Chris
Tegho



Chris is a multidisciplinary artist, creative technologist, and machine learning engineer and their work explores the interconnections between humans, technology, and the environment. Chris is inspired by ecological systems, queer experiences of belonging, and contemporary dance, and their previous work explored the ethical, emotional, and relational dimensions of AI and technology.

In their current practice, they are interested in challenging human-centric perspectives, embracing ecological interconnections, and celebrating the multiplicity of minds, perspectives, and ecosystems through playful and exploratory methods.

In addition to their artistic practice, Chris has developed advanced machine learning solutions for organizations like Forensic Architecture, with work exhibited at the De Young Museum. They have collaborated with artists like Zach Blas on immersive installations such as Cultus (Arebyte and Secession) and Profundior (Berlin Biennale, Hamburger Bahnhof), works which examine AI religiosity and interrogate the extractive data practices underlying AI's rapidly advancing emotional intelligence.

In their practice, they use sound, movement, material, generative models, 3D modeling, and computer vision.

Chris completed a Master's in Machine Learning at the University of Cambridge in August 2017.

ml research interests video language models — few shot learning — generative models — Bayesian modeling — computer vision: video understanding, video generation, object and movement detection

other interests contemporary dance — internal family systems 

residencies


Spreepark International Art Residency (2025), Berlin, Germany

Immersive Assembly Volume 4 (2024), Dreams and Echoes, Mediale, Oxford and York, UK 

work in progress and experiments


Infrastructures of AI — ongoing research and visual essay exploring Big Tech’s AI dominance through improvised Global South infrastructures.

Ecological Dialogues — ongoing research, workshop and work on movement, play and technology

contributions, artwork and commissions

 
When T-Rex Dreams of Mangoes and Figs with Jazmin Morris (2024) —showcase as part of the Immersive Assembly Vol. 4 and Adventures in Consciousness Season at the University of Oxford

CULTUS with Zach Blas (2023) — commissioned by Arebyte Gallery, London, UK, and Secession, Vienna, Austria

Profundior with Zach Blas (2023) — commissioned by Berlin Biennale for Contemporary Art, exhibited at Hamburger Bahnhof

576 Tears with Zach Blas (2022) — commissioned by UP Projects for “This is Public Space” series

Triple Chaser, with Forensic Architecture (2021)—exhibited at Uncanny Valley: Being human in the age of AI, at the de Young Museum in San Fransisco


Machines of Loving Grace, with DJ and producer Sonikku (2021) — music video for single release Lifestyle with Boilerroom TV
— audio reactive StyleGANs video generation

The Doors with Zach Blas (2020) — commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven

MELTS INTO LOVE with Xin (2020)— album cover

CAD Conspiracy: Pattern Recognition in Contemporary Art with Mahan Moalemi and Bahar Noorizadeh (2020)— commissioned by the Mosaic Rooms, London


publications


  1. D’Cruz, A., Tegho, C., Greaves, S., & Kermode L. (2022). Detecting Tear Gas Canisters With Limited Training Data. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 
    equal contribution

  2. Tegho, C., Budzianowski, P., & Gašić, M. (2018). Benchmarking Uncertainty Estimates With Deep Reinforcement Learning for Dialogue Policy Optimisation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

  3. Tegho, C., Budzianowski, P., & Gašić, M. (2017). Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation. Accepted at the Bayesian Deep Learning Workshop, 31st Conference on Neural Information Processing Systems (NeurIPS).

machine learning work


2022 - 2024
Unitary, London, UK
— Develop and deploy multimodal machine learning models and pipelines for detecting harmful content in videos, images and text


2017 - 2022
Calipsa, London, UK
— Design, implement and evaluate models and software prototypes for object detection and motion detection in videos


Chris Tegho —

Mark

576 Tears with Zach Blas

 

Photo Credits: Zach Blas

        Commissioned by UP Projects for “This is Public Space” series

576 Tears is an online experiential work that speculates on how an AI system imbued with godlike qualities might perceive and learn from the ritual of human emotional crying. Through an interactive website, audiences offer their own tears to train an imagined "AI god" on the symbolism and expressions embedded in weeping across religious, scientific, and cultural contexts.
       
For this work, I trained StyleGANs on images of tears to produce videos for the interactive experience; and language models on writings on crying in religious, philosophical, scientific, cultural, and technical contexts to produce text and poetry communicated through the digital experience.






Mark