Good parents would not fulfil their obligation to genetically enhance their unborn children
Bibliographic record
Abstract
The purpose of this paper is to unveil the incompleteness of John Harris' view that parents have a moral obligation to genetically enhance their unborn children. Specifically, here two main conclusions are proposed: (1) at present there exist insufficient empirical data for determining whether prenatal genetic enhancement (PGE) is a moral obligation on prospective parents. Although the purpose of PGE research would be to determine the extent to which PGE is safe and effective, the task of determining the veracity of Harris' premises is impossible to achieve without begging the question; we would be forced to assume the moral permissibility of PGE in order to generate the data that are required for determining its moral standing. So, given this empirical blindness, consequence-based normative frameworks like that of Harris cannot determine the moral standing of PGE, but merely push the question of the moral standing of PGE back a step, without offering any plausible and morally endorsable recourse for how to answer it; (2) even if PGE research were legal, which it is not, parents nevertheless have good reason not to consent to it for their children, especially as participants in the first wave(s) of such research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".