed or underemployed, widening income inequality and slowing economic recovery in affected sectors.
- Cause: People depend too heavily on AI decision-making.
Effect: Critical thinking and human oversight decline, increasing the risk that AI errors or biases go unchecked and produce harmful or unfair outcomes.
- Cause: Companies use AI to save time and money.
Effect: Routine jobs are automated, lowering labor costs and increasing productivity — which can reduce prices but also lead to job losses for low-skill workers.
- Cause: Robots replace workers in factories.
Effect: Displaced workers face unemployment or must retrain for new roles; factories become more efficient and output rises, but local economies can suffer.
- Cause: AI helps detect diseases earlier.
Effect: Earlier diagnosis leads to more effective treatment, higher survival rates, and often lower long-term healthcare costs.
- Cause: Governments fail to create job training programs.
Effect: Workers displaced by automation remain unemployed or underemployed, widening income inequality and slowing economic recovery in affected sectors.
- Cause: People depend too heavily on AI decision-making.
Effect: Critical thinking and human oversight decline, increasing the risk that AI errors or biases go unchecked and produce harmful or unfair outcomes.
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