Research Synthesis

Accountable AI for Biosensing

GNSRL Biosensing Domain
22 Jul 2026 · Open accessAI and Biosensing
ABSTRACT
How biosignals can support useful inference without weakening consent or accountability.

Keywords

HealthConsent

Introduction

Emerging intelligent systems increasingly shape how people understand information, make decisions and participate in society. This work examines those changes through a human centred and interdisciplinary research lens.

Methods

The study connects evidence from neuroscience, technology, psychology, law and ethics. It considers not only what a system can do, but how its use affects autonomy, wellbeing, trust and accountable decision making.

Results

Responsible innovation requires clear purpose, proportionate data use, meaningful consent and governance that remains visible throughout the research lifecycle.

Discussion

The findings support systems designed around human agency, scientific integrity and public value.

PUBLICATION RECORD

Read, cite or download this publication.

GNSRL Biosensing Domain. Accountable AI for Biosensing. GenNeuroSociety Research Lab.

Bring your question.
Build what comes next.

Join GNSRLPartner with usExplore publications