Direito e medicina: desafios atuais epigenética e direito - inteligência artificial - telemedicina, humanismo e medicina
Bibliographic record
Abstract
Este estudo tem por objeto o exame de algumas inovações disruptivas na medicina, notadamente a epigenética, a inteligência artificial (IA) e a telemedicina, sob uma perspectiva humanista, justificada nas bases axiológicas do Direito. Fez-se um panorama dos principais avanços científico-tecnológicos no campo da medicina, e, sem descuidar da sua importância para a sociedade, procurou-se demonstrar como tais progressos podem se revelar perigosos para a preservação de dados pessoais e a garantias, como a intimidade e a privacidade. Por fim, diante da necessária incidência do Direito sobre as relações interpessoais e do papel centralizador da dignidade da pessoa humana, justificou-se o atributo da empatia nas relações médico-cliente como traço insubstituível ante qualquer mecanismo de inteligência artificial (IA) ou tecnológico.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".