ALGORITHMIC
ALGORITHMIC
ALGORITHMIC
(Key) IDENTITY
(Key) IDENTITY
(Key) IDENTITY
Intentionally built as a patchwork of seemingly unrelated results, this wall has been designed to reflect the ways in which generative AI pulls disparate bits of information from vast datasets.
Intentionally built as a patchwork of seemingly unrelated results, this wall has been designed to reflect the ways in which generative AI pulls disparate bits of information from vast datasets.
Intentionally built as a patchwork of seemingly unrelated results, this wall has been designed to reflect the ways in which generative AI pulls disparate bits of information from vast datasets.
Eight subjects are displayed on the wall in green, with each having a column of generated results based on aspects of their demographics and data reports from Meta.
Within each category is a result displayed in purple. This result is the amalgamation of all the other results from that category, also called the “twin”.
Eight subjects are displayed on the wall in green, with each having a column of generated results based on aspects of their demographics and data reports from Meta.
The subjects identities are broken down into three categorical sections. At the top are their topics of engagement, followed by their tracked interests, and demographics at the bottom.
Directly next to the green image of each subject is a finalized “data twin,” being the generated result from combining the three categorical “twins.”
The subjects identities are broken down into three categorical sections. At the top are their topics of engagement, followed by their tracked interests, and demographics at the bottom.
Within each category is a result displayed in purple. This result is the amalgamation of all the other results from that category, also called the “twin”.
Eight subjects are displayed on the wall in green, with each having a column of generated results based on aspects of their demographics and data reports from Meta.
Within each category is a result displayed in purple. This result is the amalgamation of all the other results from that category, also called the “twin”.
Directly next to the green image of each subject is a finalized “data twin,” being the generated result from combining the three categorical “twins.”
The subjects identities are broken down into three categorical sections. At the top are their topics of engagement, followed by their tracked interests, and demographics at the bottom.
Directly next to the green image of each subject is a finalized “data twin,” being the generated result from combining the three categorical “twins.”
The results of each categorical section can be read from left to right, and top to bottom, in each of the subject’s columns.
The results of each categorical section can be read from left to right, and top to bottom, in each of the subject’s columns.
The results of each categorical section can be read from left to right, and top to bottom, in each of the subject’s columns.