AI-Enhanced Cognitive and Identity Reconstruction: Revolutionizing Memory Repair and Personality Revival

Authors: Subhasis Kundu

DOI: https://doi.org/10.5281/zenodo.15086783

Short DOI: https://doi.org/g89tmz

Country: United States

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Abstract: This study examined the use of artificial intelligence (AI) to rebuild cognitive functions and identities, particularly focusing on restoring memories and reconstructing personalities for people suffering from neurodegenerative conditions, as well as potentially preserving the essence of those who have passed away. This research delves into AI techniques for reconstructing memory patterns, generating missing information, and recreating personality characteristics. Additionally, it considers the ethical concerns related to these technologies, such as privacy issues and obtaining informed consent, and explores the combination of AI-enhanced memory systems with brain-computer interfaces. The aim of this investigation was to offer a thorough examination of AI-enhanced cognitive reconstruction, its future potential, and the necessary ethical guidelines for responsible development and application.

Keywords: This study examined the use of artificial intelligence (AI) to rebuild cognitive functions and identities, particularly focusing on restoring memories and reconstructing personalities for people suffering from neurodegenerative conditions, as well as potentially preserving the essence of those who have passed away. This research delves into AI techniques for reconstructing memory patterns, generating missing information, and recreating personality characteristics. Additionally, it considers the ethical concerns related to these technologies, such as privacy issues and obtaining informed consent, and explores the combination of AI-enhanced memory systems with brain-computer interfaces. The aim of this investigation was to offer a thorough examination of AI-enhanced cognitive reconstruction, its future potential, and the necessary ethical guidelines for responsible development and application.

Paper Id: 232288

Published On: 2021-07-24

Published In: Volume 9, Issue 4, July-August 2021

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