Choose an institution to see its records and dossier, or choose a topic.
Through year 2027 · all records, including scheduled dates 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1994 1993 1992 1991 1989 1986 1985 1984 1983 1979 1966 1965 1961 1960 1955 1952 1950 1872 1863 Show Organisations and infrastructure All types Organisation Person Document Concept Infrastructure Public body Country Reset filters
101 people, organisations and other records · 133 relationships · 34 claims about a valueEverything recorded up to the chosen year, whether or not still in effect · Undated records included
Claim and evidence Close ×
The Hiroshima Process Code of Conduct states that it will provide voluntary guidance for actions by organisations developing the most advanced AI systems, which it defines to include the most advanced foundation models and generative AI systems. Copy claim link
Copy claim reference
Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Provision Threshold or trigger · provision ID intl-g7-code-scope-voluntary Subject version As welcomed by the G7 leaders on 30 October 2023 · Published 2023-10-30 · Effective date not established Date 2023-10-30 · publication Scope and limits Defines the code's addressees by description only; it sets no compute or capability threshold.
The evidence 01 primary source Supports the claim
Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems ↗ Ministry of Internal Affairs and Communications, Japan (Hiroshima AI Process site) · Publication date unknown
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “will provide voluntary guidance for actions by organizations developing the most advanced AI systems, including the most advanced foundation models and generative AI systems (henceforth "advanced AI systems").” Location in source PDF p. 1, first paragraph
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-28
Source details and check notes Authors G7 Version Retrieved on 2026-10-27 (SHA-256 14cfe36633502daa48231b49ca7f186c53a72add181b328047665763ecb13ac4). Undated English PDF; dated by the G7 Leaders' Statement of 30 October 2023, which attaches it Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution G7, “Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems”. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, frameworks to law (research/frameworks-to-law). The quotation (28 words) matched the text retrieved for the candidate pack on 2026-10-27 and again at admission on 2026-10-28, in a fresh retrieval whose SHA-256 equals the pack’s. Read directly from www.soumu.go.jp. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. An exact framework edition states one provision: a capability threshold or risk level and its trigger, a required safeguard or action, a decision authority (who decides, recommends, can overrule or is informed), or a stated exception. The quoted text records what the edition says, not implementation, compliance or effectiveness. Provisions with the same key align across editions of one family.
Date. Undated PDF; date of the Leaders' Statement.
Record ID fl-intl-g7-code-scope-voluntary