Alexander Taylor

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London-based artist & creative technologist.

Personal projects collated here - for a portfolio of professional work please get in touch.

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✉ a@alexandertaylor.org


Most Likely to Succeed

AI/ML ()


Collaboration with Risa Puno for the BIAS exhibition at Science Gallery Dublin, made with the support of Accenture Labs and Science Gallery Dublin. Most Likely to Succeed is an interactive installation exploring bias, fairness and AI, in which your performance in a series of on-screen assessment challenges is used to determine the amount of time you are given to play a physical game. On show until Q1 2022.

(extract from video recording by Risa Puno)

2% Of Spaces You Could Possibly Encounter

AI/ML ()


'2% Of Spaces You Could Possibly Encounter' uses machine learning to classify a scene in real-time as visitors modify the layout of the space. Using MIT's Places database of 10 million images, a live feed is taken from the camera, ran through a neural network trained on the dataset, then filed into one of 365 spacial categories, ranging from amusement parks to operating theatres


[data, set]

AI/ML ()

‘[data, set]’ is an installation in which the smells, lighting conditions, audio and visuals within the environment monitor and respond to the moods of visitors to the space in real time, in order to gradually evolve into the most captivating exhibit possible.

Contentbot.net

AI/ML ()



Contentbot is a virtual AI participant in the online attention economy, relentlessly seeking out new content to engage with & share on a 24/7 basis. Tweets are occasionally constructed via rudimentary sentiment analysis. Watch it work in real time. Press: Gawker, Prosthetic Knowledge, Motherboard [Vice]

insecure_composition

AI/ML ()


'insecure_composition' (2015-2018) was an inefficient online artwork that automatically adjusted itself to become more alluring by evolving based on the duration of viewer visits.


Blissify.io

AI/ML ()



A satirical startup-style product exploring the idea of 'filter bubbles': Blissify is a functional browser extension for Google Chrome that uses emotion detection technology to automatically block the pages that are making the user unhappy. Featured on Fast Co. Design.