Ethics & Policy
Q&A: AI ethics expert sees philosophy as critical to AI debate
What’s the context?
Cansu Canca, founder of AI Ethics Lab, discusses the future of AI and the ethics risks AI systems used in technology can bring.
Cansu Canca is a 2024 Mozilla Rise25 honouree. Mozilla’s Rise25 awards celebrate the people leading the next wave of AI – using philanthropy, collective power, and the principles of open source to make sure the future of AI is responsible, trustworthy, inclusive and centred around human dignity.
Context is a partner of Mozilla Rise25.
RICHMOND, Virginia – As artificial intelligence rapidly changes the way people live, work and even think, it is the daily job of Cansu Canca to ponder the big philosophical and ethical questions surrounding the expanding deployment of AI.
To Canca’s thinking, philosophy helps strengthen and steer her quest.
“In some sense I think if I was not a philosopher, I couldn’t have approached this core question of AI ethics,” she said.
Some organizations, she says, can look for ways to simply check a box on ethics in AI.
“If you are not coming from an analytical philosophy mindset,” she said, what you often mistakenly “end up looking for is a checklist: ‘Did we comply with X, Y, and Z? …. Now just go forward with the innovation – that is the exciting part.'”
“For us, ethics in innovation is exciting in itself.”
Canca is the founder of the Cambridge, Massachusetts-based AI Ethics Lab, one of the first labs dedicated to crafting systematic programs for ethics in AI.
Canca is also Director of Responsible AI Practice at Northeastern University’s Institute for Experiential AI and a research associate professor at Northeastern.
She has a Ph.D. in philosophy, specializing in applied ethics, has served as an ethics advisor to Fortune 500 companies and works with the World Economic Forum’s AI Governance Alliance on guidelines and best practices.
She spoke with Context about how philosophy is central to ongoing debates over AI and ethics, where gaps persist in the ethical deployment of AI and potential risks moving forward.
This interview has been edited for length and clarity.
You obviously have a significant background in philosophy. How has that colored your experience with AI and ethics?
Once we start talking about AI ethics, you are necessarily talking about philosophy.
As soon as you want to go beyond simply asking ‘Is this fair?’ you have to start thinking about ‘What does fairness mean in this context?’ and that is a deeply philosophical question.
There are also many other philosophical questions that are arising with new AI systems, like large language models (LLMs)– what is the relationship between language and mental models? What is the relationship with language and capabilities like reasoning? What is necessary and sufficient to have human-level or beyond human-level capabilities – perhaps not mind or consciousness, but just language.
And this draws in philosophy of mind, philosophy of language.
So I would say I’m even more glad to be a philosopher at this point.
In the past you’ve touched on bias in AI – have you seen any meaningful improvements (or) attempts at improvements at such issues over the last five years or so?
I think there is definitely improvement, especially when you think about the famous cases. Both the developers and deployers, for example, now know that facial recognition is a sensitive technology, and we need to be careful. It’s already well exposed in its weaknesses.
The same, though, is not true when you are dealing with less-showcased use cases. Unfair bias is a critical concern for most AI systems that deal with humans and society. For example, when you’re creating a recommendation or ranking systems for which opportunities to present in education, in finance, in jobs – basically anything that matters for people’s life choices, it becomes crucial what they get to see and what is judged to be ‘not suitable’ for them.
I said this so many times already, but I think it still is important to keep in mind – we are viewing the world through an AI-mediated structure.
Through your social media or your job search or your education search – things are ranked and structured and recommended for you. This makes sense because the information is so abundant that you cannot deal with it if it is not structured.
Structuring makes sense. But … there’s always a value judgment within that structuring.
And when we are dealing with unjust biases in this context, what we are really dealing with is shaping and limiting one’s world because we/the AI judges that they just don’t need to know the rest of the world and its opportunities.
The system basically decides and in effect chooses for you, looking at your gender, your socio-economic background, maybe you don’t need to know about this high-paying job, this great educational opportunity, this good credit card.
And that is a decision that is as relevant, as important, if not more (so) in many cases, than the biases in facial recognition. It’s still very hard to make sure that organizations pay sufficient attention.
To what extent has ‘ethics washing’ improved in practice when it comes to AI?
The industry is doing better on that front, but it’s absolutely not even close to doing great.
You see this also in the trends of when they are hiring and when they are firing. The incentive still seems to come directly from the regulatory and market perception.
Most companies still don’t see it as an integral part but rather almost like a part of communications and PR – which is absolutely not the right attitude to have.
What do you see as some of the major potential pitfalls and risks for companies that mean to use or leverage AI well?
I think one way to think about this is instead of focusing on the thing, which is AI, we should be focusing on, what is your worry? What is your concern?
It doesn’t really matter whether this is an LLM or this is a predictive model or this is some unreliable search engine that you’re using – we should probably just ask you what we are concerned about.
The AI part should inform how we formulate the questions, but if we just focus on this big, bad AI that we are chasing, it’s hard to explain what … is really the risk that we are concerned about and trying to avoid.
When we are integrating something like this into our way of operating, we also need to be very careful about what other side effects and unexpected changes we might see and prepare for.
If you think about organizations using different LLMs for different tasks and connecting those LLMs, what is potentially getting lost in communication?
If my AI is reading your email and responding to your email, where is my thinking going into this? (If) I’m just reading the AI summaries, am I getting the nuances of what you really meant, which I would get with your facial expression, with your conversation?
So it’s almost like we are creating a web of AI systems interacting with each other and we have to be mindful (of) where the human interaction is necessary and desired.
Because it’s very easy to sort of lay back and watch tasks being done and, while doing so, losing a lot of creativity and value in the process.
(Reporting by David Sherfinski; Editing by Ellen Wulfhorst.)
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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