This slide showcases AI creativity case studies, including DALL-E for visual art, AIVA for music composition, and GPT for text generation, all trained on human works. It also emphasizes human roles in prompt engineering and iterative refinement, while questioning if AI evokes true emotion without lived human experience.
Case Studies in AI Creativity
{ "features": [ { "icon": "🎨", "heading": "AI Visual Art", "description": "DALL-E creates stunning images from text prompts, trained on human-curated artworks and ideas." }, { "icon": "🎼", "heading": "AI Music Composition", "description": "AIVA generates symphonies mimicking masters, drawing from vast datasets of human compositions." }, { "icon": "📝", "heading": "AI Text Generation", "description": "GPT crafts stories and poems based on user prompts, emulating human narrative styles." }, { "icon": "👤", "heading": "Human Prompt Engineering", "description": "Users design precise inputs to steer AI towards specific creative visions and outcomes." }, { "icon": "🔄", "heading": "Iterative Human Refinement", "description": "Feedback loops allow humans to edit and enhance AI outputs for deeper resonance." }, { "icon": "❓", "heading": "Inherent Meaning?", "description": "Do these evoke true emotion without human lived experience and intentional depth?" } ] }
Speaker Notes
Examples: AI art, music, writing. Are they meaningful? Highlight human input's role in the process.