Charlotte Bird

Currently: Research @ Google Deep Mind


PhD candidate in Design Informatics, University of Edinburgh. Baillie Gifford Scholar at the Centre for Technomoral Futures. Currently based in the SF Bay Area. email me: charlotte.bird[@]ed.ac.uk



Education

  • Student Researcher, Google DeepMind
  • PhD Design Informatics, University of Edinburgh
  • Baillie Gifford Scholar (4yr)
  • MSc Computer Science (AI for image & video), Newcastle University
  • BA Literature, Newcastle University
  • Research: Semi-structured interviews (40+), usability studies, contextual inquiry, diary studies, longitudinal research, thematic analysis
  • Artifacts: Personas, journey maps, insight decks, design recommendations, policy reports
  • Technical: Python, SQL, R, Qualtrics, Figma, Miro, MAXQDA
  • AI expertise: 4 years studying AI adoption and trust; built AI tools; understand models technically

Collaborators

Adobe · BBC · Turing Institute · Ada Lovelace Institute · UK Government



Student Researcher, AIUX Team

Google DeepMind, London

Research role on creativity within the AIUX team.

Apr 2026 – Oct 2026

Research Assistant

Adobe & University of Edinburgh

Partnered with Adobe to study how creative professionals adopt AI tools. Longitudinal study with professional designers. Co-authored publications at DIS and CSCW 2026.

2024 – 2025

Research Assistant

BRAID Programme (BBC, Ada Lovelace Institute, AHRC)

Qualitative research on generative AI adoption across creative industries. Outcomes include exhibitions and comprehensive map of UK AI artistry. 20 interviews with AI artists.

2023 – 2024

Research Assistant

Ada Lovelace Institute & AHRC

Created a risk taxonomy for generative AI through structured review of 70+ sources. Identified 3 systematic gaps in existing frameworks. Published at AIES 2023 (200+ citations); research directly informed UK Government policy on AI regulation.

2023


CHI 2026 · From Blank Box to Creative Partner: Designing Ecological On-Ramps for First-Time AI Artists — C Bird, C Moruzzi, E Luger

CHI 2026 · Drawing the Drift: Visual Storytelling as Method for Human-AI Becoming-With — C Bird

DIS 2026 · Mapping Imaginaries: A Futures Workshop for Creative Practices with Generative AI — P Bagchi, C Moruzzi, C Bird et al.

CSCW 2026 · Exploring the Impact of AI-Powered Creativity Support Tools on Professional Creative Workflows — C Moruzzi, C Bird, L Herman

CHI 2025 · Diffraction, Creativity and AI: Towards New Methods for Design Research — C Bird

CHI 2024 · Artists and AI: Creative Interactions and Tensions — C Bird

CHI 2024 · Creativity, Ethics, User-Generated Content and AI — C Bird

AIES 2023 · Typology of Risks of Generative Text-to-Image Models — C Bird, E Ungless, A Kasirzadeh

Full list on Google Scholar

RESUME



c.bird@ed.ac.uk · fatebug.xyz · Google Scholar · LinkedIn