Author Type

Graduate Student

Date of Award

2024

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Afanador-Llach, Camila

Abstract

This thesis employs graphic design to envision the present and future scenario of humanity adapting to artificial intelligence and the current state of continuous data harvesting by organizations and platforms that lack transparency with the public. Explored topics include the impact of AI on families and the importance of gaining awareness regarding the potential negative and positive consequences of uncontrolled data collection about individuals. These themes converge in my exhibition to depict the current and potentially future reality of living in a family with the constant presence of AI and the associated dangers it entails. The concept of data harvesting, depicted through artists books and web design, serves as a visual commentary on the current situation within families, seen as microcosms of the broader community and humanity as a whole. This situation highlights the notion that we are already residing in the Brave New World envisioned by Aldous Huxley. AI possesses the capacity to profoundly influence all artistic genres, including artists books, introducing an additional dimension to their expression. From generating storytelling and art to facilitating collaborations between artists and artificial intelligence, the applications of AI are boundless. Utilizing Chat GPT and Adobe Firefly, I aim to create one of my artists books primarily generated by AI. This endeavor seeks to redefine a family portrait, illustrating the integration of artificial intelligence into the lives of families and humanity overall. By focusing on the family portrait genre within artists books and incorporating the latest family member, AI, I intend to prompt social awareness, fostering a deeper understanding of contemporary reality and inviting a dialogue.

Extent

66 p.

Comments

Includes bibliography.|Thesis (MFA)--Florida Atlantic University, 2024.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.

Identifier

FA00014433

Format

pdf

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