
The digital space offers us worldwide, borderless, paperless, immediate reach, commerce and interaction with other people, cultures, markets and opinions. But the digital space has also downsides like fakes, control and distortion. The digital space consists of different digital tools that we can shape and design according to our needs and values. Do we have a concrete aim in what to achieve with the digital space, how it should work, and what rules are appropriate to guarantee freedom, fairness and trust?
In the latest of her Duet interviews, Dr Caldarola, editor of Data Warehouse as well as co-author of Big Data and Law, and Dr Hallensleben discuss possible designs for our digital space.
Dr Hallensleben, what opportunities does the digital space offer us?
Dr Hallensleben: Before delving into details, I believe there is a fundamental opportunity that often gets overlooked.
The digital space is something we fundamentally shape and create as humanity and society. We possess an immense degree of control over its structure and function.
I argue that this opportunity is neglected because a narrative of inevitability often surrounds AI and other digital topics. For instance, phrases like ‘technical progress is moving in a certain direction,’ ‘a breakthrough has occurred,’ ‘AI is progressing rapidly,’ or ‘digital platforms now enable frictionless trade in mobility or other sectors’ are common. The implicit assumption is that these developments simply happen, and everyone must react or conform, as if they were natural phenomena like weather or earthquakes that one can only adapt to or work around.
In reality, developments in the digital space are the result of human choices, some individual, some systemic made at national or large corporate levels. Ultimately, these are our choices, and they bring with them immense opportunities.
I wish we would make far greater use of these opportunities and design possibilities. My desire is for us to more frequently ask ourselves what kind of digital space we truly want. We are permitted to dream when it comes to this question. Chances are, it is feasible if a sufficient number of people desire it, and most of it is achievable within the digital space. This implies that an optimistic sense of agency is lacking, as is the courage to embrace that agency in many areas. I wish we would assert our opportunities to design the digital space by selecting and shaping our desired outcomes.
I am reminded of Victor Hugo’s thoughts concerning ideas:
‘Nothing is as powerful as an idea, whose time has come’
With regard to our conversation, I would like to add:
‘The time has come, what is the idea?’
Every medal has two sides. What risks do we face in the digital space?
One fundamental risk is the scalability of negative outcomes. If a digital business model emerges that is not constructive in the long run or has adverse side effects – for example, a business model offering content or a service in exchange for data, driven by auctioning user attention for advertising – this limited, data-driven business model can easily become global. If someone, somewhere, concludes that this is a profitable approach, it tends to spread globally unless there are obstacles, decisions, or regulations to prevent it. If feasible, such models propagate very quickly across the global digital space, and most models that have emerged this way carry inherent risks.
The second risk I want to highlight is the divergence of agency and accountability. In the physical world, if I perform an action, I can typically be held accountable for it. In the digital space, this is less clear-cut. As an example, the owners of large social media platform have plenty of agency in shaping their offerings but evade accountability to a significant degree…This is a highly relevant risk.
A third risk in the digital space is the ease with which power and control can concentrate. The digital space lends itself to the formation of monopolies simply because the cost of scaling from 10% to 100% of a user base, or even from 1% to 10%, is typically very small. In the physical world, scaling to a monopoly is far more difficult, especially to a global monopoly, which is almost impossible. The instruments originally developed for the physical space to prevent monopolies and dismantle cartels become more crucial and harder to enforce in the digital space, given the transnational or multinational nature of its entities and services. I believe one of the main risks is our assumption that the digital space will somehow achieve a happy market equilibrium on its own. In reality, it is far more fragile than the physical economy and requires much stronger attention to maintain that sweet spot where healthy competition thrives while preventing the emergence of monopolies. These are some of the inherent risks.
I also want to highlight another risk that is particularly important to me, which relates to the recent capabilities of artificial intelligence. By ‘recent,’ I refer not just to phenomena as new as ChatGPT, but to developments dating back to 2018 when deepfakes first emerged. This marked a moment when it became possible not only to fake every type of content but also to fake people. Now, a suite of AI technologies is available that allows us to manufacture convincingly deceptive ‘human beings’ in the digital space. The fundamental assumption that the people I interact with are real is no longer valid.
This is something that cannot happen in the physical world; if I meet someone face-to-face, I know they are a real person and a singular entity who cannot simultaneously be another person or pretend to be a hundred different people. It has become the new normal that when I encounter someone in the digital space, I don’t know if they are real. I don’t know if I’m wasting my time engaging with this ‘person’ because I might just be trying to convince a bot or build a relationship with one.
This undermines a fundamental element of society: the ability to trust interactions with another person. I would even go so far as to say that we risk losing the digital space as a viable place for socialising, conducting business, having discussions, and engaging in democratic discourse. When we reach a point where a significant percentage of participants are bots, or must be assumed to be bots, I would disengage, and we would approach the ‘dead internet’ model, a space where bots deceive other bots.
In summary, both the opportunities and risks are substantial and challenging. How can the digital space be designed to harmonise these opportunities and risks? You advocate for ‘digital trust’ and ‘digital integrity.’ What exactly do you mean by these terms?
Building on my previous responses, we must acknowledge that we are not merely facing issues with bots, deepfakes, or generative AI. Instead, we confront a fundamental crisis of trust within the digital space. We must address this problem at its foundational level, recognising that trust is an essential element for any functioning society. If we lose the ability to trust in the digital space, it becomes fundamentally uninhabitable, undermining the great promise it otherwise holds.
Let us define trust in this context. I like to illustrate it with a question I often ask people: ‘When were you born?’ Although they typically look quite astonished and politely respond, ‘Of course, I know when I was born,’ I then ask, ‘How do you know?’ It is a fact that I, as a newborn, was present during my birth. However, at that point in time, I have no recollection of the time, place, or circumstances of my birth. Instead, I trust my parents who told me that day was my birthday. Or I might trust my parents’ neighbours who told me that on a certain day, my parents returned from the hospital with me in their arms. Or I trust a person in City Hall who hands me a birth certificate with my name and birthday on it.
The point is, even for simple personal factual information, you must trust other people. That is why trust is fundamental. It is not solely related to the complexity that arises when people cannot understand the ‘black box’ of AI, the data flow of a business model, or the underlying technology of a digital event when accessing the digital space. It is simply connected to the fact that there are surprisingly few things we can personally and reliably verify ourselves.
Society cannot function without trust. This leads us to the question: How do we justify trust? Or, how do we justify being vulnerable? How can we accept not being able to verify everything, even when complicated and how do we justify trusting certain people even when we make ourselves vulnerable?
Returning to trust in the digital space, systems are technically highly complex, requiring us to trust our providers, browser manufacturers, device makers, and so forth. We need enabling technologies to help us justify this trust.
I would like to highlight two aspects that relate to the digital integrity and trust you mentioned in your question. There are three distinct types of trust: (a) trust that the counterpart is indeed a person and not a bot, (b) trust that the person is honest with me, and © the trust or degree of trust in the other person’s judgment.
We need tools to help us navigate this, given the myriad people we encounter online. First, tools that track our trust assessments. Trust is highly individual; the extent to which I trust someone differs from how much another person trusts the same individual. Conversely, knowing that you trust someone, and my trusting your judgment, might lead me to also trust that person. However, if I later get to know the other person myself and conclude for myself that this person is ‘full of air,’ my trust in your judgement might decrease. We all maintain an intuitive record of how much we trust others, and this is both individual and dynamic.
In the physical world, we manage to maintain all three types of these trust relationships in our minds because human beings are evolutionarily wired to handle such trusts through ‘gut feelings.’
In the digital world, however, this is insufficient. I believe that an enabling technology is needed to facilitate the record-keeping and tracking of our individual trust assessments, and to allow us to share them within our social circles.
Secondly, and even more importantly, we need an enabling technology for pseudonymous identities. I cannot discuss trust without discussing identity, because trust always involves another person building a track record in my eyes. I cannot make any trust assessment based on a single data point; I need multiple data points, either from my own exchanges and experiences with a person or from the experiences of others. It is always a series of data points, and I can only correlate them if the other person maintains a consistent identity, not varying identities. I don’t need to know their real identity, but I do need to recognise a person from one interaction to the next. We need privacy-protecting, pseudonymous identities that are singular per context. We do not need a single pseudonym to follow a person across the entire internet; that would be unwise, as it creates many vulnerabilities that could allow us to trace back to the real identity. That is not what we want. Instead, we need an identity per context, per platform, per forum, or whatever else.
Therefore, when discussing with someone in an online forum, I want to be sure (a) that the person is real and not a bot, and (b) that this person has only one account on this forum (or perhaps two or three, but certainly not hundreds or thousands of accounts).
Thus, that person needs to have an identity on the forum. No one needs to know their real identity, but a pseudonymous identity is necessary. The interesting aspect is that while this might sound ambitious, the protocols and even the technology already exist. This functionality is even integrated into ID cards in Germany and is partly described in the European eIDAS Regulation, though it is not currently being utilised.
On one hand, one could argue, ‘Oh, that is frustrating.’ But on the other hand, one could also argue, ‘Oh, great, we have a significant problem to solve, and we already possess the technology to do so. It’s merely a ‘roll-out problem.’
Do we still trust people and information in the digital space? AI, fake news, and similar phenomena hijack attention, distort democratic discourse, and complicate transparent markets. How would digital trust and digital integrity need to be implemented concretely to effectively and sustainably protect the digital space against attacks, distortions, and other threats?
This builds on my previous answer. The key term is avoiding distortion. To phrase it positively: the key is to create fairness. We are accustomed to the notion or principle of democracy, which is widely accepted to ensure fairness of representation: ‘One person, one vote.’
We now need a related principle, which I would call ‘One person, one voice,’ so that the attention, or the chance of gaining attention, is also fairly distributed.
You do not have an inherent right to be listened to, as others might conclude they are not interested or that a person is ‘sparkling lots of bullshit.’ However, everyone needs to have a fair chance to be heard. If people deploy armies of bots, that fundamentally destroys fairness. If I operate thousands of bots and you merely post as yourself, my opinions will receive a thousand times more attention and a thousand times more opportunity to be heard, which is fundamentally unfair. Therefore, we truly need fairness of attention.
To me, that is a far better approach than attempting to filter content to label certain things as fake or untrue. Addressing values is a much harder task because it requires significant moderation effort and robust governance structures, both city-wide and board-level.at constitutes true or not true.
A good starting point is to make sure that everyone that the same chance to be heard. That is by far the most important thing. I prefer this approach over filtering because it leaves opportunity for evolution. Many of the opinions that are mainstream today – things like equality between men and women, like continental drift in geology – started as fringe opinions against the received wisdom at the time. And yet over time these fringe opinions became mainstream. I think it would be very optimistic to assume that all of today’s mainstream opinions are perfect and the end of the evolution and that is all how it should be. That is a strange assumption. We have to assume that some of the opinions that appear fringe today will be gain traction over time and will become mainstream and accepted wisdom in the future, even though this probably only applies to a small proportion of these fringe opinions. We need to preserve the opportunity for society and humanity to evolve in that way.
Informational self-determination, democratic discourse, and fairness are values not universally shared across the globe. How do we achieve harmonisation and uniform global rules for stability and sustainability?
The short and flippant answer is certainly: ‘We don’t.’ I believe it is very healthy for the world to have a competition regarding the best system to live in. what is most economically and socially suitable. Through this competition, we might find some systems to be wrong or distasteful, and others appropriate or manageable. It is perfectly acceptable to promote the system we believe is best and to support people worldwide who are working towards it.
However, we cannot assume that the entire world will migrate to the system we consider best, even in our globalised world. To me, the best approach is to maximise the benefits of our system and make those benefits visible, effectively saying: ‘Look at how we live, our political system, our democratic system, society, humanity. See how effectively we create prosperity, ensure participation for everyone, accomplish decision-making processes, and achieve happiness.’ The most effective way to succeed in global competition is to put our values into practice and demonstrate what life is like within these values. This serves as a ‘walking advertising billboard’ for our system, values, and perceptions. Then, other societies might follow, or they might falter. Both outcomes are acceptable and must be acknowledged.
There is one exception to the principle of ‘live and let live and make the system attractive and work well’: situations where we lack clear territorial boundaries. This covers several aspects:
Firstly, it encompasses the entire aspect of sustainability and climate change, because we cannot allow, for example, Americans to ‘burn their country with oil’ if it harms the entire planet. Similarly, we cannot permit inhabitants in Brazil to destroy their forests without concern, as it damages essential elements of the planet on which we all live.
Second it covers the aspect of global platforms which are under the control of global companies that have size and revenues that are bigger than the money of many countries. Here again we cannot say “Live and let live”. Here we need to protect our national territories by regulating the market through laws like the European Digital Market Act or the European Digital Service Act. These are reasonably potent tools if enforced properly. It is certainly messy to draw lines of jurisdiction in the digital space. There is no way around it as long as the general ideas of what the digital space should look like start to diverge more and more. The challenge is to avoid the Chinese or Russian approaches where they have big fire walls and shut off the internet for its citizens by creating little islands. That does not correspond to our European mindset. The interaction with the rest of the world is for the Europeans important because we want to continue to interact, to be challenged, to be transparent. The task is to have borders and boundaries in some respect but not in others.
AI assurance and quality are also among your key interests. Does this concept obscure the requirements of the European AI Regulation? What is the relationship between AI assurance, digital trust, and digital integrity?
The approach to AI assurance, particularly the assurance of AI quality, is built upon the European AI Act. The AI Act primarily focuses on mitigating risks and establishes only a minimum threshold that must be met. In this sense, it is binary: either you comply, or you do not. This constitutes the baseline. However, it is not something that will create a functioning, vibrant, and competitive market. For example, if I examine the market for chatbot or face recognition systems, I can assume that any product I find is compliant with the law; otherwise, the vendor would be on ‘thin ice.’ Compliance doesn’t help me decide which product to buy. Similarly, from the vendor or manufacturer’s perspective, compliance with the EU AI Act cannot be used as a sales argument, nor does it help them address different market segments.
So, the question is, what do we actually need for a functioning and transparent market? I like to compare it with a very common and established example: purchasing a car. When I select a car, I consider various metrics (fuel consumption, boot space, crash test ratings, stopping distances, top speed, etc.). Depending on my use case and what I need the car for, I prioritise different aspects. It is crucial that I have metrics to prioritise and make an informed decision. This is how a transparent, competitive, and functioning market emerges, one that fosters innovation.
That is what we should also desire for the AI market. As long as the sole criterion is compliance, there will be no competition and, consequently, no market drive for innovation. Therefore, we need to elevate the description of relevant characteristics of AI systems (quality, performance, etc.) in a non-binary manner. It is insufficient to have metrics like ‘secure/insecure’ or ‘multilingual/monolingual chatbot.’ Multiple levels of security, linguistic capability, and other factors are necessary. Then, depending on my use case, I can make decisions according to my specific needs.
These types of use-case-specific, multi-level metrics are necessary to accurately express a system’s characteristics. Only then will we have the opportunity or rather, the consequence of a transparent, competitive, and innovative market that allows for trade-offs. I view quality assurance for AI as building upon compliance with certain risk-mitigating requirements.
Dr Hallensleben, thank you for sharing your insights on the opportunities and risks of the digital space and what shape it might need.
Thank you, Dr Caldarola, and I look forward to reading your upcoming interviews with recognised experts, delving even deeper into this fascinating topic.
