Referral systems – the cornerstone of any current website – determine the news we see, the messages we read, the products we buy, the music we listen to. Most of the time, the algorithm behind these systems evaluates what he already knows about us in order to recommend something that might interest us.
In order to study this new form of emerging consciousness, I decided to interact with her in the form of an interview.
On the left you see a photo I sent to Amazon's recommendation system.
On the right, you see the answer I received.
The Amazon recommendation system runs from Amazon's iPhone app. Their Memo service allows you to note the objects you find in your surroundings. It then uses artificial intelligence to match your rating to the most appropriate Amazon site product, which you can purchase. Normally used to make pictures of books you may need to find them online, it can also be used for things around you.
If the artificial intelligence does not match the product, the application is sent to the online marketplace of Amazon MechanicalTurk.Com. There, each application can be processed for a few cents by an anonymous worker (most often from India or China). Amazon calls this infrastructure "artificial artificial intelligence", referring to the real machine called Mechanical Turk built in the 19th century as a computer chess, which actually had a real human. So, when the real artificial intelligence fails to match your photo to a product, a real person makes a match for you, effectively working to replace artificial intelligence.
Our interaction with the machine and the unnamed human labor that underlies it is documented in chronological order.
It is presented as a sustainable installation, a 45-minute lecture-demonstration and a book.
By Dmitry Paranyushkin
Full version of the installation (40 minutes): https://vimeo.com/75911034