What we talked about

Digital avatars and human–AI interaction
Avatars are more than an interface. They can trigger closeness, projection, and social expectations – raising the bar for transparency and system design.

Data privacy and consent by design
Avatar systems often touch identity-related signals such as voice, appearance, interaction patterns, or personal narratives. Responsible development starts with minimising data collection, defining clear purpose and retention rules, and ensuring consent is explicit.

Private individuals versus public figures
The interview also addressed how contexts differ when avatars represent private people versus public figures – and why governance and communication must be adapted accordingly.

A critical perspective on deployment
Not everything that is technically possible should be deployed without safeguards. Responsible AI requires boundaries, evaluation, and operational controls – especially in sensitive cultural and public contexts.

Why it matters for public-facing AI

As digital avatars move into museums, education, and public spaces, the key questions become practical: What data is processed, where does it run, who controls the outputs, and how do we prevent misuse? forward stud.io approaches avatar and AI systems with privacy-first architecture and a focus on traceable, responsible deployment.