Aimona

Phase one is a mobile, dynamic education distributed through Google Play and iOS App Store: an application modeled after the Tinder dating app to gather a corpus of data regarding human preferences in fine arts utilizing the open domain works of the Metropolitan Museum of Art. The data will feed the open source machine learning algorithm, currently used to predict user preferences in film and comics, to then allow Aimona to provide participants with recommendations of Art to be viewed.

Ultimately, the entire museum/gallery experience would be curated by Aimona such that as an individual entered the museum/gallery, each screen would recognize them and their preferences. They would be greeted with works selected for them, by their determined preferences based on Aimona’s careful, ongoing machine learning algorithms. Each person would see something different, something uniquely attuned to their taste.

But then what would this mean? It has been demonstrated that we ‘like’ what we see frequently. That we prefer what we are familiar with. If we only ever see what aligns with our original self-determined preferences, will there ever be any evolution? Will we wish to create? Will we all see the same thing — or will we even question whether what another person sees, would we ever be able to or even want to see it too? Will Aimona replace culture?