Main question
To what extent can AI-enabled productivity gains offset the economic and service-capacity effects of Japan's shrinking labor force through 2040?
Publication roadmap
From research directions to publishable papers.
The paper program covers four research directions: Japan 2040, physical systems, autonomous organizations and AI-guided longevity science. AI safety is a Foundation track supporting all four.
Publication roadmap · Proposed studies, not completed publications. Listed venues are possibilities, not submissions or acceptances.
RF-JP-001
Society & Systems · Infrastructure
Japan 2040: AI as infrastructure for a labor-constrained economy
Establish the macro problem and estimate where AI can offset labor-capacity decline.
Method
Sector-level labor-gap modeling, AI leverage matrix, scenarios, and a proposed AI Labor Offset Ratio.
Planned contribution
A measurable framework connecting demography, productivity, AI deployment, and national capacity.
Potential venues
Research Policy, Management Science, Information Systems Research, Technovation, or a Reasoning Frontier working paper first.
RF-JP-002
Society & Systems · Physical AI
Physical AI as Japan's industrial response to structural labor scarcity
Identify the physical tasks where AI and robotics can create measurable operating capacity.
Main question
Which Japanese economic activities are technically and economically suitable for physical-AI deployment between 2026 and 2040?
Method
Task decomposition, deployability scoring, technical architecture mapping, and robot ROI analysis.
Planned contribution
The Physical AI Deployability Index for ranking task families by feasibility, value, and risk.
Potential venues
RSS, ICRA, IROS, IEEE Robotics and Automation Letters, Advanced Robotics, or JSAI.
RF-JP-003
Society & Systems · Autonomous organizations
The autonomous SME: measuring the productivity potential of AI agents in Japan
Study how AI agents may extend the operating capacity of small and medium-sized firms.
Main question
Can AI agents materially increase the effective operating capacity of Japanese SMEs without proportional headcount growth?
Method
SME task taxonomy, agent suitability score, controlled experiments or survey data, and productivity modeling.
Planned contribution
An autonomous-SME maturity model and AI Agent Productivity Multiplier.
Potential venues
Information Systems Research, Management Science, Research Policy, Small Business Economics, or INFORMS Journal on Data Science.
RF-LIFE-001
Science · Cellular aging
AI-guided cellular rejuvenation: a global map of senescence, reprogramming, and longevity biotechnology
Open a disciplined life-sciences track rooted in public literature, public datasets, and safety-aware computational methods.
Main question
Which cellular-aging intervention classes are most ready for AI acceleration, and where are the gaps between computational promise and biological validation?
Method
Field recon, dataset mapping, institution mapping, method taxonomy, and risk/safety framework.
Planned contribution
A research atlas connecting senescence, iPS cell science, partial reprogramming, protein design, AlphaFold-style modeling, and public aging datasets.
Potential venues
Nature Aging perspective, npj Aging, Aging Cell, Frontiers in Aging, Rejuvenation Research, bioRxiv/arXiv working paper.
RF-SAFETY-001
Foundation · AI safety
AI safety measured through evaluation, not assumption
Measure how AI agents behave under controlled safety tests before they are trusted with operational work.
Main question
How can tool-using AI agents be evaluated and controlled so that consequential actions stay within approved limits, and how can that evidence be made reproducible?
Method
Adversarial and prompt-injection evaluation, checks against evaluation gaming, least-privilege agent architectures, independent action monitoring, and traceable safety-case records.
Planned contribution
A reproducible evaluation and control protocol for tool-using agents, published as a dated report with scope, methods, results and limitations.
Potential venues
NeurIPS (Datasets and Benchmarks), ICML, IEEE SaTML, ACM FAccT, the Technical AI Safety Conference (TAIS), or JSAI.
Status
Read the AI safety research direction
Active research track. No safety claims are made until a dated evaluation report is published.
Principles
Research principles
- Separate evidence from hypothesis.
- Use public datasets before making claims.
- Make methods reproducible.
- Quantify uncertainty and failure modes.
- Do not present biological speculation as treatment.
- Do not present market potential as investment advice.