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广岛会议:生成式人工智能进程(英
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G7 HIROSHIMA PROCESS
ON GENERATIVE ARTIFICIAL
INTELLIGENCE (AI)
TOWARDS A G7 COMMON
UNDERSTANDING ON
GENERATIVE AI
REPORT PREPARED FOR
THE 2023 JAPANESE G7
PRESIDENCY AND THE G7
DIGITAL AND TECH WORKING
GROUP
7 September 2023

2 | G7 HIROSHIMA PROCESS ON ARTIFICIAL INTELLIGENCE (AI)
© OECD 2023
G7 leaders identified topics for discussion in the Hiroshima process and called for an early stock taking of
opportunities and challenges related to generative AI. This report presents the results of a questionnaire
developed to support the stocktaking to help guide G7 discussions on common policy priorities with regard to
generative AI. It also provides a brief overview of the development of generative AI over time and across
countries. The report and questionnaire results should be understood as representing a snapshot in time: they
are indicative of trends identified in summer 2023 in a rapidly evolving area of technology. The report helped
inform and structure discussions of the G7 Hiroshima AI Process.
This document was prepared by the Organisation for Economic Co-operation and Development (OECD)
Directorate for Science Technology and Innovation (STI) for the 2023 Japanese G7 Presidency and the G7
Digital and Tech Working Group, to inform discussions during the G7 Hiroshima Artificial Intelligence
Process and the related interim virtual Ministers' Meeting on generative artificial intelligence on 7 September
2023. The opinions expressed and arguments employed herein do not necessarily reflect the official views of
the member countries of the OECD or the G7.
This work is published under the responsibility of the Secretary-General of the OECD.
This document, as well as any data and map included herein, are without prejudice to the status of or
sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of
any territory, city or area.
Cover image: ©TippaPatt/Shutterstock.
© OECD 2023
The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at
http://www.oecd.org/termsandconditions
.

G7 HIROSHIMA PROCESS ON GENERATIVE ARTIFICIAL INTELLIGENCE (AI) | 3
© OECD 2023
EXECUTIVE SUMMARY
Generative AI has rapidly entered public discourse.
Generative AI has entered into public consciousness and is increasingly present in peoples’ everyday
conversations worldwide. The number of news articles and tweets related to ‘generative AI’ grew eight-fold
over just six months.
Growth in generative AI research, including its open-source code development, preceded the surge in
investments.
The widespread awareness and rapid uptake of generative AI have been enabled by steady, incremental
progress in both research and code development. Fundamental innovations such as the ‘Transformers’
architectures, contributions of the open-source community, alongside improvement in computing power have
paved the way for the proliferation of large language models as well as other type of generative AI models.
Scientific publications and open-source code development on generative AI have grown remarkably since
2017, and this trend accelerated in 2023. Venture capital investments in generative AI have skyrocketed and
were estimated at USD 12 billion globally in the first half of 2023 alone. Scientific publications and software,
including open-source code, related to generative AI have seen a parallel remarkable surge since 2017, with
this trend further accelerating in 2023.
Rapid advances in generative AI are driven by its expected potential to drive productivity gains and to
promote innovation and entrepreneurship, as well as to unlock solutions to global challenges.
In a questionnaire administered in Q3 2023, G7 members unanimously saw productivity gains, promoting
innovation and entrepreneurship and unlocking solutions to global challenges, as some of the greatest
opportunities of AI technologies worldwide, including for emerging and developing economies. G7 members
also emphasised generative AI’s potential role to help address pressing societal challenges, such as improving
healthcare and helping to solve the climate crisis, and to support progress towards achieving the Sustainable
Development Goals (SDGs).
Yet, generative AI’s potential benefits come with risks.
The capacity of generative AI to exacerbate the challenges of disinformation and manipulation of opinions is
considered by G7 members as one of the major threats stemming from generative AI, alongside risks of
intellectual property rights infringement and privacy breaches. Early efforts to track AI incidents found one
thousand distinct incidents and hazards related to generative AI, based on roughly 5 600 news articles dated
from January to July 2023.
As these risks evolve rapidly, their management and mitigation is at the top of the agenda for G7
governments.
Responsible use of generative AI, addressing disinformation, safeguarding intellectual property rights, and
governing generative AI are among the top priorities for G7 policymakers and require international cooperation
with like-minded partners. Other urgent and important issues emphasised by G7 members include privacy and
data governance, transparency, fairness and bias, human and fundamental rights, security and robustness of AI
systems, and impacts on the functioning of democracy.
G7 jurisdictions are evaluating their respective responses to generative AI, as well as the policy gaps.
Countries are leveraging existing and forthcoming legal and policy frameworks and developing guidelines or
regulation to address risks related to generative AI. National initiatives are also being strengthened to seize its
opportunities. New issues raised by generative AI appear to affect specific sectors in particular, such as
education, media, and the workplace.
G7 members are aligned on the need to provide effective tools for safety, quality control, and capacity
and trust building for generative AI.

4 | G7 HIROSHIMA PROCESS ON ARTIFICIAL INTELLIGENCE (AI)
© OECD 2023
Safety, quality control, capacity and trust building for generative AI were seen as among the most urgent and
important international action the G7 could undertake. Engaging in dialogue was also considered to be most
urgent, and developing voluntary codes of conduct was identified as among the most important actions.

G7 HIROSHIMA PROCESS ON GENERATIVE ARTIFICIAL INTELLIGENCE (AI) | 5
© OECD 2023
Table of contents
EXECUTIVE SUMMARY 3
INTRODUCTION 6
1. SETTING THE SCENE 7
1.1. Generative AI trends 7
1.2. Incidents and hazards related to generative AI 11
2. GENERATIVE AI FROM A G7 PERSPECTIVE 12
2.1. Opportunities and risks for G7 members 12
2.2. Priorities in terms of values-based principles for G7 members 15
2.3. Potential collective international approach 23
2.4. National and regional initiatives in G7 jurisdictions 27
References 37
FIGURES
Figure 1.1. Generative AI has rapidly entered public discourse 7
Figure 1.2. The growth of generative AI research precedes the surge in investments 9
Figure 1.3. Generative AI open-source code has seen more gradual growth than open-source models 10
Figure 1.4. Generative AI-related incidents and hazards reported by reputable news outlets have grown exponentially 12
Figure 2.1. Top five opportunities of generative AI to help achieve national and regional goals 13
Figure 2.2. Top five risks presented by generative AI in achieving national and regional goals 14
Figure 2.3. Most urgent priorities regarding generative AI: priorities highlighted in the G7 statement 15
Figure 2.4. Most important priorities regarding generative AI: priorities highlighted in the G7 statement 16
Figure 2.5. Most urgent priorities regarding generative AI: Other priorities highlighted in the OECD AI Principles 17
Figure 2.6. Most important priorities regarding generative AI: Other priorities highlighted in the OECD AI Principles 18
Figure 2.7. Gaps in G7 members’ existing or underway policies to successfully address challenges of generative AI 18
Figure 2.8. Most urgent types of actions the G7 could recommend 26
Figure 2.9. Most important types of actions the G7 could recommend 26
TABLES
Table 2.1. Overview of national and regional initiatives to leverage opportunities of generative AI 28
Table 2.2. Overview of national and regional initiatives to address risks related to generative AI 32
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