Ethics & Policy
Expert Insights On Ethics, Tech, And Law
Robots from the Zurich Federal Institute of Technology play football at the ITU AI for Good Global … More
In the runaway train of AI development, those responsible for managing the risks are often chasing to stay ahead.
As stories of bots and AI tools gone rogue make headlines and consumer AI tools flood the market, public trust in conversational AI has taken a hit. A 2024 Gallup/Bentley University survey found only 23% of American consumers trust businesses to handle AI responsibly.
For professionals in AI governance and compliance, this is the reality they grapple with daily. With 2025 set to bring new challenges, from AI agents to fresh regulatory developments, we spoke to industry leaders to get their take on the future of AI governance.
The Regulatory Maze Will Become More Complex
In 2025, AI governance will heavily revolve around compliance with emerging regulations, predicts Michael Brent, Director of Responsible AI at Boston Consulting Group (BCG).
The EU AI Act, with its potential €35 million penalties, is set to become a defining force in global AI governance.
“The EU’s regulatory approach will serve as a closely watched test case, with organizations and nations monitoring its impact on competitive advantage and business operations,” explains Ms. Alyssa Lefaivre Škopac, Director of AI Trust and Safety at the Alberta Machine Intelligence Institute (Amii).
Ms. Lefaivre Škopac predicts that “soft law” mechanisms – including standards, certifications, a collaboration between national AI Safety Institutes, and domain-specific guidance – will play an increasingly important role in filling regulatory gaps. “It’s still going to be fragmented and won’t be fully harmonized for the foreseeable future, if ever,” she admits.
Meanwhile, the U.S. landscape is expected to remain fragmented.
Alexandra Robinson, who heads up the AI Governance and Cybersecurity Policy teams supporting U.S. federal government partners at Steampunk Inc., predicts that “state governments will invest in enacting consumer-focused AI legislation, while Congress is likely to prioritize reducing barriers to innovation—mirroring the landscape of U.S. consumer privacy regulation.”
Experts predict that the compliance landscape will take multiple shapes. Fion Lee-Madan, Co-Founder of Fairly AI, an AI governance software company, makes a bold forecast: “ISO/IEC 42001 certification will be the hottest ticket in 2025, as organizations shift from AI buzz to tackling real security and compliance requirements of AI responsibility. ‘’
Standards and certifications, though voluntary, are becoming essential tools for navigating the complex regulatory environment, with procurement teams increasingly demanding them to ensure trust and compliance from AI vendors, claims Ms. Lee-Madan.
Agentic AI Will Redefine Governance Priorities
While generative AI dominated headlines in 2024, experts believe 2025 belongs to “agentic AI.” These systems, capable of autonomously planning and executing tasks based on user-defined objectives, present unprecedented governance challenges.
“With the surge in research on agentic workflows, we anticipate an upsurge in AI governance centered around AI agents,” predicts Apoorva Kumar, CEO and Co-founder of Inspeq AI, a Responsible AI Operations Platform.
Building on this, Jose Belo, co-chair of the International Association of Privacy Professionals (IAPP) London Chapter, warns that the decision-making capabilities of these systems raise thorny questions about autonomy and the safeguards needed to prevent harm. Similarly, experts like Ms. Lefaivre Škopac from AMII anticipate significant research into balancing the autonomy of these systems with the accountability of their actions.
The workforce implications also loom large: “This will naturally intensify discussions and research around AI’s workforce impacts and replacing employees with AI agents and at what scale,” she cautions.
AI Governance Will Shift from Ethics to Operational Realities
“AI governance is no longer just an ethical afterthought; it’s becoming standard business practice,” notes Ms Lefaivre Škopac.
Companies are embedding responsible AI principles into their strategies, recognizing that governance involves people and processes as much as it involves the technology itself, according to Giovanni Leoni, Responsible AI Manager and Associate Director at Accenture.
Framing governance as part of a larger transformation, Mr. Leoni observes: “AI governance is a change management journey.” This shift reflects a growing recognition of AI governance as a critical component of strategic planning rather than an isolated initiative.
This evolution is further highlighted by Alice Thwaite, Head of Ethics at Omnicom Media Group UK, who points out that businesses are beginning to separate the concepts of AI governance, ethics, and compliance. “Each of these areas calls for unique frameworks and expertise,” she notes, reflecting a maturing understanding of AI’s challenges.
Meanwhile, Mr Kumar draws attention to the operational side of this transformation. With the rise of Responsible AI Operations (RAIops) and platforms like Inspeq AI, companies now have tools to measure, monitor, and audit their AI applications, integrating governance directly into their workflows.
Environmental Considerations Will Play a Bigger Role in AI Governance
Environmental considerations are becoming a core governance concern, experts predict. Mr. Belo of the IAPP emphasizes that reducing AI’s environmental impact is a shared responsibility between providers and deployers.
Providers must take the lead by designing energy-efficient systems and adopting transparent carbon reporting practices. Deployers, in turn, should embrace sustainable practices in cloud usage, prioritize greener data centers, and minimize redundancy. Ethical decommissioning of AI systems will also be crucial to prevent unnecessary environmental degradation.
Key Drivers of AI Governance Progress
What will drive progress in AI governance? Industry leaders offer key insights, each emphasizing different yet interconnected factors:
Michael Brent of BCG highlights the role of proactive corporate involvement: “The single biggest factor that will accelerate progress in AI governance is proactive corporate investment, including establishing Responsible AI teams.”
From a practical standpoint, Apoorva Kumar of Inspeq AI points to real-world consequences: “Loss of trust and reputation has already cost companies like DPD, Snapchat, and Google Gemini dearly. Ongoing failures will drive further progress in AI governance.”
On the enterprise front, Ms. Lefaivre Škopac stresses the importance of leveraging purchasing power: “Organizations must leverage their purchasing power to demand higher standards from AI providers, requiring transparency, documentation, and testing results.”
Lastly, as AI becomes more widespread, Mr. Belo underscores the need for education: “AI literacy is gaining recognition as a critical requirement across industries.”
Each perspective reinforces the notion that progress in AI governance requires action across multiple fronts—corporate commitment, transparency, and a growing focus on literacy and accountability.
The Road Ahead: Clear Challenges, Complex Solutions
In summary, the road to improved AI governance is unlikely to be straightforward. Some of the more optimistic predictions—such as increased investment in AI compliance—have been tempered by the ongoing complexities of both theoretical frameworks and operational challenges in AI governance.
Global harmonization remains an elusive goal, particularly in light of recent developments in the United States. Organizations continue to grapple with a mix of “soft power” mechanisms—frameworks, standards, and protocols—without clear regulatory guidance for specific use cases.
At the same time, emerging AI trends, such as agentic AI, are poised to introduce a new wave of complex risks that will test the adaptability of responsible AI practitioners. A key distinction persists between a holistic, human-centered approach to responsible AI development and a narrower focus on risk management at the highest levels.
What’s clear is that no single team can tackle these challenges alone. As Ms. Robinson of Steampunk aptly summarizes: “My motto for 2025 is to move from extractive AI compliance to effective engagement. For those of us working on AI governance, we need to empower technologists to create and deploy secure, reliable, and responsible AI. This means meeting people where they are—we can’t hand a product owner a 500-question AI risk assessment and expect anything other than frustration.”
Although the AI governance landscape of 2025 promises to be as complex as ever, the contours of a more structured and actionable framework for AI governance are becoming visible.
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
Preparing Timor Leste to embrace Artificial Intelligence
UNESCO, in collaboration with the Ministry of Transport and Communications, Catalpa International and national lead consultant, jointly conducted consultative and validation workshops as part of the AI Readiness assessment implementation in Timor-Leste. Held on 8–9 April and 27 May respectively, the workshops convened representatives from government ministries, academia, international organisations and development partners, the Timor-Leste National Commission for UNESCO, civil society, and the private sector for a multi-stakeholder consultation to unpack the current stage of AI adoption and development in the country, guided by UNESCO’s AI Readiness Assessment Methodology (RAM).
In response to growing concerns about the rapid rise of AI, the UNESCO Recommendation on the Ethics of Artificial Intelligence was adopted by 194 Member States in 2021, including Timor-Leste, to ensure ethical governance of AI. To support Member States in implementing this Recommendation, the RAM was developed by UNESCO’s AI experts without borders. It includes a range of quantitative and qualitative questions designed to gather information across different dimensions of a country’s AI ecosystem, including legal and regulatory, social and cultural, economic, scientific and educational, technological and infrastructural aspects.
By compiling comprehensive insights into these areas, the final RAM report helps identify institutional and regulatory gaps, which can assist the government with the necessary AI governance and enable UNESCO to provide tailored support that promotes an ethical AI ecosystem aligned with the Recommendation.
The first day of the workshop was opened by Timor-Leste’s Minister of Transport and Communication, H.E. Miguel Marques Gonçalves Manetelu. In his opening remarks, Minister Manetelu highlighted the pivotal role of AI in shaping the future. He emphasised that the current global trajectory is not only driving the digitalisation of work but also enabling more effective and productive outcomes.
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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