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AI-Mediated Genomic Selection, Ectogenesis, and Epigenetic Engineering: A Technological Convergence and Its Ethical Implications
ID:215 View protection:Participant Only Updated time:2025-12-30 20:36:20 Views:133 Online

Start Time:2025-12-30 12:15

Duration:10min

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

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
FBA-LAB

Moscato Rosario

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Important Dates
  • Conference date

    12-29

    2025

    -

    12-31

    2025

  • 12-30 2025

    Presentation submission deadline

  • 02-10 2026

    Draft paper submission deadline

  • 02-10 2026

    Registration deadline

Sponsored By

United Societies of Science

Organized By

扎尔卡大学

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