TEAM-ELIZA

TEAM-ELIZA

The ELIZA Archaeology Project is a collaboration of scholars, programmers, philosophers and artists, with diverse interests and many different voices.

R ELIZA
W 1631.2
ELIZA NOT FOUND.
R 1631.2+.04
LISTF TEAM *
David M. Berry

David M. Berry

Professor of Digital Humanities, University of Sussex

Writes widely on philosophy and technology, particularly computation, software and algorithms; recent work addresses explainability, human understanding, and the history of the university. Co-discovered the original ELIZA source in the MIT archive.

Sarah Ciston

Sarah Ciston

Professor of Computational Thinking and Aesthetic Doing, Academy of Media Arts Cologne

Builds critical-creative tools to bring intersectional approaches to machine learning. Winner of the 2025 Ars Electronica STARTS Grand Prize. Author of A Critical Field Guide to Working with Machine Learning Datasets and founder of Code Collective.

Anthony C. Hay

Anthony C. Hay

Programmer (formerly Digital Research, Novell); BSc, Imperial College London

Wrote a near-perfect clone of the original MAD-SLIP ELIZA in C++, first from Weizenbaum’s 1966 paper, later corrected against the recovered MIT source. Untangled the “certain counting mechanism” behind ELIZA’s memory.

Mark C. Marino

Mark C. Marino

Professor of Writing, USC; Director, Humanities and Critical Code Studies (HaCCS) Lab

Scholar of electronic literature; author of Critical Code Studies (MIT Press) and co-author of 10 PRINT CHR$(205.5+RND(1)). Director of Communication for the Electronic Literature Organization.

Peter Millican

Peter Millican

Professor of Philosophy, Hertford College, Oxford

Founder of Oxford’s Computer Science and Philosophy degree (2012). Author of the Elizabeth chatbot (2000), built to engage humanities students with the mechanics of conversation.

Arthur I. Schwarz

Arthur I. Schwarz

Software developer and technical lead (aerospace, automotive); BS Physics, MS Computer Science

Developed gSlip, a public-domain implementation of SLIP, the list-processing library underpinning ELIZA. Interests include hashing algorithms and anomaly detection.

Jeff Shrager

Jeff Shrager

Adjunct Professor, Symbolic Systems, Stanford; Chief Scientist, Blue Dot Change

Self-described “aging Lisp hacker” who rediscovered Weizenbaum’s original MAD-SLIP ELIZA in the MIT archive in 2021. Curator of ELIZAgen.org; co-author of 100+ AI publications and co-founder of three biomedical AI startups.

Peggy Weil

Peggy Weil

Adjunct Assistant Professor, USC School of Cinematic Arts

Multidisciplinary artist and a member of the Architecture Machine Group (precursor to the MIT Media Lab) in the early 1980s. She created MrMind / The Blurring Test in 1998, one of the first net-art chatbots. Her work has been exhibited internationally and addresses our digital, sociopolitical and perceptual landscapes.

AFFILIATIONS
LISTF AFFIL *
W 1355.8
R 1355.8+.90
WITH THANKS
PRINT THANKS
W 1427.7

With thanks to guest contributor Walt Bilofsky, to critical friends Claire Carroll and Rebecca Roach, to the MIT Libraries and Distinctive Collections, to the Charles Babbage Institute, and to Rupert Lane, Tom Van Vleck and Jerry Saltzer for help understanding CTSS.

R 1427.7+.78