A governance framework for the development and use of artificial intelligence: lessons from the comparison of Japanese and European initiatives
Abstract
When a new type of technology emerges, law and lawyers often face two, contradictory demands. On the one hand, some rules of the existing law are found to be an impediment to the development and application of the technology. In such cases, changes to the relevant law are demanded. On the other hand, developers of the technology often claim that the absence of an established rule, often a rule on the liability, creates a lack of predictability and deters further development of the technology. The result will be the demand for clear guidance about what may be done and what should not be done. This is true with the recent development of technology for artificial intelligence (AI). While it is not the first time that AI has attracted the public’s attention, many people have come to see its most recent development as highly promising.1 As the expectation becomes greater, however, the demands on law as described above have also grown stronger. Take the autonomous vehicle (more precisely, a vehicle with sensors and an AI system on board to manoeuvre it) as an example. Since the manufacturer wanted to test such an autonomous vehicle on the public road, the traffic rules under the conventions on road traffic (the 1949 Geneva Convention and the 1968 Vienna Convention) posed a problem as they require a human driver to sit in the vehicle and control it.2 As a result, the Vienna Convention has been amended, and the governments are now discussing the amendments to the Geneva Convention. Also problematic appears the so-called trolley problem, which questions what the ‘right’ decision should be when saving one person would result in harming several others.3 An engineer coding the AI system for an autonomous vehicle may wish to avoid the blame of creating an illegal system and request lawyers to provide the solution.
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There is no clear consensus on how AI should best be defined.
“Despite—or perhaps because of—the increased attention that AI and its developed methods are receiving in multidisciplinary research, media, and policy work, there is no clear consensus on how AI should best be defined.”
From On the Governance of Artificial Intelligence through Ethics Guidelines (2020) · cites this paper as [19]
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Artificial Intelligence Regulation: A framework for governance
de Almeida, P. G. R., dos Santos, C. D., & Farias, J. S. (2021) · Ethics and Information Technology · doi:10.1007/s10676-021-09593-z · Cited by 395 · see citing works
“Based the European Union Charter of Fundamental Rights (EU Parliament, 2012), the model establishes trust-worthy AI as a key element for a governance framework (Kozuka, 2019) has been built using a three-tier structure.”
MethodOn the Governance of Artificial Intelligence through Ethics Guidelines
LARSSON, S. (2020) · Asian Journal of Law and Society · doi:10.1017/als.2020.19 · Cited by 156 · see citing works
The Development of AI Ethics in Japan: Ethics-washing Society 5.0?
Wright, J. D. (2023) · East Asian Science Technology and Society An International Journal · doi:10.1080/18752160.2023.2275987 · Cited by 29 · see citing works
“Kozuka (2019) notes that this approach of “ state-induced self-regulation ” re fl ects Japan ’ s approach to various other areas of science and technology governance, although it is worth noting that this may change in the coming years if and when the government decides to address the “ regulatory…”
Artificial Intelligence Regulation: A Meta-Framework for Formulation and Governance
de Almeida, P. G. R., dos Santos, C. E. M., & Farias, J. S. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.647 · Cited by 24 · see citing works
“With the goal of creating guidelines to orient a new AI Governance, the European Commission, through a group of experts, has drawn up the Ethics Guidelines for a Trustworthy AI, based on a very comprehensive structure and divided into three tiers [45].”
BackgroundMethodMcCormack, L., & Bendechache, M. (2024) · AI and Ethics · doi:10.1007/s43681-024-00590-8 · Cited by 16 · see citing works
“There are concerns about AI systems’ lack of humanity and human feelings and what this means as we increasingly replace human jobs with AI[68]).”
InfluentialArtificial intelligence development in Islamic System of Governance: a literature review
Shamdi, W., Lai, D. T. C., Aziz, A. A., & Anshari, M. (2022) · Contemporary Islam · doi:10.1007/s11562-022-00504-7 · Cited by 13 · see citing works
“Other researchers also develop an AI governance framework, a roadmap to guide the policymakers, and several policy recommendations (Kozuka, 2019) (Calo, 2017).”
BackgroundTowards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies
Larsson, S., Liinason, M., Tanqueray, L., & Castellano, G. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-01042-9 · Cited by 7 · see citing works
Zhang, L., Xiqiang, X., & Mengyuan, L. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04416-2 · Cited by 5 · see citing works
RetractedMarcén, A. G. (2020) · Mirai Estudios Japoneses · doi:10.5209/mira.67233 · Cited by 2 · see citing works
Insurance Discrimination and Fairness in the Age of Artificial Intelligence under Japanese Law
Totaro, D. L. (2023) · Hokengakuzasshi (JOURNAL of INSURANCE SCIENCE) · doi:10.5609/jsis.2023.662_69 · Cited by 1 · see citing works
Rewriting the Rules: Gender-Responsive Lawmaking for the Twenty-First Century
Vijeyarasa, R. (2025) · University of California Press eBooks · doi:10.1525/luminos.258 · Cited by 1 · see citing works
Regulation and Government Policy for Artificial Intelligent–Based Industry
Sharma, M. K. (2025) · doi:10.1002/9781394301287.ch10 · Cited by 1 · see citing works
Contextualisation of Relational AI Governance in Existing Research
Wiesmüller, S. (2023) · Relational economics and organization governance · doi:10.1007/978-3-031-25023-1_4
تحديات تطبيقات الذكاء الاصطناعى فى الاعلام : مقاربه أخلاقية
فاروق, ه. (2023) · Al-Maǧallah Al-Miṣriyyaẗ Li-Buḥūṯ Al-Rāʼī Al-ʿām · doi:10.21608/joa.2023.334084
Gender-Responsive Budgeting: Law as the Lever to Embed Gender in Budgetary Frameworks
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.h
Introduction: Why We Need to Rewrite the Rules
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.a
Gender-Based Violence: Reclaiming the Global South’s Leadership on Workplace Leave for Victims
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.c
Extractives: Regulating at the Margins to Formalize Artisanal and Small-Scale Mining for Women
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.f
Artificial Intelligence: Algorithmic Accountability Through an Intersectional Gender Lens
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.i · Cited by 1 · see citing works
Corporate Quotas: Legal Tools in the Struggle for Boardroom Equality
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.g
Conclusion: The Practicalities of Rewriting the Rules
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.j
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.d
Gender and the Law: A Framework for Defining Gender-Responsive Legislation
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.b
Modern Slavery: Giving Voice and Visibility to the Gendered Experiences of Supply Chain Exploitation
Vijeyarasa, R. (2026) · University of California Press eBooks · doi:10.1525/luminos.258.e
Mensah, I. K., & Khan, M. K. (2026) · Administration & Society · doi:10.1177/00953997261459994
“Furthermore, governments and regulatory bodies are increasingly focused on creating frameworks to govern the development and deployment of AI-powered systems (Kozuka, 2019; Taeihagh, 2021).”
- Authors
- Kozuka, S.
- Affiliations
- Gakushuin University (JP)
- Corresponding author
- Kozuka, Souichirou
- ORCID
- Kozuka, Souichirou
- Venue
- Uniform Law Review
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-06-01
- Volume
- 24
- Issue
- 2
- Pages
- 315-329
- ISSN
- 1124-3694 (ISSN-L)
- 2050-9065
- OpenAlex
- W2948103287
- Cited by
- 25
- References
- 0
- Citations by year
- 2026: 11 · 2025: 2 · 2024: 1 · 2023: 5 · 2022: 1 · 2021: 2 · 2020: 3
- FWCI
- 13.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Uniform Law Review (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (15H01917)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- AI governance, autonomous vehicles, road traffic law, Vienna Convention on Road Traffic, trolley problem, legal uncertainty, technology regulation, Japan-Europe comparison
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