Legal Discrepancies and Expectations of Women: Abortion, Fetal Therapy, and NICU Care.

Over the past several decades in which access to abortion has become increasingly restricted, parents' autonomy in medical decision-making in the realms of fetal care and neonatal intensive care has expanded. Today, parents can decide against invasive medical interventions at gestational ages where abortions are forbidden, even in cases where neonates are expected to be seriously ill. Although a declared state interest in protecting the lives of fetuses and newborns contributes to justifications for restricting women's autonomy with regards to abortion, it does not fully explain this discrepancy.

Public Engagement through Inclusive Deliberation: The Human Genome International Commission and Citizens' Juries.

In this paper, I take seriously calls for public engagement in human genome editing decision-making by endorsing the convening of a "Citizens Jury" in conjunction with the International Commission on the Clinical Use of Human Germline Genome Editing's next summit scheduled for March 6-8, 2023. This institutional modification promises a more inclusive, deliberative, and impactful form of engagement than standard bioethics engagement opportunities, such as comment periods, by serving both normative and political purposes in the quest to offer moral guidance on gene editing. In examining evidence from the Australian Citizens' Jury on Genome Editing convened in 2021, I argue that Citizens' Juries should work in tandem with governing institutions to preserve the role of expertise while ensuring that the diverse views of the public are incorporated into their final reports as well.

What does it mean to engage the public in the response to covid-19?

and explain how governments and other authorities should respond to calls for public engagement in covid-19 response and recovery

Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?

We argue why interpretability should have primacy alongside empiricism for several reasons: first, if machine learning (ML) models are beginning to render some of the high-risk healthcare decisions instead of clinicians, these models pose a novel medicolegal and ethical frontier that is incompletely addressed by current methods of appraising medical interventions like pharmacological therapies; second, a number of judicial precedents underpinning medical liability and negligence are compromised when 'autonomous' ML recommendations are considered to be en par with human instruction in specific contexts; third, explainable algorithms may be more amenable to the ascertainment and minimisation of biases, with repercussions for racial equity as well as scientific reproducibility and generalisability. We conclude with some reasons for the ineludible importance of interpretability, such as the establishment of trust, in overcoming perhaps the most difficult challenge ML will face in a high-stakes environment like healthcare: professional and public acceptance.

Governance Choices of Genome Editing Patents.

There are a variety of governance mechanisms concerning the ownership and use of patents. These include government licenses, compulsory licenses, march-in rights for inventions created with federal funding, government use rights, enforcement restrictions, subject-matter restrictions, and a host of private governance regimes. Each has been discussed in various contexts by scholars and policymakers and some, in some degree, have been employed in different cases at different times.