The programme studies AI not as an isolated technical object but as an institutional relation: a system that produces descriptions, recommendations, classifications, and decisions that others may treat as authoritative.
When AI participates in the production of identity, knowledge, and public decisions, legitimacy depends on more than performance. It depends on authorship, warrant, contestability, and the preservation of responsibility.
Each programme can stand independently, but the central concern remains the same: how computational authority changes the conditions under which persons and institutions may claim to know and act.
How AI-mediated systems alter self-understanding, life narratives, authenticity, and the distribution of authorship between people and computational systems.
How people and institutions should rely on AI outputs, allocate warranted trust, preserve uncertainty, and recognise reliability collapse.
Ethical constraints for systems that classify, rank, recommend, or decide in settings that affect rights, access, recognition, and opportunity.
Research grounded in practical experience with digital systems, information harm, online identity, privacy, reputation, and the difficulty of locating responsibility.
A wider philosophical programme on relational ontology, freedom as secure belonging, institutions, affect, and resistance to reductive social fusion.
A developing programme on responsibility in knowledge practices, scientific ethics, noosphere traditions, and the normative consequences of collective intellectual systems.
Clarify what the system claims to know, understand, predict, or decide before evaluating whether those claims are legitimate.
Identify what is owed to affected people: recognition, explanation, consent, review, refusal, appeal, and remedy.
Locate control and responsibility across providers, product teams, organisations, operators, and public authorities.
Use concrete digital systems, disputes, documents, and decision contexts to test philosophical abstractions against practice.
The aim is not to reject AI or to assign it a fictional moral personality. The aim is to specify the epistemic, ethical, and institutional conditions under which its use can remain legitimate—and to identify situations in which those conditions are absent.