Artificial Intelligence & Creativity: A Manifesto for Collaboration

2023/06/15 by Florent Vinchon, Todd Lubart, Sabrina Bartolotta +17 · 208 citations
Engineering · Medicine · Psychology · #Artificial Intelligence in Healthcare and Education #Artificial intelligence #Computational creativity #Computer science #Creativity #Creativity in Education and Neuroscience #Creativity technique #Economics #Engineering #Engineering ethics #Field (mathematics) #Generative grammar #Law #Manifesto #Political science #Productivity #Sociology

paper · pdf · doi:10.1002/jocb.597

published in The Journal of Creative Behavior 57(4), 472-484 (Wiley)

openalex publication_date 2023/06/15 · openalex created_date 2023/06/17 · openalex updated_date 2026/07/31

Abstract

ABSTRACT With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human–machine collaboration on creative tasks and proposes “fundamental laws of generative AI” to reinforce the responsible and ethical use of AI in the creativity field. Four scenarios are proposed and discussed: “Co‐Cre‐AI‐tion,” “Organic,” “Plagiarism 3.0,” and “Shut down,” each illustrating different possible futures based on the collaboration between humans and machines. In addition, we have incorporated an AI‐generated manifesto that also highlights important themes, ranging from accessibility and ethics to cultural sensitivity. The fundamental laws proposed aim to prevent AIs from generating harmful content and competing directly with humans. Creating labels and laws are also highlighted to ensure responsible use of AIs. The positive future of creativity and AI lies in a harmonious collaboration that can benefit everyone, potentially leading to a new level of creative productivity respecting ethical considerations and human values during the creative process.

Cited by

• Am I Still Creative? The Effect of Artificial Intelligence on Creative Self‐Beliefs
• Artificial Intelligence Assisted Creativity: Conceptualization, Instrument Development and Validation
• “Between the Lines”: Perceptions of Poetry With Authorship Attributed to Artificial Intelligence or Humans – A Comparative Analysis
• One Does Not Simply Meme Alone: Evaluating Co-Creativity Between LLMs and Humans in the Generation of Humor
• Think First, ChatGPT Later: Guiding Human–AI Collaboration for Learning Gains in Independent Human Creativity
• How Does Narrow AI Impact Human Creativity?
• Deep mutual learning: incentives and trust through collaborative integration of artificial intelligence into sustainability science
• Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
• Generative artificial intelligence in education: (what) are we thinking?
• Human autonomy with AI in the loop
• “AI's Not the Enemy, It's the Key” : Tilly Norwood and the Debate Over Personality Rights in the Entertainment Industry
• The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry
• Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
• Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders' power construal. [europepmc]
• Collaborative AI-enhanced digital mind-mapping as a tool for stimulating creative thinking in inclusive education for students with neurodevelopmental disorders. [europepmc]
• Digital Device Usage and Childhood Cognitive Development: Exploring Effects on Cognitive Abilities. [europepmc]
• GenAI Creativity in Narrative Tasks: Exploring New Forms of Creativity. [europepmc]
• The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching. [europepmc]
• Scoring German Alternate Uses Items Applying Large Language Models. [europepmc]
• The paradox of creativity in generative AI: high performance, human-like bias, and limited differential evaluation. [europepmc]
• Cyber-Creativity: A Decalogue of Research Challenges. [europepmc]
• AI-assisted design synthesis and human creativity in engineering education. [europepmc]

Related

• We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy
• Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration
• Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
• AI and the creative realm: A short review of current and future applications
• The societal and ethical relevance of computational creativity