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Certificate of Authenticity
Danielle King
Artificial Self-Portrait: Reckless
NFT
Description

The ARTIFICIAL SELF-PORTRAIT series by Danielle King investigates the fallibility of memory, the duality of self, and the ways in which artificial intelligence may both jog and change our memories, resulting in a new type of self-portrait. Her source images are self-portraits taken more than 20 years ago using a manual camera, a tripod, and a timer. King's younger self is captured in moments of vulnerability and self-reflection, and the concept of multiple selves is explored through manipulating them with AI technology.

The fluctuation of memory is a significant theme in the series—memories are never objective, constantly subject to reinterpretation and change. King explores this concept by using AI to change her own images, resulting in multiple versions of herself that exist simultaneously.

ARTIFICIAL SELF PORTRAIT is part of the exhibition RECOLLECTION. AI AND MEMORY presented by EXPANDED.ART in collaboration with The NFT Gallery at their galleries in New York and London, 11 April – 13 May 2023.

19 artists explore the idea of further challenging the concreteness of human memory—personal or collective—through creative collaboration with AI.

Memories are nebulous. Scientific studies and phenomena such as "The Mandela Effect" have shown that humans rarely recall things in their unbiased exactitude. Artificial Intelligence already assists human memory in the form of predictive text and GPS navigation. One would surmise that there exists a role for AI when it comes to supplementing even more complex memory.

Details
Production year
2023
Object type
NFT
Edition
Edition of 3
Dimensions
2688 × 4032 px
Asset type
PNG
Minted on
Manifold Contract minted on Verisart
Blockchain
Ethereum
Contract address
Token ID
Certificate of Authenticity
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Verified issuer
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Physical link
Created by
Danielle King, 1978
Signed by
Certificate Signature
Issued by
EXPANDED.ART
Owned by
Private
History
Transferred
Apr 28 2023 20:39:30 UTC
Created
Apr 28 2023 20:39:05 UTC
Traits
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