SYSTEM-IRA


Interactive installation that exposes algorithmic bias through facial recognition, randomly accepting or rejecting users to illustrate how individuals are dehumanized in a data-driven, capitalist system.New Media Curation + Brand Identity         

3 Months
2019









Systemira is an interactive installation that confronts viewers with algorithmic bias. Users stand before a simulated facial recognition scanner, which generates a data visualization of their face on an LED screen. The software randomly accepts or rejects users, illustrating how individuals are reduced to data points and evaluated by a biased system shaped by capitalist values.



Process
The project began with extensive research into the challenges posed by AI automation, including data privacy and algorithmic bias. Recognizing the complexity of educating the public on these issues, we chose to focus specifically on algorithmic bias. Systemira's interactive nature emphasizes how algorithms can unfairly judge individuals based on unseen criteria, prompting viewers to question the fairness of such systems in real-world applications.



Solution
The installation engages viewers through a participatory experience, where they can see their data manipulated in real time. This fosters a connection between the audience and the artwork, enabling them to explore the implications of algorithmic bias in an approachable manner. By using interactive art, Systemira aims to educate and empower individuals to engage in discussions about AI's impact on society.



Impact
Systemira highlights the transformative power of interactive art in raising awareness about algorithmic bias. By encouraging viewers to reflect on their experiences and the systems that judge them, the installation fosters deeper engagement with the ethical implications of AI. Although the primary footage of the exhibit is lost, the project succeeded in generating intrigue and discussion around the topic, emphasizing the need for ongoing dialogue about AI and its societal effects.



How can we expose and raise awareness of algorithmic bias in facial recognition systems?





















Client
Srishti Live 2019

Sector
Interactive Art / AI Ethics

Discipline
Installation Art
Curatorial Practice
Interaction Design
Brand Identity
Software
Adobe Creative Suite
Figma
Processing

Project Team

Aswathi Tilak 
Tishya Maini

Role
Art Director
Curator