Christina Lu

Christina Lu

Doctoral Student

Student, Kellogg College

E: christina.lu@cs.ox.ac.uk

Themes:

• Human Centred Computing

Interests

evolutionary algorithms, AI-AI communication, online learning, multi-modal models, ecological models, embodied cognition, philosophy of computation

Biography

Christina Lu is an AI researcher, technologist, and artist working via technical proposals, philosophical implications, and narrative infrastructures. She is currently a doctoral student at the Univeristy of Oxford in Computer Science, within the Human-Centred AI group. She serves as an affiliate researcher at Antikythera, a thinktank for the speculative philosophy of computation hosted by the Berggruen Institute. Previously, she was a software engineer and sociotechnical researcher at Google DeepMind.

Her technical research interests lie in ameliorating the “ontological stasis” of existing machine learning models so that they are capable of open-ended evolution rather than crystallising the past. She draws analogies from evolutionary biology, information theory, and philosophy of technology to develop an artificial intelligence that contains multi-scale nested hierarchy, structural model plurality, and post-language model-to-model communication.

Her philosophical research interests lie in the relationships between information, noise, evolution, complexity, and computation. She co-develops Whole Earth Codec (birthed at Antikythera and iterated at Serpentine Arts Technologies, RadicalxChange, and PACT Zollverein), an ongoing speculative design-research project about a multi-modal, ecological foundation model which integrates the totality of the planet's information.

Christina's research at Oxford is funded by the Scholarship for Women in Computer Science from the department and the James B. Reynolds Scholarship for Foreign Study from Dartmouth. She has a BA in Computer Science and Studio Art from Dartmouth.

Selected Publications

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• The subtle language of exclusion

  Christina Lu and David Jurgens

  In Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH). Pages 79–91. Association for Computational Linguistics. July, 2022.

  Details about The subtle language of exclusion | BibTeX data for The subtle language of exclusion | DOI (10.18653/v1/2022.woah-1.8) | Link to The subtle language of exclusion

• Subverting machines‚ fluctuating identities: Re−learning human categorization

  Christina Lu‚ Jackie Kay and Kevin McKee

  In Proceedings of the 2022 ACM Conference on Fairness‚ Accountability‚ and Transparency. Pages 1005–1015. Association for Computing Machinery. 2022.

  Details about Subverting machines‚ fluctuating identities: Re−learning human categorization | BibTeX data for Subverting machines‚ fluctuating identities: Re−learning human categorization | DOI (10.1145/3531146.3533161) | Link to Subverting machines‚ fluctuating identities: Re−learning human categorization

Supervisor