Ari
Melenciano
About
Ari Melenciano is a research artist who studies and designs conditions through which culture, perception, and intelligence become intelligible. Working across linguistic, computational, sensory, spatial, and social forms, she builds conceptual instruments that make difficult-to-perceive relations available for observation, experience, and intervention, with particular attention to how humans and computational systems affect one another.
Email ↗
(Info sheet)
Mediums &
Areas of Inquiry
Computational systems, technoculture, pedagogy, design, cybernetics, phenomenology, Black cultural archives, perception modulators.
Writing
Pelagñou: An Archipelagic Technoculture | on plurality and distributed knowledge
Presented through Rhizome and Mozilla Foundation
(2026)
Culture is the Cybernetics of Consciousness | on media and behavioral recursion
Originally presented as a keynote to Instrument
(2025)
Paradoxical Intelligence | on structures and origins of knowledge
Commissioned by the New School’s Vera List Center
(2023)
Computational Anthropology and Exploring Identity through Artificial Synthesis
(2022)
Notes on Omni-Specialized Design for Beautiful Futures | on alternative intelligences and structures quietly determining behavior
Presented through the Guild of Future Architects
(2020)
Radical Technoculture for Racial Equity | on the internet and computation as political apparatuses
Presented at NYU’s Black Portraitures V
(2019)
(extended list)
Vocabulary
Terms (Re)defined:
I use these terms to label practices and frameworks I utilize. These term names have a longer-standing history, and I have substantially redefined their applicability by considering them contemporarily, culturally, and technologically:
Computational Anthropology:
A reverse engineering of the machine’s gaze to study, investigate, and reveal human behavior.
Critical Imagination:
Engaging with advancing forms of technoculture through a recursive dynamic between criticality (ethics, bias, societal-implication) and imagination (playful, possibility, creativity).
Embodied Mathematics:
Recognizing bodily movements as patterned gesture that is culturally learned, and becomes subconscious computation. It is particularly witnessed in dance, sport, cadence, and body language.
Created Terms:
As concepts:
Incomputable Intelligence,
Pneumareal,
Créolucence,
Alloentity,
Archipelagic Technoculture
As titles of Work:
Cosmeage,
InnerCodex,
Pelagñou,
Symphosynthesis
Exhibition
/Performance
/Screening
Afrotectopia’s The Age of Black Metal at Montclaur State University Galleries
(Curator, Exhibiting Artist, Spatial Designer | 2025)
Armenia’s Pavilion at the
Venice Biennale in Architecture
Working Knowledge exhibition at The Bronx Museum of Art (Exhibiting artist | 2025)
Museum of Modern Art in NYC (Film screening debut with the Creativity Lab | 2025)
Future Forum at the Museum of the Future in Dubai (Panel moderator, guest speaker, and exhibiting artist | 2024)
Sundance Film Festival | New Frontier (Panelist | 2024)
The Studio Museum in Harlem (Performance Artist - exhibition activation | 2020)
(extended list)
Presentations
Panelist at The New School’s F(r)ictions symposium on AI (2026) (video) | on opacity, Incomputable Intelligence, Critical Imagination
Panelist at New York Public Library’s Conversation Series about AI
(2026)
Guest Lecture at Futuress (2025) | on engaging with advancing technoculture through Critical Imagination
Curator’s Tour at Montclair State University for The Age of Black Metal exhibition (2025) | on consciousness as a technology
Keynote at University of Oregon’s Art School (2025) | on the philosophies and processes behind art practice
Guest Lecture at MIT Media Lab’s Lunch Lecture Series (2024) | on using AI as a tool for artistic expression and societal inquiry
Panel at Sundance Film Festival (2024) | on counter-logics for AI’s progression
Guest Lecture at Parson’s School of Design’s Cloud Salon (2023) | On subconscious intellect, computational anthropology, and mythopoesis
(extended list)
Interviews/Features
Feature in Rhizome and Mozilla Foundation’s Counterstructural Commons Residency Report (2026)
Interview with The Creative Independent (2025) | on staying curious and being intentional
Profile in Impulse Magazine (2025) | On developing Cosmeage
Interview (2024) | On ancient African civilizations, spirituality, femininity, creativity, pedagogy
Interview (2023) | On AI, creativity, society, and perception with Raffi Krikorian, then CTO of Emerson Collective - current CTO of Mozilla
(extended list)
Awarded by
The Eames Institute’s Curious 100 (2025)
(extended list)
Residencies/Fellowships
Rhizome and Mozilla’s Counterstructural Commons Residency (2026)
Pioneer Works’ Working Artist Fellowship (2025)
University of Maryland’s Inaugural Arts for All Artist-in-Residence (2024)
New York University’s Tisch School of the Arts Inaugural Future Imagination Fund Fellow (2020)
Eyebeam’s Rapid Response Artist Fellow (2020)
(extended list)
Teaching
Creative Experiments with AI*
(UMD IMD, 2024)
Myth, Rituals, and Sound*
(Hunter IMA, 2023)
Transdisciplinary Design
(Parsons, 2023)
Generative AI and Photography*
(NYU DPI, 2022)
Sounds of a Revolution*
(Hunter IMA, 2021)
Afrotectopian Ecologies*
(NYU ITP, 2021)
Electrotecture*
(NYU ITP, 2020)
Designing Club Culture*
(NYU ITP, 2018-20)
*created and designed the course
(extended list)
FUI
[Software]
(2021)
Using an Arduino, an inertial measurement unit (IMU), and TensorFlow Lite for Microcontrollers, Melenciano developed a machine learning model capable of recognizing five distinct gestures, each mapped to animation and sound within a web-based experience.
FUI was created as part of a collection of Google Creative Lab experiments exploring the possibilities of machine learning on microcontrollers. By running inference locally on inexpensive, low-power hardware with limited memory and computing capacity, TensorFlow Lite for Microcontrollers demonstrated how embedded machine learning could operate without continuous cloud access or specialized computing infrastructure.
Created while Melenciano was a Creative Technologist at Google Creative Lab.
Launch the experiment and access the code.