Moonshot Goal 3 PD's policy
This document outlines the recruitment, selection policy, and R&D guidelines for Moonshot Goal 3, focusing on the realization of general-purpose autonomous humanoid AI robots by 2050. It details three research categories: Integrated Research, Specialized Research, and Elemental Research, along with their budgets, timelines, and 2030 targets. Additionally, it highlights requirements for project structures, task verification methods, portfolio management, and industry-academia-government collaboration.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, developers, and academic or corporate institutions applying for Moonshot Goal 3 research funding.
What the document contains
The document covers the framework, research categories, proposal requirements, evaluation criteria, and promotional guidelines for R&D projects under Moonshot Goal 3 regarding general-purpose autonomous humanoid AI robots.
The document does not provide binding legal regulations, formal enforcement mechanisms for non-compliance, or a detailed regulatory framework for commercial robot deployment outside of research funding criteria.
- Moonshot Goal 3 aims to realize general-purpose autonomous humanoid AI robots that can act alongside human beings and empathize with human values by 2050.
- The call for proposals includes three categories: Integrated Research, Specialized Research, and Elemental Research, with varying budgets and timelines.
- Proposals must include scenarios for 2050, specific 2030 targets, and concrete verification methods involving task, condition, and disturbance settings.
- Projects are strongly encouraged to foster industry-academia-government collaboration toward developing prototypes suitable for private investment by 2030.
- Portfolio management will involve ongoing evaluation, milestone adjustments, and potential plan revisions to respond to rapid developments in AI robotics.
1. Recruitment and Selection Policy, etc. (1) Regarding Recruitment (2) Recruitment and Selection Policy (3) Proposal details 2. Points to note when promoting R&D (1) Portfolio Management (2) Industry-academia-government collaboration (3) International Collaboration and Global Competitiveness
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
Please choose one of the following three research categories and apply.
1.(2) Recruitment and Selection Policy
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-23
Enforcement
4/5Consequences and compliance mechanisms with real force
all projects may undergo plan and budget revisions during interim evaluations (first half of the 2028 fiscal year) or as needed
1.(2) Recruitment and Selection Policy
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23