What are the ethical concerns surrounding Generative AI?

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1. Misinformation & Deep fakes

  • Concern: AI can generate realistic text, images, audio, and video — which can be used to spread fake news, impersonate people, or manipulate public opinion.

  • Impact: Undermines trust in media, can sway elections, and lead to scams or harassment.

2. Intellectual Property & Copyright

  • Concern: Generative AI can mimic styles or recreate copyrighted content.

  • Impact: Raises questions about who owns AI-generated work and whether training data infringes on creators’ rights.

3. Bias & Fairness

  • Concern: AI can replicate and amplify biases in its training data.

  • Impact: May lead to discrimination or unfair treatment in areas like hiring, lending, or law enforcement.

4. Privacy

  • Concern: AI models may memorize and regurgitate private information from their training data.

  • Impact: Risk of leaking sensitive info, especially in medical or personal contexts.

5. Job Displacement

  • Concern: As AI becomes more capable, it might replace human jobs — particularly in creative fields, customer service, and even coding.

  • Impact: Economic disruption, income inequality, and the need for reskilling workers.

6. Accountability & Transparency

  • Concern: It's often unclear how an AI system made a decision.

  • Impact: Difficult to audit or challenge outcomes, especially in critical systems (e.g., healthcare or justice).

7. Dependency & Dehumanization

  • Concern: Over-reliance on AI can reduce human agency or meaningful interactions.

  • Impact: Could affect mental health, relationships, or societal structures.

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