This is a currently unmaintained archive of past work. To be updated someday, but not yet.


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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āœ‰ a@alexandertaylor.org


Most Likely to Succeed

AI/MLInstallationsPhysical Computing ()Games2021


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/MLInstallationsPhysical Computing ()2019Games


'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

Two Heartbeats

2018Physical Computing ()Experimental Design


'Two Heartbeats' uses readings from two heartbeat monitors -- placed on the index finger of two individuals -- to control the rhythm of a ferrofluid heartbeat. Collaboration with Jaz Affleck.



AirWeShare

InstallationsPhysical Computing ()Visual Communication2020

Photo credit: Nicolee Tsin. 

I worked as the core developer/technologist for the 'AirWeShare' interactive installation as part of the Climate and Cities collective. Commissioned by Hubbub, the piece was on public display for 2 weeks in Covent Garden, London. The piece used a system of balloons and spotlights to enable people to compare air quality in different parts of the city. More info. Press: BBC Radio London, The Evening Standard.

Blissify.io

2016AI/MLPhysical Computing ()Visual CommunicationExperimental DesignSpeculationApplications



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.