AI and Creative Process

Permanent URI for this collectionhttps://hdl.handle.net/10125/112396

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Now showing 1 - 8 of 8

Counting Species of Ideas: A Bayesian Capture–Recapture Ecology Framework for Estimating LLM Novelty
(2026-01-06) Liu, Shujie; Lee, Dokyun; Kong, Xiangwei
Large Language Models (LLMs) are increasingly used for ideation tasks across domains, ranging from product development to marketing and creative writing. Yet, we lack principled methods to quantify their genuine capacity for novelty and ideation. LLMs derive their generative potential from extensive training data, model architectures, and optimization objectives. These factors collectively define a large yet bounded ideation space. However, standard evaluation methods—typically centered around output-level novelty or diversity—only capture a limited view of this broader ideation landscape. To overcome this limitation, we propose shifting the evaluation focus from isolated outputs to this underlying ideation space. Effectively exploring this space involves answering foundational questions: How expansive is this space? How many unique ideas can the model potentially generate? By adapting capture-recapture (CR) theory from ecology, we introduce an estimation framework tailored to the generative behavior of LLMs and infer the unseen idea space beyond observed samples. Validation through asymptotic extrapolation confirms the reliability of our framework, which offers a principled approach to understanding and comparing the innovation capacities of LLMs.
Synthetic Faces in a Real Industry: How AI-Generated Deepfakes Challenge Actors’ Ownership of Likeness in the Film & TV Industry?
(2026-01-06) Mukherjee, Debnisha; Gao, Yuting
Deepfake technologies are transforming screen industries by enabling realistic simulations of human performance. This study investigates how AI-generated deepfake audio and videos challenge actors’ ownership of their likeness, focusing on underrepresented perspectives from South Asia. While existing scholarship centres on celebrity cases or Western legal frameworks, this research draws on sixteen semi-structured interviews with actors in India, Pakistan, and Bangladesh. Using grounded theory analysis, it explores how synthetic replication endangers legal and economic rights, artistic integrity, consent, and emotional agency. Participants described exploitative contracts, loss of control over digital identity, and rising precarity, especially among lesser-known performers. Despite limited institutional support, actors expressed emerging forms of resistance and belief in the emotional depth and presence that only human performers can offer. By centring marginalised voices in AI discourse, this study offers a more grounded, ethically informed understanding of how synthetic media is reshaping labour and identity in film and television.
The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism
(2026-01-06) Wang, Sitong; Mckinnon-Crowley, Jocelyn; Long, Tao; Lua, Kian; Henderson, Keren; Crowston, Kevin; Nickerson, Jeff; Hansen, Mark; Chilton, Lydia
As AI becomes more capable, it is unclear how human creativity will remain essential in jobs that incorporate AI. We conducted a 14-week study of a student newsroom using an AI tool to convert web articles into social media videos. Most creators treated the tool as a creative springboard, not as a completion mechanism. They edited the AI outputs. The tool enabled the team to publish successful content that received over 500,000 views. Human creativity remained essential: after AI produced templated outputs, creators took ownership of the task, injecting their own creativity, especially when AI failed to create appropriate content. AI was initially seen as an authority, due to creators’ lack of experience, but they ultimately learned to assert their own authority.
Between the Spark and the System: On the Effects of AI on Ownership and Role Identity in Creative Work
(2026-01-06) Zwingmann, Nina; Pflanzer, Eva; Spann, Martin; Hess, Thomas
Advancements in artificial intelligence (AI) have enabled AI systems to take on increasingly active roles in creative work, ranging from supportive augmentation to full automation of creative output generation. This raises important questions about how such systems affect individuals’ role identity in their work. Drawing on Role Identity Theory (RIT), we propose that perceived ownership mediates the relationship between AI mode and role identity. We conducted an interaction- based online experiment (n = 400) in which participants completed a creative task supported by either an augmenting or automated AI system. The results show that augmentation (vs. automation) increases perceived ownership, which in turn enhances creative role identity. Our findings contribute to a better understanding of human-AI collaboration by highlighting the psychological mechanisms through which AI systems shape creative role identity.
The Confidence Cage: How Creative Self-Efficacy Hinders Gen AI-Augmented Ideation
(2026-01-06) Akben, Mustafa; Carignan, Jacob; Anyimah, Manuel
Drawing on Associative Theory and Threat-Rigidity Theory, we examine why generative AI's creative benefits are unevenly distributed. We argue that while AI can enhance creative performance by expanding associative ideation, this effect is weaker for individuals with high creative self-efficacy (CSE). AI can threaten the identity of people with high CSE (strong belief in their creative abilities), making them less able to integrate new ideas from AI and more cognitively rigid. In contrast, people with low CSE tend to feel less threatened, maintain their cognitive flexibility, and gain more from AI input. Our moderated mediation model is supported by the results of a pre- and post-test experiment (N=300), which demonstrates that AI support enhances creativity through improved ideation. For those with low CSE, this effect was more pronounced. These results reveal how a psychological strength can become a liability and suggest strategies to foster more effective human-AI collaborations.
AI as a Catalyst for Change in Creative Workflows
(2026-01-06) Tiwari, Siddhartha Paul; Grace, Lindsay; Pradhan, Harsh
The objective of this writing is to provide a comprehensive overview of how artificial intelligence is integrated across various creative workflows and to examine how collaboration between the human creator and AI systems can be strengthened. Authors have attempted and investigated examples of AI-driven innovation in creative workflows, and they have also analyzed the ways in which human skill sets and workflows are evolving as a result of AI-driven innovation. Taking a technical and analytical approach, the authors of this paper seek to demonstrate the synergistic relationship between human creativity and algorithmic intelligence, as well as the implications of this relationship for the future of creativity in industrial applications. The purpose of the paper is to highlight the fundamental shift from traditional creative processes towards hybrid human-computer systems which have the potential to expand the boundaries of artistic expression. This study presents insights from a focus group of 228 creative professionals in Singapore, examining generative AI's transformative impact on creative workflows. Findings highlight improvements in strategic planning, idea generation, and production efficiency
How is Generative AI Transforming Content Creation on Social Media? An Exploratory Perspective on Human-AI Interaction Processes, Potentials and Pitfalls
(2026-01-06) Stief, Jonathan; Kirchner-Krath, Jeanine; Morschheuser, Benedikt
Generative Artificial Intelligence (GenAI) presents a paradigm shift in social media content creation due to its unique ability to enhance media creation and aid in creative tasks. Creators have already put this into practice, and AI-augmented as well as AI-generated content is prevalent across platforms. However, the creators' perspective on how GenAI impacts social media content creation and its implications for the role of humans in the creation process remains poorly understood. Through 26 in-depth interviews, we employ an exploratory lens on human-GenAI interaction and its benefits and drawbacks in content creation. The results of thematic analysis shed light on the cooperative nature of human-GenAI interaction for ideation and the varying dynamics in the creation process, where the role of human creators changes from an executing force to verifying and controlling the actual media creation performed by GenAI.
Introduction to the Minitrack on AI and Creative Process
(2026-01-06) Grace, Lindsay; Koenitz , Hartmut; Jamieson, Peter

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