Skip to content

Author

Kian Tik Go

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#generative ai Open access Aug 2026

MANUSAKSI-AI v1.1 A Human-Authenticated Framework for Documenting Human–AI Interaction, Emergent Experience, and Human–AI Lexicon

Generative Artificial Intelligence is increasingly becoming part of human thinking, writing, research, creativity, decision-making, and everyday conversation. This development creates a methodological problem for documenting Human-AI interaction: how can a human experience involving AI be recorded without allowing AI-generated language to become confused with human testimony, observed events, or historical fact? This working paper introduces MANUSAKSI-AI, a human-authenticated framework for documenting Human-AI interaction events, their provenance, interpretation, and emergent terminology. The framework is based on a simple epistemic distinction: AI may generate language; Human authenticates experience. MANUSAKSI-AI identifies the Human as the Human Principal / Human Witness and the AI as an AI Agent / Interpreter. AI may analyze, interpret, hypothesize, organize, and narrate. However, the authority to authenticate whether a lived human experience actually occurred remains with the Human Principal. The framework introduces an evidence hierarchy, provenance architecture, Human Authentication Gate, event-record schema, anti-hallucination rules, and the "(it happened)" principle. The latter is proposed as a provenance marker for narratives grounded in documented Human-AI encounters and validated by the human participant. The paper also proposes the Kamus Manusaksi-AI, a living lexicon documenting vocabulary emerging from Human-AI relations. The first documented term in the present research trajectory is "Manusaksi-AI", a neologistic formation derived from manusia (human), saksi (witness), and AI. Its conceptual formulation emerged through a documented Human-AI conversation on 29 August 2026. Version 1.1 Update Note: This version introduces formal academic compliance updates, including the inclusion of a comprehensive reference list for the intellectual lenses mentioned in the framework, and the addition of specific ethical, funding, and conflict-of-interest declarations required for journal submission and public release. This Version 1.1 is released as an evolving research artifact. It is intended for documentation, replication, critique, refinement, and subsequent empirical testing rather than as a finalized scientific standard.

Kian Tik Go · 0 citations
#generative ai Open access Aug 2026

MANUSAKSI-AI v1.1 A Human-Authenticated Framework for Documenting Human–AI Interaction, Emergent Experience, and Human–AI Lexicon

Generative Artificial Intelligence is increasingly becoming part of human thinking, writing, research, creativity, decision-making, and everyday conversation. This development creates a methodological problem for documenting Human-AI interaction: how can a human experience involving AI be recorded without allowing AI-generated language to become confused with human testimony, observed events, or historical fact? This working paper introduces MANUSAKSI-AI, a human-authenticated framework for documenting Human-AI interaction events, their provenance, interpretation, and emergent terminology. The framework is based on a simple epistemic distinction: AI may generate language; Human authenticates experience. MANUSAKSI-AI identifies the Human as the Human Principal / Human Witness and the AI as an AI Agent / Interpreter. AI may analyze, interpret, hypothesize, organize, and narrate. However, the authority to authenticate whether a lived human experience actually occurred remains with the Human Principal. The framework introduces an evidence hierarchy, provenance architecture, Human Authentication Gate, event-record schema, anti-hallucination rules, and the "(it happened)" principle. The latter is proposed as a provenance marker for narratives grounded in documented Human-AI encounters and validated by the human participant. The paper also proposes the Kamus Manusaksi-AI, a living lexicon documenting vocabulary emerging from Human-AI relations. The first documented term in the present research trajectory is "Manusaksi-AI", a neologistic formation derived from manusia (human), saksi (witness), and AI. Its conceptual formulation emerged through a documented Human-AI conversation on 29 August 2026. Version 1.1 Update Note: This version introduces formal academic compliance updates, including the inclusion of a comprehensive reference list for the intellectual lenses mentioned in the framework, and the addition of specific ethical, funding, and conflict-of-interest declarations required for journal submission and public release. This Version 1.1 is released as an evolving research artifact. It is intended for documentation, replication, critique, refinement, and subsequent empirical testing rather than as a finalized scientific standard.

Kian Tik Go · 0 citations