Here are ten thought-provoking questions for your class discussion on Generative AI
Ethics and Bias:
- How can generative AI models unintentionally perpetuate bias, and what steps can we take to mitigate this?
- Should AI creators be held accountable for biased or harmful outputs generated by their models?
Creativity and Originality:
- Can AI truly be creative, or is it merely replicating patterns from existing data?
- What distinguishes a genuinely novel AI-generated artwork or story from something derivative?
Human-AI Collaboration:
- How can humans and AI collaborate effectively in creative endeavors, such as music composition or writing?
- What roles should each play to maximize synergy?
Limits of Generative AI:
- Are there inherent limits to what generative AI can achieve? If so, what are they?
- Can AI ever surpass human creativity?
Ownership and Attribution:
- Who owns the rights to AI-generated content? The creator, the model, or both?
- How do we attribute authorship when AI contributes significantly to a work?
Unintended Consequences:
- What unintended consequences might arise from widespread adoption of generative AI?
- How can we anticipate and address these?
Human Emotion in AI Art:
- Can AI evoke genuine emotional responses through art, music, or poetry?
- Is emotional impact a necessary criterion for successful AI-generated content?
Exploring AI’s “Black Box”:
- How can we demystify the decision-making process of generative AI models?
- Should we prioritize interpretability over performance?
AI and Creativity Enhancement:
- Can generative AI enhance human creativity by suggesting novel ideas or pushing boundaries?
- Or does it risk stifling originality by relying too heavily on existing patterns?
Future Implications:
- What societal shifts might occur as generative AI becomes more prevalent?
- How can we prepare for a world where AI-generated content is commonplace?
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