Law · AI · Faith

Research

Emmanuel works at the intersection of law, applied AI, and faith. His background runs from electrical engineering through legal practice to the design and deployment of AI systems in professional and pastoral settings.

His research interests centre on algorithmic governance and design ethics: how AI systems should be built, tested, and deployed responsibly, especially within faith-based and values-driven communities.

He calls the guiding idea interpretive humility. It’s the idea that AI can surface patterns, offer language, and speed up the work of reflection, but the final act of understanding, especially in matters of faith, conscience, or personal history, has to stay human.

This isn’t a rejection of the technology. Emmanuel builds with it. It’s an argument for keeping people responsible for the judgements AI can’t make on their behalf.

Publications

A paper is in progress for the journal Religions. This section will be updated once it’s published.