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 focus 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.
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Having lived across Asia and Europe in research, news media (Reuters News), and industry (tech comms for industry AI at Siemens), the work I engage in are often cross-cultural and cross-domain:

• between AI evaluation methods and their linguistic and contextual limits across global societies

• between public concern 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
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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 Japan-based university, and are seeking collaborators and interviewees — researchers, practitioners, industry, and users working on AI in education, companionship, history, and art. If this is you, please reach out at carmen.ng@tum.de.