Machine Yearning is an experiment in envisioning alternative forms of Human-AI interaction that critically question the reduction of human identity by machine learning models -
            
from fluid and interpersonal
to static and essential.
Through a machine learning programme trained and taught on uncategorised data of human sounds, first-hand narratives, and shared feelings of yearning, the Yearning AI is a “useless” but “feeling”, emotionally resonant model. Designed to invite the user not to resolve queries but to create an iterative and reflective interaction for their everyday use of AI. 

The model embodied as a sculptural artefact - crafted from fibreglass plastic, is an imagined artefact of the future articulating the once absorbed yearnings through speech.













Methodologies & Methods

Human-AI Interaction >  Experience Design > Critical and Speculative Design > Machine Learning and Coding > Participatory Design > System Research > Ethical Data Practice


Collaborators

Code Consultant - Anushka Aggrawal
Sculpture Construction - Artisans based in Delhi, India


Tools and Mediums

New Media Experience >
Computational Art >
Python for custom AI development >
Adobe Suite & Procreate for Installation Design >
Garageband for Audio Prototyping










Machine Yearning, Graduate Showcase 2024, Royal College of Art, White City, UK.
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