Creativity, Culture & Bias in the Age of AI
Context
- As AI becomes embedded in everyday creative workflows, questions of representation are no longer abstract; they’re operational
- From the data that trains our tools to the outputs we ship at scale, AI is shaping whose voices, faces, and stories are seen and amplified - or erased
In the spirit of “Daring to be Different”, the panel challenges teams to go beyond default norms
- By rethinking how AI is trained, deployed, and governed, Creative Ops teams can help create systems that reflect a broader, more diverse set of perspectives, without slowing down creative momentum
- By controlling how representation is reflected in AI-powered creative systems
- By going beyond surface-level ethics to make practical decisions on guardrails and the resolution of trade-offs that teams face when adopting AI at speed
Covering
- Where bias enters the creative AI pipeline: data, prompts, tooling, and governance
- The operational impact of ‘default’ representations in AI-generated creative
- Balancing speed, scale, and inclusion in AI-driven workflows
- The role of Creative Ops in setting standards, checks, and accountability
- Working with vendors and platforms: what to ask, what to challenge
Delivering
- A clearer understanding of how representation issues surface in AI-enabled creative work
- Practical questions to ask of tools, partners, and internal teams
- Early frameworks for building more inclusive AI workflows without slowing teams down
- A stronger point of view on Creative Ops’ responsibility in shaping ethical creative systems