Carmen Ng
Technical University of Munich
Former breaking news journalist
AI East West
Hong Kong | Germany
I am a journalist-turned-responsible AI researcher, focusing on the human layers of AI by connecting technical methods and socio-cultural contexts.
My work spans auditing AI models for cross-cultural risks and failures (Technical University of Munich; FAccT, CHI), building frameworks for emerging AI challenges (Berkman Klein Center for Internet & Society, Harvard University), analyzing AI policy across jurisdictions (Center for AI & Digital Policy), and translating ethics guidelines into practice for organizations (Open Data Institute). My most recent work focuses on embodied and companion AI – social robots, biometric and affective systems – where model capabilities and deployment domains are converging faster than our methods to evaluate their impacts and risks.
What I explore:
Having lived across Asia and Europe in AI research (M.Sc., TUM), news media that shapes public agenda (Reuters News), and tech comms for industrial AI and energy systems (Siemens), the work I engage in is often cross-cultural and cross-domain:
between AI evaluation methods and their linguistic and contextual limits across global societies
between public narratives about AI ethics and the scientific evidence that should inform it
between research communities and the organizations navigating use case-level human-in-the-loop questions
What’s next:
Currently building AI East West, a voice-mapping collective on intercultural responsible AI, together with AI ethics researchers, artists, educators, and companion-AI developers.
We are currently developing a trilingual digital book with a Japanese university on “AI ethics through community stories” for public educational purposes, and are seeking interviewees — researchers and practitioners working on AI in education (early childhood to adolescence), companionship, history, and art, or non-AI professionals, e.g, teachers/educational psychologists, historians, writers, artists, users of companion AI witnessing or experiencing first-hand impacts. If this is you or you know someone suitable, please reach out at carmen.ng@tum.de or suggest a coffee chat here.
Selected publications & presentations
Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
Carmen Ng, Gjergji Kasneci
To appear in ACM FAccT 2026, Montreal, CanadaThe Responsible AI Forum 2026, Munich, Germany
Presenter of authored-ACM Preprint, Track: Generative AI, LLMs and Societal Value Alignment
Organised by Institute for Ethics in Artificial Intelligenceand supported by the European UnionDesigning for Disagreement:
Front-End Guardrails for Assistance Allocation in LLM-Enabled RobotsCarmen Ng
CHI 2026 Workshop: Ethics at the Front-End, Barcelona, SpainShould machines be allowed to 'read our minds'?
Uses and regulation of biometric techniques that attempt to infer mental statesConstanze M. Vidal Buastamante, Karolina Alama-Maruta, Carmen Ng, and Daniel D.L. Coppersmith
MIT Science Policy Review Vol. 3, 2022
Beyond research
Building community-driven dialogue for responsible AI
Founder of AI East West, surfacing responsible AI gaps and living voices across East and West through multilingual, community-oriented methods
Building educational resources for emerging AI challenges
As a 2021 Research Sprint Fellow, Berkman Klein Center for Internet & Society, Harvard University, I co-developed an interdisciplinary educational framework and open repository on digital self-determination and global AI governance
Operationalizing ethics inside organizations
Runs AI ethics workshops (English and Chinese) as Open Data Institute-Certified Data Ethics Professional & Facilitator
Mapping the global AI policy landscape
AI Policy Research Group Member (2024-2025), Center for AI & Digital Policy; Co-developed the AI & Democratic Values Index (80+ nations including the EU, China, Japan, and the US)