Susan Kennedy

Ectogenesis technology would make it possible to support the complete gestational development of a human being outside the female body. Proponents argue that this technology offers a welcome opportunity to expand reproductive options for those unable or unwilling to gestate. However, by completely bypassing pregnancy, the use of ectogenesis prevents the formation of gestational family ties. Consequently, it has faced criticism for perpetuating a patriarchal view of the family that undermines the moral significance of gestation. The concern is that the introduction of this technology might result in the loss of reproductive autonomy for those who desire to experience pregnancy, as they face pressures to opt for ectogenesis instead. Existing accounts of family values define parents' rights to rear a child, but they fail to establish a right to gestate that can protect an individual's interest in bearing a child. To provide a more comprehensive account of family values, I argue that pregnancy involves a unique quality of intimacy and can make distinct contributions to one's flourishing. Based on this premise, I defend a fundamental moral right to gestate that can help safeguard the option of pregnancy for those who desire it. In conclusion, I consider how a prospective gestator need not provide optimal conditions for fetal development in the way that ectogenesis promises in order for their choice of pregnancy to be justified.

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies.

While artificial womb technology is currently being studied for the purpose of improving neonatal care, I contend that this technology ought to be pursued as a means to address the unprecedented rate of unintended pregnancies. But ectogenesis, alongside other emerging reproductive technologies, is problematic insofar as it threatens to disrupt the natural link between procreation and parenthood that is normally thought to generate rights and responsibilities for biological parents. I argue that there remains only one potentially viable account of parenthood: the voluntarist account, which construes parental rights as robust moral obligations that must be voluntarily undertaken. The problem is that this account mistakenly presumes a patriarchal divide between procreation and parenthood. I propose a reframing of procreation and parenthood from a feminist perspective that recognises gestational motherhood as involving robust moral obligations that ought to be voluntarily undertaken. If this were the case, all gestational mothers would be, by definition, willing mothers. To make this happen I argue that ectogenesis technology must be a widely available reproductive option.