Can you teach a robot how to love?
Blending Artificial Intelligence, human intuition and everything that gets lost in translation, this artwork invites you to take the perspective of another form of intelligence, to reflect on the peculiarities of our own.
Part modern-day tamagotchi, part interactive fiction, Looking for Love is a playful experience that takes place over a message-based dating app. Surely training the machine on everything the internet knows about love will result in unparalleled romantic success? In your role as a wing-(hu)man, you’ll provide advice, encouragement and be that vital shoulder to cry on when things don’t work out…
Help the machine distil the essence of romance from movies, poems and song lyrics; compare your definitions of love; and determine how much of a role you want data to play in your own love life.
As you experience the piece, which, it it’s interplay between the digital and the human, again and again asks you to “prove you are not a robot” by clicking on images in squares, you reflect on where the boundaries between human and robot, between reality and simulation really are. Sometimes they are stark and sometimes they seem to dissolve…
Dan Barnard, Rachel Briscoe & Joe McAlister – Creators
Diana Monova – UI Design
Guy J Sanders – Image Design
Fast Familiar are a team of British digital artists.
Fast Familiar were selected for Aesthetica Art Prize Anthology: Future Now – 100 contemporary artists of 2020.
Social Sandwich was selected for the prestigious international MediaFutures programme, which supports innovative artists working with technology to critique its impact on individuals and society.
Fast Familiar were selected to be part of the EU VERTIGO STARTS project; our residency resulted in Smoking Gun, which was chosen by the Financial Times as one of their ‘Top ten dramas to enjoy at home’ during the first COVID-19 lockdown.
The Justice Syndicate was longlisted for the Lumen Prize, and received multiple star reviews.
The Acquisitions Panel received a Jury Special Mention in the Alternate Realities category at Sheffield DocFest 2022, and the Activist Museum Award.
Do What You Must was invited to be part of the official cultural programme in the Green Zone at COP26.
The Evidence Chamber, played online by participants from over 20 countries, was featured by the New York Times as “an especially successful way for theater to be enjoyed from a laptop” and shortlisted for a Times Higher Education Award.
Website
fastfamiliar.com
Instagram
www.instagram.com/fastfamiliarstudio
Can you teach a robot how to love?
Blending Artificial Intelligence, human intuition and everything that gets lost in translation, this artwork invites you to take the perspective of another form of intelligence, to reflect on the peculiarities of our own.
Part modern-day tamagotchi, part interactive fiction, Looking for Love is a playful experience that takes place over a message-based dating app. Surely training the machine on everything the internet knows about love will result in unparalleled romantic success? In your role as a wing-(hu)man, you’ll provide advice, encouragement and be that vital shoulder to cry on when things don’t work out…
Help the machine distil the essence of romance from movies, poems and song lyrics; compare your definitions of love; and determine how much of a role you want data to play in your own love life.
As you experience the piece, which, it it’s interplay between the digital and the human, again and again asks you to “prove you are not a robot” by clicking on images in squares, you reflect on where the boundaries between human and robot, between reality and simulation really are. Sometimes they are stark and sometimes they seem to dissolve…
Dan Barnard, Rachel Briscoe & Joe McAlister – Creators
Diana Monova – UI Design
Guy J Sanders – Image Design
Fast Familiar are a team of British digital artists.
Fast Familiar were selected for Aesthetica Art Prize Anthology: Future Now – 100 contemporary artists of 2020.
Social Sandwich was selected for the prestigious international MediaFutures programme, which supports innovative artists working with technology to critique its impact on individuals and society.
Fast Familiar were selected to be part of the EU VERTIGO STARTS project; our residency resulted in Smoking Gun, which was chosen by the Financial Times as one of their ‘Top ten dramas to enjoy at home’ during the first COVID-19 lockdown.
The Justice Syndicate was longlisted for the Lumen Prize, and received multiple star reviews.
The Acquisitions Panel received a Jury Special Mention in the Alternate Realities category at Sheffield DocFest 2022, and the Activist Museum Award.
Do What You Must was invited to be part of the official cultural programme in the Green Zone at COP26.
The Evidence Chamber, played online by participants from over 20 countries, was featured by the New York Times as “an especially successful way for theater to be enjoyed from a laptop” and shortlisted for a Times Higher Education Award.
Website
fastfamiliar.com
Instagram
www.instagram.com/fastfamiliarstudio
