Ethics & Policy
Shaping trustworthy AI: Early insights from the Hiroshima AI Process Reporting Framework
As artificial intelligence (AI) systems become increasingly integrated into our economies and societies, questions about their trustworthiness, safety, and societal impact have never been more pressing. To address these concerns, the Hiroshima AI Process (HAIP) was launched by G7 countries in 2023, culminating in a landmark international code of conduct for organisations developing advanced AI systems.
To support the implementation of this code, the OECD worked with experts from government, business, academia, and civil society to design a voluntary reporting framework. This framework aims to promote transparency, foster peer learning, and align AI development with democratic values and shared global interests. It was piloted in mid-2024 and officially launched in February 2025 at the French AI Action Summit.
In this blog post, we share preliminary insights from the first wave of organisational reports submitted through the HAIP framework. These findings offer a glimpse into how leading companies and institutions are addressing AI-related risks, promoting transparency, and aligning their systems with the public interest.
Participants from around the world, from big tech to small research institutes
Between February and April 2025, 19 organisations voluntarily submitted reports using the HAIP framework. Most were developers or deployers of advanced AI systems, with representation from Japan, the United States, Germany, Canada, Korea, Romania, and Israel. Participants included both large tech firms and smaller advisory or research institutions, providing a wide array of perspectives on how to responsibly develop and deploy AI.
What does the framework cover?
The HAIP reporting framework is organised around seven thematic areas that correspond to the actions of the G7 code of conduct:
- Risk identification and evaluation
- Risk management and information security
- Transparency reporting
- Organisational governance and incident management
- Content authentication and provenance
- Research and investment in AI safety
- Advancing human and global interests
Each section offers a structured approach for organisations to reflect on and communicate their practices, assisting in benchmarking against emerging international standards.
Key findings
1. Diverse approaches to AI risk evaluation
Organisations are using a variety of methods to identify and evaluate risks. These range from technical assessments and adversarial testing to stakeholder engagement and expert review. Larger companies often focus on systemic risks, such as societal bias or large-scale misuse, while smaller organisations emphasise sector-specific concerns.
Notably, the use of AI tools to test other AI systems is increasing. Several participants are also implementing structured risk frameworks and testing procedures, such as red and purple teaming, to identify vulnerabilities.
2. Layered risk management and security
All participants reported using multi-layered strategies to manage AI risks, including technical safeguards (such as model fine-tuning and secure testing environments), procedural controls, and real-time monitoring. Secure testing environments and robust cybersecurity practices—often aligned with ISO or NIST standards—are standard.
There is also attention to privacy and intellectual property: some organisations allow web content providers to opt out of data scraping, while others use privacy filters and contractual safeguards.
3. Transparency practices vary by sector
Consumer-facing companies frequently publish comprehensive reports, such as model cards and transparency disclosures. Business-to-business (B2B) firms often share such information privately with their clients. Overall, transparency regarding AI system limitations, risks, and updates is increasing.
However, practices regarding training data transparency remain inconsistent. While some open-weight models are thoroughly documented, others are less forthcoming, especially among B2B providers.
4. Stronger organisational governance
Most organisations are incorporating AI risk into their overall risk management systems or establishing dedicated AI governance frameworks. These initiatives generally encompass staff training, incident response protocols, and, in some instances, oversight at the board level.
Some organisations also depend on third-party audits or expert panels to validate their risk management practices. Incident management is becoming increasingly transparent, with several companies publishing updates and engaging in threat information-sharing initiatives.
5. Early steps on content authentication
Many organisations are now notifying users when they interact with AI, using disclaimers or interface design. However, the technical tools for verifying AI-generated content—such as watermarking or cryptographic credentials—remain in the early stages. Currently, adoption is led by a few major tech companies.
Despite limited uptake, several organisations are investing in these tools and contributing to international standard-setting efforts, including initiatives such as C2PA and NIST’s Synthetic Content Task Force.
6. Investing in AI safety and research
Organisations are increasingly investing in R&D to enhance AI safety, fairness, and interpretability. These efforts include internal safety labs, open-source tools, and collaborations with academia and civil society.
Several participants are contributing to the development of global safety norms through initiatives such as the Frontier Model Forum, the AI Safety Consortium, and the OECD’s Catalogue of Tools and Metrics for Trustworthy AI.
7. AI for public good and global priorities
Many organisations reported applying AI to address societal challenges, ranging from climate resilience and public health to education and accessibility. Examples include AI-powered diagnostics for tuberculosis, digital literacy programmes, and sustainable data infrastructure powered by renewable energy.
These initiatives are often linked to ESG priorities and the UN Sustainable Development Goals. Importantly, some organisations are tailoring tools for underserved regions and collaborating with civil society groups to design inclusive AI systems.
Ideas to improve the framework’s value for future reporting
Participants found the HAIP reporting process valuable for internal coordination, benchmarking, and clarifying roles and responsibilities around AI governance. While the framework has already proven useful, there is room to strengthen its relevance and usability:
- Keep pace with technological change: As AI capabilities evolve, the framework should adapt. Participants suggested updating it annually to reflect new risks and practices.
- Make reporting easier: Providing structured response options, drop-down menus, and clearer guidance could improve consistency and reduce barriers to participation.
- Offer tailored support: Role-specific modules for developers, deployers, and policymakers could help broaden engagement across the AI value chain.
- Encourage peer learning: Facilitated discussions and best practice exchanges among participants could strengthen the community of practice around trustworthy AI.
A foundation for global AI transparency
The HAIP reporting framework is a promising step towards greater transparency and accountability in the development of advanced AI systems. By voluntarily disclosing their practices, organisations not only build public trust but also help shape a shared understanding of what responsible AI looks like in practice.
The OECD will continue working with partners to refine the framework, support participating organisations, and expand its reach. These early insights mark the beginning of a broader journey towards operationalising the Hiroshima AI Process and advancing trustworthy AI on a global scale.
The post Shaping trustworthy AI: Early insights from the Hiroshima AI Process Reporting Framework appeared first on OECD.AI.
Ethics & Policy
AI and ethics – what is originality? Maybe we’re just not that special when it comes to creativity?
I don’t trust AI, but I use it all the time.
Let’s face it, that’s a sentiment that many of us can buy into if we’re honest about it. It comes from Paul Mallaghan, Head of Creative Strategy at We Are Tilt, a creative transformation content and campaign agency whose clients include the likes of Diageo, KPMG and Barclays.
Taking part in a panel debate on AI ethics at the recent Evolve conference in Brighton, UK, he made another highly pertinent point when he said of people in general:
We know that we are quite susceptible to confident bullshitters. Basically, that is what Chat GPT [is] right now. There’s something reminds me of the illusory truth effect, where if you hear something a few times, or you say it here it said confidently, then you are much more likely to believe it, regardless of the source. I might refer to a certain President who uses that technique fairly regularly, but I think we’re so susceptible to that that we are quite vulnerable.
And, yes, it’s you he’s talking about:
I mean all of us, no matter how intelligent we think we are or how smart over the machines we think we are. When I think about trust, – and I’m coming at this very much from the perspective of someone who runs a creative agency – we’re not involved in building a Large Language Model (LLM); we’re involved in using it, understanding it, and thinking about what the implications if we get this wrong. What does it mean to be creative in the world of LLMs?
Genuine
Being genuine, is vital, he argues, and being human – where does Human Intelligence come into the picture, particularly in relation to creativity. His argument:
There’s a certain parasitic quality to what’s being created. We make films, we’re designers, we’re creators, we’re all those sort of things in the company that I run. We have had to just face the fact that we’re using tools that have hoovered up the work of others and then regenerate it and spit it out. There is an ethical dilemma that we face every day when we use those tools.
His firm has come to the conclusion that it has to be responsible for imposing its own guidelines here to some degree, because there’s not a lot happening elsewhere:
To some extent, we are always ahead of regulation, because the nature of being creative is that you’re always going to be experimenting and trying things, and you want to see what the next big thing is. It’s actually very exciting. So that’s all cool, but we’ve realized that if we want to try and do this ethically, we have to establish some of our own ground rules, even if they’re really basic. Like, let’s try and not prompt with the name of an illustrator that we know, because that’s stealing their intellectual property, or the labor of their creative brains.
I’m not a regulatory expert by any means, but I can say that a lot of the clients we work with, to be fair to them, are also trying to get ahead of where I think we are probably at government level, and they’re creating their own frameworks, their own trust frameworks, to try and address some of these things. Everyone is starting to ask questions, and you don’t want to be the person that’s accidentally created a system where everything is then suable because of what you’ve made or what you’ve generated.
Originality
That’s not necessarily an easy ask, of course. What, for example, do we mean by originality? Mallaghan suggests:
Anyone who’s ever tried to create anything knows you’re trying to break patterns. You’re trying to find or re-mix or mash up something that hasn’t happened before. To some extent, that is a good thing that really we’re talking about pattern matching tools. So generally speaking, it’s used in every part of the creative process now. Most agencies, certainly the big ones, certainly anyone that’s working on a lot of marketing stuff, they’re using it to try and drive efficiencies and get incredible margins. They’re going to be on the race to the bottom.
But originality is hard to quantify. I think that actually it doesn’t happen as much as people think anyway, that originality. When you look at ChatGPT or any of these tools, there’s a lot of interesting new tools that are out there that purport to help you in the quest to come up with ideas, and they can be useful. Quite often, we’ll use them to sift out the crappy ideas, because if ChatGPT or an AI tool can come up with it, it’s probably something that’s happened before, something you probably don’t want to use.
More Human Intelligence is needed, it seems:
What I think any creative needs to understand now is you’re going to have to be extremely interesting, and you’re going to have to push even more humanity into what you do, or you’re going to be easily replaced by these tools that probably shouldn’t be doing all the fun stuff that we want to do. [In terms of ethical questions] there’s a bunch, including the copyright thing, but there’s partly just [questions] around purpose and fun. Like, why do we even do this stuff? Why do we do it? There’s a whole industry that exists for people with wonderful brains, and there’s lots of different types of industries [where you] see different types of brains. But why are we trying to do away with something that allows people to get up in the morning and have a reason to live? That is a big question.
My second ethical thing is, what do we do with the next generation who don’t learn craft and quality, and they don’t go through the same hurdles? They may find ways to use {AI] in ways that we can’t imagine, because that’s what young people do, and I have faith in that. But I also think, how are you going to learn the language that helps you interface with, say, a video model, and know what a camera does, and how to ask for the right things, how to tell a story, and what’s right? All that is an ethical issue, like we might be taking that away from an entire generation.
And there’s one last ‘tough love’ question to be posed:
What if we’re not special? Basically, what if all the patterns that are part of us aren’t that special? The only reason I bring that up is that I think that in every career, you associate your identity with what you do. Maybe we shouldn’t, maybe that’s a bad thing, but I know that creatives really associate with what they do. Their identity is tied up in what it is that they actually do, whether they’re an illustrator or whatever. It is a proper existential crisis to look at it and go, ‘Oh, the thing that I thought was special can be regurgitated pretty easily’…It’s a terrifying thing to stare into the Gorgon and look back at it and think,’Where are we going with this?’. By the way, I do think we’re special, but maybe we’re not as special as we think we are. A lot of these patterns can be matched.
My take
This was a candid worldview that raised a number of tough questions – and questions are often so much more interesting than answers, aren’t they? The subject of creativity and copyright has been handled at length on diginomica by Chris Middleton and I think Mallaghan’s comments pretty much chime with most of that.
I was particularly taken by the point about the impact on the younger generation of having at their fingertips AI tools that can ‘do everything, until they can’t’. I recall being horrified a good few years ago when doing a shift in a newsroom of a major tech title and noticing that the flow of copy had suddenly dried up. ‘Where are the stories?’, I shouted. Back came the reply, ‘Oh, the Internet’s gone down’. ‘Then pick up the phone and call people, find some stories,’ I snapped. A sad, baffled young face looked back at me and asked, ‘Who should we call?’. Now apart from suddenly feeling about 103, I was shaken by the fact that as soon as the umbilical cord of the Internet was cut, everyone was rendered helpless.
Take that idea and multiply it a billion-fold when it comes to AI dependency and the future looks scary. Human Intelligence matters
Ethics & Policy
Experts gather to discuss ethics, AI and the future of publishing
Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.
True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing’s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.
This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.
Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.
Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.
BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.
Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.
Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.
Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.
Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.
The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.
yangyangs@chinadaily.com.cn
Ethics & Policy
Experts gather to discuss ethics, AI and the future of publishing
Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.
True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing”s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.
This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.
Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.
Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.
BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.
Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.
Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.
Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.
Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.
The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.
yangyangs@chinadaily.com.cn
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