Research Agenda
Fide AI studies how advanced AI systems can be evaluated, governed, and designed to remain trustworthy as their capabilities grow. Our work spans capabilities, agent alignment, evaluation, truthfulness, human agency, high-trust deployment, governance, work, and faith. We make the assumptions and worldviews behind each project explicit when they shape its framing or interpretation.
Themes & domains
Research themes describe what we investigate: capabilities, alignment, evidence, human agency, governance, and work. Domains describe the settings in which those questions arise. Faith and religious life has its own research hub. Future directions and selected external work are presented separately.
Areas of inquiry
Each area names a durable set of questions. Together they cover technical behavior, evaluation, human consequences, institutional decisions, and the questions that recur across application settings. Published studies and open research calls turn them into work that can be tested, criticized, and extended.
What new risks appear as systems become more capable and autonomous?
We measure behavior across long-horizon, autonomous, and high-consequence tasks, including failure modes that existing safeguards may not address.
Does an agent remain aligned while it plans, uses tools, and acts?
We study operational traces, policy adherence, drift, escalation, intervention, recovery, and privacy-aware assurance for agent systems in real workflows.
Read the agent assurance research call →Can the evidence support the decision people want to make?
We develop benchmarks, audits, red-team methods, reviewer protocols, and full-system evaluations that produce valid evidence about behavior and safeguards.
Will the system use the right source and represent it faithfully?
We test retrieval, citation, provenance, reference selection, honest uncertainty, and the path from an authoritative source to a final answer.
What judgment, habits, and relationships does AI use shape?
We study dependence, responsibility, attention, relational substitution, formation over time, and whether systems preserve meaningful human agency.
Which safeguards and authority structures should govern deployment?
We study how measured capabilities and risks should inform procurement, oversight, accountability, deployment decisions, and standards for responsible adoption.
How does advanced AI change useful work and human contribution?
We study economic participation, professional responsibility, technological displacement, access to AI benefits, and the meaning people attach to work.
Application domains
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Read completed studies, inspect open questions, or contribute to a defined project.