Lecture-performance “I’m a Robot and I need Therapy” by Marina Orlova

Date, Time, Location: 19th January - 17:00 - 18:30 - IDlab Studio.  
Duration: approx. 55 min., followed by an aftertalk. 

Please register here

This performative lecture is part of a research project that brings together topics of Artificial Intelligence and mental health in the medium of performance. Crossing the ideas of neurodiversity and responsible AI, it is working with the absurd idea of a “mentally unstable AI” and its “therapeutic needs”. It deals with the questions of agency, subjectivity and power relations between humans and AI and draws a parallel with a field of psychiatry. 

This lecture is a preparation for a future performance piece and is touching upon three layers: using text generating neural network theatrically; ethical and philosophical aspects of AI technology; critical approach to a difficult topic of mental health domain, based on a personal experience. 

Marina Orlova(1987, Russia)is a choreographer, dance maker and performer with a background in sociology. She has been practiсing dance and performance since 2012 and has graduated from SNDO at the Academy of Theatre and Dance in Amsterdam in 2021. Her current artistic research works with topics of mental health and tech. For the last two years she has been creating a methodology of making dance performances with paradoxical bot-performers (based on her own identities) that break existing biases of AI technology: AI that is an immigrant artist, neurodivergent AI. Aesthetically she works with the genres of tragicomedy and absurdism. 

Collaborators: 
Biljana Radinoska - dramaturgy
Emilia Grzeczka - scenography, video
Nazar Rakhmanov - assistance, advise
Arieh Chrem - sound design
Gregory Dyachkov - prompt engineering
Artem Konevskikh - AI engineering 

Many thanks to: Ksenia Lukina, Paca Faraus, Raoni Saleh, Yves Regenas, Residency ON/OFF, Workspacebrussels.

This project is supported by the AFK (Amsterdam Fund for the Arts) and Stimuleringsfonds (Creative Industries NL).
This project is supported by IDlab

 

Supported by

Delen