“We publish white papers, toolkits, and policy insights to shape ethical AI innovation in creative industries.”
Five Research Streams
Our research agenda sits at the intersection of technology, culture, gender, and governance — producing actionable knowledge for practitioners, policymakers, and institutions.
Gender Equity in AI Entrepreneurship
Mapping barriers, opportunities, and systemic drivers of gender inclusion in AI-powered creative ventures — examining funding gaps, representation in leadership, and ecosystem-level interventions.
- ?What structural barriers prevent women from founding AI ventures?
- ?How do investment patterns reflect or reinforce gender bias?
- ?Which ecosystem interventions are most effective at closing the gap?
AI Authorship & Copyright in Audiovisual Production
Examining intellectual property frameworks for AI-generated and AI-assisted creative works as generative AI transforms filmmaking, music, and design.
- ?Who owns the copyright of AI-generated audiovisual content?
- ?How should co-authorship between humans and AI be defined legally?
- ?What policy reforms are needed to protect creative workers?
Bias Mitigation in Generative Media
Identifying and reducing systemic biases embedded in AI models used for media and creative production — analyzing training data and deployment contexts.
- ?How do generative models encode and reproduce cultural stereotypes?
- ?What audit methodologies detect bias in creative AI outputs?
- ?Which technical and policy interventions are most effective?
Human-Centered AI Design in Creative Workflows
Developing design principles that keep human creativity, agency, and wellbeing at the center of AI tools used by artists and creative professionals.
- ?How do AI tools change the creative process for audiovisual artists?
- ?What design principles best preserve human agency in AI-assisted workflows?
- ?How can AI tools enhance rather than replace creativity?
Responsible AI Governance Frameworks
Building institutional models for governing AI use in cultural and creative organizations — producing toolkits that creative organizations can implement immediately.
- ?What governance structures work best for AI adoption in creative institutions?
- ?How can smaller organizations implement ethical AI policies?
- ?How should creative organizations engage with EU AI Act compliance?
Our Research Methodology
Field Research
Interviews, ethnographies, and case studies with artists, entrepreneurs, and institutions at the AI-creativity frontier.
Data Analysis
Quantitative analysis of industry datasets, funding flows, representation metrics, and AI model outputs for bias detection.
Policy Review
Comparative analysis of international AI regulation, copyright law, and governance frameworks across key creative markets.
Co-Design
Participatory workshops with practitioners to co-develop toolkits, frameworks, and recommendations reflecting real-world needs.
Research Outputs
White Papers
In-depth research reports covering key issues at the intersection of AI, creative industries, gender, and governance.
Practical Toolkits
Step-by-step guides and frameworks that creative organizations can implement directly — translating research into practice.
Policy Briefs
Concise, evidence-based recommendations for policymakers, regulators, and cultural institutions navigating AI governance.
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