Lei Gao / Research
Research & public outputs

Selected work

A curated record of publications, conference work and public pre-standardization / governance contributions. Entries are labelled so self-maintained research pages are not confused with adopted institutional positions.

Publication

Finance Research Letters

CEO digital background and corporate digitalization: the role of regional policy. Finance Research Letters, Volume 88 (2026), Article 109135.

Publisher record: DOI / ScienceDirect ↗

Conference

International System Dynamics Conference 2026

Algorithmic Friction and Yin-Yang Cybernetics: Reconstructing the Foundational Logic of System Dynamics in the Age of AI.

The official ISDC schedule lists Lei Gao with this presentation. Conference schedule ↗

FG-TIDA

Theme #16 — Operational Human Oversight Integration for Agentic AI Trust Systems

Public working proposal focused on intervention triggers, escalation, qualified human review, human override, suspension, evidence requirements and return-to-operation conditions in agentic AI trust systems.

Public working page identifies Lei Gao as proposer. This is an open working theme, not an adopted ITU Recommendation. Theme #16 ↗

FG-AI4SSC

FGAI4SSC-I-015 — Human Oversight in AI-enabled Smart Sustainable Cities

Formal input document submitted to ITU-T FG-AI4SSC, focused on operational human oversight in AI-enabled urban systems.

The public overview below is self-maintained. It is not an adopted ITU standard, Recommendation or formal ITU position. Public research overview ↗ · Official ITU cities / FG-AI4SSC context ↗

Research themes

Current research vocabulary

  • Operational Human Oversight
    Intervention triggers, escalation, qualified review, override, suspension, resumption and evidence.
  • Agentic AI Governance
    Delegation, bounded autonomy, trust lifecycles and accountability.
  • Smart Sustainable Cities
    Human authority, urban AI systems and auditability.
  • System Dynamics / Algorithmic Friction
    How governance points preserve judgment and accountability in automated systems.
Future public additions may include selected talks, conference records and de-identified applied outputs. Confidential client materials and raw enterprise data will not be published.