8 papers
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance
Fardin Afdideh, Fernando Seoane, Farhad Abtahi
Post-training adaptation has become central to modern machine learning practice and includes techniques such as retraining, fine-tuning, parameter-efficient adaptation, alignment,…
Sixteen models, fewer than two voices: measuring ensemble dispersion where no answer is uniquely correct
Mario Vega-Barbas, Lidia Mora-Valenciano, Iván Pau +2
Sixteen language models drawn from ten families produced, on average, the semantic diversity of 1.69 distinct formulations of a psychotherapeutic case, against a single-model basel…
MEDLEY-BENCH: Benchmarking Behavioural Metacognition and Belief Revision Under Social Pressure in Large Language Models
Farhad Abtahi, Abdolamir Karbalaie, Eduardo Illueca-Fernandez +1
Most large language model benchmarks evaluate final-answer quality but reveal little about how models revise beliefs under disagreement or conflicting evidence. We introduce MEDLEY…
AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
Fardin Afdideh, Mehdi Astaraki, Fernando Seoane +1
Machine learning systems deployed in medical devices require governance frameworks that ensure safety while enabling continuous improvement. Regulatory bodies including the FDA and…
From Black Box to Glass Box: Cross-Model ASR Disagreement to Prioto Review in Ambient AI Scribe Documentation
Abdolamir Karbalaie, Fernando Seoane, Farhad Abtahi
Ambient AI "scribe" systems promise to reduce clinical documentation burden, but automatic speech recognition (ASR) errors can remain unnoticed without careful review, and high-qua…
Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
Farhad Abtahi, Fernando Seoane, Iván Pau +1
Healthcare AI systems face major vulnerabilities to data poisoning that current defenses and regulations cannot adequately address. We analyzed eight attack scenarios in four categ…