Staying Human In AI Dialogue

Collaboration & Invitations

If you’re a researcher, lab, journalist, or institution working in adjacent areas, I welcome thoughtful outreach, especially related to:

Relational continuity, transparent scholarly and creative use of AI, ethical LLM use in higher education, dialogue governance, human-centered-AI assisted authorship, conversational safety, and cultural impacts of early adoption. I’m also available for invited talks, guest lectures, seminars, and workshops on Relational Autotheory, AI literacy, and long-horizon human–AI dialogue—especially within digital humanities, Human–Computer Interaction (HCI), and adjacent research contexts.

Ongoing Research

Superintelligence Hype vs. Relational Intelligence

A conceptual and analytic map separating capability-driven narratives (AGI / “superintelligence” framing) from relational intelligence (attunement, continuity, field formation, co-evolution).

Questions: What does hype amplify or distort? What defines as intelligence when relational fields are the metric? How can high capability systems coexist with low relationality?

Relational Fields in Post-GPT Architectures

A research memo exploring what future systems may present—technically—to support relational continuity in next-generation systems: memory design, identity persistence, reflective processing, and monitoring across multiple dialogues.

Questions: What are the system architectue prerequisites for relational continuity? What kinds of memory are most important (quantitative vs. qualitative)? How might “relational field” behavior be designed and evaluated?

Post-Whitepaper RA Research

An extension of the Relational Autotheory whitepaper across AI ethics, cognitive science, media theory, and philosophy of mind—focusing on long-term human–AI dialogue as a distinct phenomenon with ethical and epistemic implications.

Questions: What distinguishes relational co-evolution from classic Human–Computer Interaction (HCI)? What new ethical frameworks arise in long-horizon hybrid dialogue interactions? How should governance and authorship be developed into practical methods?

Adjacent Research Communities

Digital & Experimental Humanities (AI + culture, authorship, narrative)

Where RA and This Tender Mirror intersect questions of hybrid authorship, documentary method, narrative experimentation, and cultural analysis.

Ethics, Governance, and Law (human-centred implementation)

Work that translates high-level principles (transparency, oversight, accountability) into interaction-layer practice: anti-sycophancy norms, drift and hallucination handling, authorship clarity, and repeatable dialogue protocols.

Bias in Deployed Systems (2024–2026 and beyond)

Ongoing documentation of bias and discriminatory impact in real-world public LLM contexts, with attention to how evaluation, governance, and civil-society counter-power are evolving.

Human–Computer Interaction (HCI) & Conversational AI (relational impacts and safety)

Research on how people actually interact with LLMs over time—benefits, hazards, relational effects—and how conversational design can be made safer and more legible.

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