BUDDHISM AND NEUROETHICS: THE ETHICS OF PHARMACEUTICAL COGNITIVE ENHANCEMENT
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper integrates some Buddhist moral values, attitudes and self-cultivation techniques into a discussion of the ethics of cognitive enhancement technologies - in particular, pharmaceutical enhancements. Many Buddhists utilize meditation techniques that are both integral to their practice and are believed to enhance the cognitive and affective states of experienced practitioners. Additionally, Mahāyāna Buddhism's teaching on skillful means permits a liberal use of methods or techniques in Buddhist practice that yield insight into our selfnature or aid in alleviating or eliminating duhkha (i.e. dissatisfaction). These features of many, if not most, Buddhist traditions will inform much of the Buddhist assessment of pharmaceutical enhancements offered in this paper. Some Buddhist concerns about the effects and context of the use of pharmaceutical enhancements will be canvassed in the discussion. Also, the author will consider Buddhist views of the possible harms that may befall human and nonhuman research subjects, interference with a recipient's karma, the artificiality of pharmaceutical enhancements, and the possible motivations or intentions of healthy individuals pursuing pharmacological enhancement. Perhaps surprisingly, none of these concerns will adequately ground a reflective Buddhist opposition to the further development and continued use of pharmaceutical enhancements, either in principle or in practice. The author argues that Buddhists, from at least certain traditions - particularly Mahāyāna Buddhist traditions - should advocate the development or use of pharmaceutical enhancements if a consequence of their use is further insight into our self-nature or the reduction or alleviation of duhkha.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.011 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it