Ethics & Policy
How AI Threatens Human Freedom
Brian Patrick Green is the director of technology ethics at the Markkula Center for Applied Ethics. Views are his own.
“Life is about choices.”
Artificial intelligence (AI) offers us the promise of better decision making, whether implemented as our conversation partner, writer, advisor, data processor, agent, or even automated car.
But what do we mean by “better”?
“Faster” might be one interpretation, and certainly, various LLMs can produce coherent text much faster than a human.
“Without supervision” might be another interpretation, as we expect self-driving cars to drive–ideally–without any human intervention.
“With superior skill” could be yet another interpretation, as we might expect from AI data processing, or advising on various arcane subjects about which we might not have a human expert to consult.
In all of these cases, we take things that we could do and delegate them to an automated system to do for us. This is not unusual from a historical perspective, where, for example, we might have in the past delegated responsibilities to other humans. Is AI any different from this?
When we delegate a job to another person, a human being still knows how to do that job. They can explain what they do and how they do it. But AI is not a human, and AI transparency and explainability cannot be taken for granted. Indeed, the whole point of some AI systems is to do jobs that humans could not otherwise do because the tasks are too huge, such as processing enormous amounts of data.
If AI does the job of a human and that human loses their skill for that task it is called deskilling [1, 2]. If AI acquires a skill that no human has previously had, this enhances human power but it is not deskilling because no human loses out … but a different effect immediately appears instead: dependency. People need the AI for that job or else the job simply cannot be done.
In most cases this tradeoff is probably worth it: gaining whatever capacity the AI is giving at the cost of dependency on the system. But imagine a world where humans are fully deskilled at tasks that we could perform and fully dependent on AI for tasks that we otherwise cannot perform. Such a world operates in an almost magical way to most everyone, except the few architects who are telling the AIs what to do, and even then, they only command the AI in their field. Everything else operates without human comprehension, giving superior results, via processes that are quite mysterious.
If we want to go somewhere, an autonomous vehicle can take us there. If we want to write something, AI will write it for us. If we want to learn about something, AI will teach us.
It all seems very empowering of human freedom and choice. But it is not. It is, in fact, the delegation of these powers in a way which makes our own decision making focus merely on ends and never on means to achieve those ends. We have wants and desires, but we have no way to fulfill them without AI assistance. We would become utterly dependent on AI for everything except our initial wants.
As a tangent, it then becomes extremely important to want the right things or else we will become horribly efficient at causing bad things. This itself warrants a hard look.
But more directly, this product without process takes away our ability to ever achieve ends on our own. It makes us irrevocably dependent upon machines, effectively enslaved to them. In Hegel’s master-slave dialectic, some interpreters (like Alexander Kojeve [3]) note that (contrary to Hegel’s own metaphysical interpretation [4]) the dependency of the master upon the slave is not only psychological, it is physical. The slave is not only enslaved to the master, the master is also effectively enslaved to the slave, because the master cannot achieve anything without the slave doing the actual work.
With AI, we are turning ourselves into enslaved masters. We choose goals, but the means escape us. We have wants but no ability to fulfill them on our own, without aid. We have tossed our freedom, independence, and agency out the window, for the sake of convenience.
And in the warping of our means, we should not expect that our ends will not be warped as well. Through surveillance and recommendations, nudges and addiction, AI can twist our desires, leaving us with nothing left except engineered, instrumentalized ends and means. A free human person reduced to an economic or political tool, a unit of consumption awaiting satiation. This is no way to live.
If human dignity has anything to do with our freedom, then this future world where both ends and means are shackled, where we express wants placed in us by AI, and are unfree to achieve them except through AI, is a future which threatens human dignity. Respecting human dignity requires respecting human freedom. “Voluntarily” choosing this future (and this is not truly voluntary in the sense of informed consent) is no excuse: If we see someone trying to sell themselves into slavery, perhaps not realizing what they are doing, we owe it to them–and to ourselves–to stop them.
Let’s not create a world where the only human choice is to be enslaved to AI. After all, what is human life without the freedom to choose? Technological dependency is one thing–we do need fire, electricity, and so on–but intelligence dependency is another thing entirely. We should not allow AI to become our parent, and we its infants, unable to make our own choices, forever trapped in an immature state, while the “automated adults” of AI take care of all the grown-up work. Responsibility dictates that we force ourselves to grow up and live as adults in the world, even if we can avoid it and stay at home, cared for by AI “nannies.” Such a babied life might seem pleasant, but it is certainly not dignified.
If life is about choices and–in the name of kindness and optimization–we take all of our choices away, then we have taken away life itself. We might be physically alive, but it would not be a dignified and humane way of life, but something less. We can still choose whether to create this future or not, in the choices that we make about AI today. Let us choose wisely.
References
[1] Brian Patrick Green, “Artificial Intelligence, Decision-Making, and Moral Deskilling,” Markkula Center website, March 15, 2029.
[2] Shannon Vallor, “Moral Deskilling and Upskilling in a New Machine Age: Reflections on the Ambiguous Future of Character,” Philosophy of Technology 28 (2015):107–124.
[3] Alexander Kojève, Introduction to the Reading of Hegel, assembled by Raymond Queneau, translation by James H. Nichols, Jr., edited by Allan Bloom. New York: Basic Books Inc (1969).
[4] G.W.F. Hegel, Phenomenology of the Spirit, translation by A. V. Miller, analysis by J. N. Findlay. Oxford: Clarendon Press (1977), p. 112–8.
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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