I work across AI governance, evaluative control, epistemic infrastructure, and philosophy of representation, examining how socio-technical systems represent, evaluate, govern, and revise the conditions of their own operation. My research focuses on delegated authority, epistemic agency, generativity, allocatable liability, and the institutional conditions under which knowledge-producing systems remain trustworthy.
I bring this work together with a Silicon Valley engineering background in high-performance analogue and mixed-signal systems, embedded systems, and software development. That experience gives my research a builder’s orientation: c…
I work across AI governance, evaluative control, epistemic infrastructure, and philosophy of representation, examining how socio-technical systems represent, evaluate, govern, and revise the conditions of their own operation. My research focuses on delegated authority, epistemic agency, generativity, allocatable liability, and the institutional conditions under which knowledge-producing systems remain trustworthy.
I bring this work together with a Silicon Valley engineering background in high-performance analogue and mixed-signal systems, embedded systems, and software development. That experience gives my research a builder’s orientation: concepts should clarify real systems, expose failure modes, and support better architectures of responsibility.
I develop frameworks including Objective-Layer AI, the Duck Criterion, evaluative control, and Representational Sealing Theory. Across these projects, I distinguish systems that merely maintain or optimise within given criteria from systems capable of revising evaluative standards under rupture. My work integrates fiduciary theory, epistemic psychology, philosophy of representation, systems engineering, and governance theory.
