[Online]AI-Mediated Genomic Selection, Ectogenesis, and Epigenetic Engineering: A Technological Convergence and Its Ethical Implications

AI-Mediated Genomic Selection, Ectogenesis, and Epigenetic Engineering: A Technological Convergence and Its Ethical Implications
ID:215 Submission ID:144 View Protection:ATTENDEE Updated Time:2025-12-30 20:36:20 Hits:356 Online

Start Time:2025-12-30 12:15 (Asia/Amman)

Duration:10min

Session:[S9] Track 5: Emerging Trends of AI/ML » [S9-1] Track 5: Emerging Trends of AI/ML

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Abstract
The aim of this paper is to establish that human gestation is far more than a passive incubation process, but rather it is a dynamic and intricate “maternal-fetal dialogue” mediated by hormonal, nutritional and sensory signals. These signals then serve as the foundational mechanism for prenatal programming and epigenetic adaptability. It is argued that a hypothetical Artificial Womb Technology (AWT), if designed as a static and merely optimal environment, would deprive the fetus of these essential developmental inputs. Such deprivation could induce “epigenetic misprogramming”, particularly in genes regulating stress responses, such as NR3C1, and brain plasticity, such as BDNF, leading to a catastrophic mismatch between an individual programmed for stability and the unpredictable nature of postnatal world. It will be contended that a functional AWT cannot exist in isolation. Its very feasibility hinges on resolving the challenges of dynamic programming. This paper will hypothesize a future AI-orchestrated convergence of three currently distinct yet synergistic technological domains. This convergence would not only provide a potential “intervention strategy” to address the mismatch, but also give rise to an entirely new reproductive paradigm.
Keywords
Speaker
Cristina Brasi
Psychologist Crimino FBA-LAB

Moscato Rosario
Chief Artificial Int

Submission Author
Cristina Brasi FBA-LAB
Rosario Moscato FBA-LAB
Beatrice Seccomandi FBA-LAB
Filippo Sanfilippo University of Agder
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