Laura Herman

Laura Herman leads AI research at Adobe, one of the world's largest creative software companies and a significant developer of AI-powered creative tools. Her work sits at the intersection of AI research and responsible AI practice within a company whose AI systems, including Adobe Firefly and the Sensei AI platform, are used by millions of creative professionals globally.

Herman is a researcher whose academic background combines social science and design. She completed doctoral work at the University of Oxford's Internet Institute, focusing on AI in the creative industries and how generative AI tools change the relationship between artists, audiences, and the underlying technology. That academic grounding shapes her current research agenda at Adobe: rather than treat AI for creators as a feature problem, she treats it as a problem of agency, attribution, and trust between creator communities and the platforms that shape their work.

Adobe's position in the AI landscape is distinctive. It is among the few major AI developers to have built and published Content Credentials, an open standard for provenance and attribution in AI-generated content, through the Content Authenticity Initiative (CAI). That initiative addresses directly the concern at the heart of Deception Destroys Trust. When AI generates content that could be mistaken for human-created work, transparency about its origin is an ethical requirement, and a provenance standard makes that transparency technical rather than discretionary.

Herman's research role positions her at the forefront of questions that the AI First Principles surface from a different angle. How should AI tools be designed to support creative agency rather than displace it? How should provenance and attribution function in AI-assisted creative workflows where the line between human and machine contribution is genuinely blurred? How can AI behavior be made legible to the artists and designers using it, rather than disappear into a black box? She has written and spoken on the social dynamics of generative AI in creator communities, on creator perceptions of AI training data practices, and on the design of provenance systems that respect both user autonomy and platform accountability.

Laura Herman's contribution to the AI First Principles movement is the creative AI research perspective at one of the highest-stakes applications of the principles. Adobe's AI tools are used by creative professionals who are acutely sensitive to questions of authenticity, attribution, and the legibility of AI involvement in their work.

Deception Destroys Trust is not abstract in Adobe's product context. It is the design principle that determines whether an AI-generated image declares its origin or is allowed to pass as human-made. Herman's work on responsible AI in creative tools represents the principles as applied to creative industries, where individual agency and authentic attribution are not just technical requirements but the foundation of professional and commercial relationships.