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How Artificial Intelligence Shapes Who We Become

How Artificial Intelligence Shapes Who We Become

by Meike Hinnenberg | May 19, 2026 | Impuls series, Leadership and AI, Leadership in the digital transformation | 0 comments

How Artificial Intelligence Shapes Who We Become

Meike’s Reflections on Artificial Intelligence

Do you prefer to listen to this article? Click below to access our AI-generated audio version!

How Artificial Intelligence Shapes Who We Become

Meike’s Reflections on Artificial Intelligence

This is the forth part of MDI’s leadership architect Meike Hinnenberg’s new blog reflection series on AI. You can find the previous parts on our blog site! Stay tuned for more 🙂

How Artificial Intelligence Shapes Who We Become | Lines of Subjectivation

Maybe the most certain of all philosophical problems is the problem of the present time and of what we are in this very moment. (Michel Foucault: The Subject and Power) The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are undistinguishable from it. (Marc Weiser: The computer for the 21st Century)

The Hidden Labor Behind AI – A Berlin Exhibition

May 2026 in Berlin; spring has arrived. Light enters the room, and a quiet warmth settles in the apartment. The window is slightly open. I sit at the same table. Again, coffee – dark, dense, almost earthy in its intensity – fills the room.

While I follow its taste, while I continue working on this text, fragments of the exhibition The Language of Soil, which I visited earlier today, return. In this installation, the artist Anna Ehrenstein directs attention to platform workers in Nairobi, Congo, and Egypt – workers who sustain what is called Artificial Intelligence, and for whom Jeff Bezos once used the phrase “artificial artificial intelligence.”

Employed by outsourcing partners of Big Tech companies, their work remains largely unseen. The exhibition brings together interviews, workshops, and collective narrative formats in a 220° video installation, rendering perceptible the “interplay of (post-)colonial continuities, global economies, and the labor that underpins algorithmic systems“.

Voices from the Invisible Infrastructure

I am watching. I am listening. A father, closely connected to his family, now estranged from his daughter; her presence recalls the CSAM he is required to review and label each day. A woman working as a content moderator, checking and filtering visual material from an armed conflict that has also affected her own family, from whom she has had no sign of life. Syrian refugees, shaped by war, displacement, and flight, now labeling sequences of images – war, torture, suicide, rape, child abuse – images that do not remain external, but return.

Micro-Tasks, Micro-Pay

Payment is calculated per micro-task. Ten, twenty, twenty-five cents. Sometimes less. It accumulates slowly, often to less than two dollars per hour. Contracts remain short. They are extended or they are not. Refusal is possible, but not without consequence. Continuity depends on compliance. The work moves; the workers remain replaceable.

Where Do I Stand in This Formation?

As I follow this movement of memories, questions begin to insist: Where am I located in the formation I am trying to describe? How am I affected by it? How do I relate to it?

Has something like an exterior position been gained through thinking the dispositif of Artificial Intelligence, through its lines of visibility and enunciation? Is this now a stable place from which I can speak with a certain autonomy, perhaps even judge it? Or is this, too, only a movement within the same singular and historically situated configuration?

The Illusion of the Exterior Subject

It would be tempting to assume that what has come into view simply persists as knowledge at my disposal, while I myself remain unaffected. Such a perspective preserves the familiar figure of an exterior, self-assured subject and a stable reality upon which it acts by means of technology. And yet this assumption falters. If Artificial Intelligence is approached not merely as a set of tools but as a condition of world-disclosure, the situation becomes more complex.

If the preceding analysis marks a shift in the conditions of seeing and saying, if what appeared self-evident is shown to depend on structured exclusions, then this shift cannot be limited to the object. It implicates the position of the one who sees and speaks, and with it the conditions under which others remain unseen and unheard. What comes into view does not simply add itself to knowledge; it alters the field in which both subject and world take shape.

Foucault and the Making of Subjects

The man described […], whom we are invited to free, is already in himself the effect of a subjection much more profound than himself.

Michel Foucault’s understood his own work as an attempt “to create a history of the different modes by which, in our culture, human beings are made subjects.” (Michel Foucault: Subject and Power) We are not subjects prior to these processes. We are born into historically specific arrangements, dispositifs, within which we speak and are spoken about, see and are seen, act and are acted upon. Even if this idea is an affront to one’s ego, subjectivity does not precede these relations; it takes shape within them. Or, in a Deleuzian inflection: we are continually in processes of becoming-subject.

Lines of Visibility: Who Gets to Appear

If lines of visibility are conditions of perception – if they determine what can appear, in what form, and from which position – then they do not merely organize objects. They also distribute subjects: they situate them, relate them to one another, and define the positions from which something like a “self” can emerge within a given regime of visibility.

Lines of Enunciation: Who Gets to Speak

If lines of enunciation are conditions of sayability – if they determine who or what can speak, where agency is grammatically and conceptually placed, what can be said and in what form it becomes meaningful – then they also affect the subject. For those who speak are not exterior to these conditions.

They take shape within them. What can be articulated, and from which position it can appear as intelligible, does not simply structure discourse; it structures the one who speaks. Subjectivity emerges here not as origin, but as effect: as something formed within a field of available statements, distinctions, and attributions of agency.

To speak is therefore not only to express oneself, but to enter a space already organized in advance, to adopt positions, to repeat or displace existing formulations, to inhabit or refuse a grammar that distributes agency and responsibility. What appears as a self speaking is inseparable from the conditions of enunciation through which it becomes legible, both to others and to itself.

Lines of Enunciation: Who Gets to Speak

Lines of Subjectivation in the Dispositif of Artificial Intelligence

In a Deleuzian sense, lines of subjectivation do not designate identities or inner states. They are trajectories through which subjects are produced: ways in which beings are called into relation with themselves, assigned positions of responsibility, and made capable or incapable of acting, speaking or refusing. They are neither purely imposed nor freely chosen, but emerge in the interplay of practices, norms, and material arrangements.

Within the dispositif of Artificial Intelligence, such lines are not peripheral; they are constitutive of its operation. They do not merely run alongside technical systems but traverse them, linking infrastructures of computation with everyday forms of self-relation.

We are simultaneously involved in their production and their effects: by generating data, labeling and rating outputs, prompting and correcting systems, but also by adopting Artificial Intelligence as interface, infrastructure and environment. At the same time, we are produced through these same relations and practices – as users, data subjects, workers, experts, and objects of prediction.

The Figure of the User

One dominant line of subjectivation produces the figure of the user. Here, the subject is addressed as an interacting point within a system, defined through traces of behavior and patterns of response. Agency is not denied but redirected: it appears as choice within pre-structured environments, as optimization within given parameters. The subject becomes legible insofar as it is continuously translated into data, and governable insofar as it can be rendered comparable, measurable and adjustable.

The Subject as Data

A further line produces the subject as data itself. In this configuration, life is not primarily addressed as expression but as extractable material. Actions, preferences, and linguistic traces are transformed into features, categories, and probabilities. Subjectivity no longer precedes this process; it is retroactively assembled through classification. What one is becomes inseparable from what one can be made to count as.

The Invisible Worker

Another line concerns labor. Here, subjects appear as infrastructural operators of AI systems: annotators, moderators, raters, validators. Their work is essential yet structurally displaced from visibility. It appears only in functional form, as “human-in-the-loop,” as quality control, as correction, while the conditions of its production remain largely unacknowledged. Subjectivation takes the form of simultaneous centrality and erasure.

The Subject of Expertise

A further line produces subjects of expertise. Engineers, researchers, and ethicists are positioned as rational stewards of complex systems. Responsibility is localized at the level of technical decision-making, while broader political and economic structures recede into the background. In this way, agency is reorganized as competence, and critique is often translated into questions of design, optimization, or governance.

The Predictive Subject

Finally, a predictive line of subjectivation renders individuals as anticipatable entities. In domains such as policing, border regimes, or welfare systems, subjects appear as risks, scores, or probabilities. They are addressed not primarily in relation to what they do, but in relation to what they are expected to do. In this configuration, subjectivation operates in advance of action: it produces subjects through the pre-structuring of possible futures.

Alternative Practices: What the Dispositif Cannot Fully Capture

However, not all lines of subjectivation find equal conditions of existence within the dispositif of Artificial Intelligence. Alongside those described above that are actively produced and stabilized, there are others that remain structurally disfavored, forms of becoming-subject that do not easily enter regimes of datafication, optimization, or classification. These are not external to the field, but they appear as weak intensities within it, continually at risk of being neutralized or translated into more legible forms.

If lines of subjectivation traverse the dispositif in this way – if they produce us even as we reproduce them – then the question cannot be limited to which subjects are made possible, but must also address which remain difficult to sustain, and how this difference is lived. If they emerge in the interplay of practices, norms, and material arrangements, a further question arises: what other forms of becoming-subject might be opened through different practices? And which forms of self-relation do we, in turn, sustain or reinforce?

Alternative Practices: What the Dispositif Cannot Fully Capture<br />

Writing: From Struggle with Meaning to Selection Among Outputs

What is the difference between writing a text in the slow proximity of one’s own words – hesitating, revising, following a thought that resists formulation – and producing a text through a system that calculates probable continuations? What shifts in the relation to language, if expression no longer emerges from a struggle with meaning, but from selection among pre-structured possibilities? What kind of subject takes shape when writing becomes prompting, when articulation becomes navigation within a space of outputs already statistically composed?

What becomes of thought when it is no longer allowed to remain without immediate result? What changes if attention is not held in suspension – wandering, returning, lingering – but is continuously operationalized as input, as signal, as resource? What kind of self is formed when thinking is oriented towards an immediate answer, rather than toward the possibility of not yet knowing what it is that one thinks?

What happens to relation when conversation is displaced by mediation? When the effort to encounter another – through hesitation, misunderstanding, goodwill, care, kindness – is replaced by a system that purportedly anticipates, summarizes, or simulates response? What is lost when affect appears as something that can be retrieved on demand, rather than something that emerges in the unpredictability of presence?

What becomes perceptible when an artwork interrupts the smooth passage from image to category? When what is seen does not immediately resolve into recognition, but remains suspended – irreducible to function, resistant to immediate use? What kind of subject emerges in such a moment, in which perception is not yet captured by classification, and meaning does not stabilize into a single trajectory?

And what shifts when the figure of the “annotator” ceases to appear as function and becomes encounter? When the one who labels, filters, and corrects is no longer integrated as an invisible component of the system, but appears as a situated other, whose experience cannot be exhausted by the categories that depend on it and who makes a claim on us? What becomes unstable when this presence can no longer be fully translated into data, role, or task?

Points of Non-Coincidence: Where Other Trajectories Begin

These questions do not lead outside the dispositif. They do not restore an untouched subject prior to its formation. But they begin to indicate points at which its operations do not fully close, and thus sites at which what Waldenfels calls Antwortlichkeit becomes possible. For in each case, something remains that does not coincide with its capture: a hesitation in language, a surplus in perception, a resistance in relation, a remainder in the other that exceeds the roles through which they are made intelligible.

It is perhaps here – not beyond, but within these moments of non-coincidence – that other trajectories of subjectivation become thinkable. Not as stable alternatives, but as fragile deviations: ways of speaking, seeing, and relating that do not entirely align with the imperatives of calculation, prediction, and optimization, and that, precisely in this misalignment, keep the field from becoming fully closed and protect us from totalization.

Which Forms of Life Do We Sustain?

What these movements begin to make visible is a relation that resists simplification. We are not external to the dispositif we describe. We do not stand before it as sovereign subjects, capable of steering it from a position of independence. We are formed within it – through its lines of visibility, its regimes of enunciation, its processes of subjectivation. What we can see, what we can say, what we can become is never simply our own.

And yet, this does not exhaust the relation. For if we are shaped within these configurations, we are not only their effect. We participate in their continuation. We stabilize them through our practices, our repetitions, our forms of use. But precisely in this, a different possibility emerges: that what is reproduced can also be shifted. That even within the field that forms us, there are movements – hesitations, deviations, reconfigurations – through which other trajectories of subjectivation can be fostered.

Neither Determined Nor Free: A More Demanding Question

The question, then, is not whether we are determined or free. It is more demanding: which forms of life do we sustain through the ways we see, speak, and relate? Which subjects do we become when we align ourselves seamlessly with these systems – when we allow their operations to pass through us without resistance, when we accept their abstractions as sufficient descriptions of ourselves and others? And what becomes unavailable in this alignment: which forms of attention, of relation, of language, of responsibility begin to recede when they are no longer practiced?

Conversely, what might it mean to remain within these formations without fully coinciding with them? To inhabit their structures, but not to let them settle entirely into what we take ourselves to be? If there is no outside from which to act, then intervention must take place within the very relations that bind us – within the practices through which subjectivity is continuously produced and reproduced.

Toward the Distribution of Forces

It is here that another dimension comes into view. For the dispositif does not only organize what can be seen, said, and become; it also distributes forces. It channels, intensifies, and stabilizes them. It produces asymmetries, accumulations, and thresholds. To understand how these movements hold, how they persist, and how they might be altered, it becomes necessary to follow not only lines of visibility, enunciation, and subjectivation, but also the lines along which forces are arranged, transmitted, and transformed.

Meike Hinnenberg

Meike Hinnenberg

Learning & Development Architect

Meike Hinnenberg is a trainer and Learning and Development Architect at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

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What AI Shows You — and What It Doesn’t

Meike’s Reflections on Artificial Intelligence

Do you prefer to listen to this article? Click below to access our AI-generated audio version!

What AI Shows You — and What It Doesn’t

Meike’s Reflections on Artificial Intelligence

This is the third part of MDI’s Leadership Architect Meike Hinnenberg’s reflection series. You can find parts I and II on our blog page! Stay tuned for more parts to come 🙂

What Leaders See — and What Stays Hidden

As lines of enunciation organize the field of sayability, lines of visibility organize the field of perception. They are conditions of seeing that circulate within a dispositif, determining what can appear as an object, what form something must assume to become perceptible, from which vantage point it is illuminated, and what must recede into shadow for this illumination to hold. A line of visibility is thus a historically specific regime of seeing: a distribution of light and darkness that brings certain realities into presence while casting others into the shadow on which this presence depends.

Michel Foucault traced a transformation of regimes of seeing when he showed how sovereign power, once staged in the blinding spectacle of public punishment, gave way to disciplinary power embedded in architectures of continuous observation. What changed was not only the exercise of power, but the arrangement of the visible itself: spectacle yielded to surveillance, and visibility ceased to be an event and became an environment.

When we turn to the dispositif of Artificial Intelligence, how is the terrain of perception arranged, and which lines of visibility organize this regime of seeing?

How AI Presents Itself: Four Lines of Visibility

Line 1: The Interface — Intelligence as Performance

One line runs along the interface. Here, Artificial Intelligence appears as responsiveness without delay: dashboards refresh in real time, prompts yield fluent replies, and systems demonstrate competence in carefully staged demonstrations. Intelligence presents itself as performance – immediate, seamless, self-contained. What this line establishes is the perceptible surface of operation: output as event, response as evidence. The system comes into view precisely where it answers.

Line 2: Abstraction — Structure Without Weight

A second line follows the path of abstraction. Models are described by architectures, parameters, and accuracy scores; performance is reported numerically, and improvement is recorded as optimization. Intelligence becomes legible as a formal property, detached from situation and substrate. What comes into view is structure without weight, reasoning without environment, cognition without bodies.

Line 3: Scale — Expansion Beyond Intervention

A third line unfolds at the scale level. Artificial Intelligence appears as planetary infrastructure: billions of parameters, global deployment, continuous operation across time zones and continents. Its magnitude exceeds ordinary perception. Scale produces its own regime of visibility: what emerges is inevitability, momentum – expansion beyond intervention.

Line 4: Neutrality — When Calculation Replaces Judgment

A fourth line organizes neutrality. Artificial Intelligence appears as objective and data-driven. Its operations present themselves as technical processes rather than situated decisions. Judgment appears as calculation; outcomes appear as results rather than interventions. What appears is a world cleansed of politics, in which a large part of responsibility is shifted to the system, and context is leveled out. Neutrality here is not simply descriptive; it is productive, structuring perception so that harm, choice, and embedded values recede into shadow, while the surface of computation shines as transparent and self-evident.

The Illusion of Autonomy — and What It Conceals

The Illusion of Autonomy — and What It Conceals

Together, these lines compose a regime of seeing in which Artificial Intelligence presents itself as autonomous, immaterial, and inevitable. What appears is intelligence without remainder. Yet regimes of visibility do not simply reveal; they arrange revelation. They produce perceptibility by structuring what cannot be seen at the same time.

By citing Amazon’s crowd-working platform “Mechanical Turk” and recalling its historical namesake – the ostensibly chess-playing automaton constructed by Wolfgang von Kempelen in 1769 – Kate Crawford traces such a line of visibility and its fracture at once. The figure of the seemingly chess-playing automaton, dressed in Ottoman robes and seated before a wooden cabinet topped with a chessboard, appeared to deliberate and decide on its own. When its doors were opened, intricate gears and clockwork were revealed, offering the reassuring image of mechanical reason. Yet this visibility was carefully staged: concealed within the cabinet, a human operator followed the game in darkness, shifting position as panels were displayed to sustain the illusion. What appeared to be autonomous intelligence was, in fact, the surface effect of a hidden human presence.

In recalling this machine, Crawford renders perceptible a continuity that the contemporary name Artificial Intelligence works to obscure: the appearance of autonomy sustained by distributed, hidden work. That Amazon names its global digital labor platform after this deceptive automaton – an illusion built not only on concealment but on the orientalist staging of a racialized figure – is at once cynical and involuntarily revealing. The name preserves, like a fossil in language, a longer history in which intelligence appears at the surface while the labor that sustains it is displaced elsewhere, often across colonial and postcolonial geographies, into bodies that remain structurally unrecognized.

By shifting the vantage point, she intervenes in the regime of seeing itself. What appeared seamless reveals fracture lines; what appeared autonomous reveals dependence. The interface no longer appears as an origin but as a surface.

Behind the Surface: Labor, Matter, and Geography

Behind the abstraction of the model, material infrastructures come into view. Data centers operate at an industrial scale, consuming vast quantities of electricity and water to sustain continuous computation. Their servers depend on the conflict minerals tin, tantalum, tungsten, gold, and rare earth elements extracted from landscapes marked by toxic residues and ecological exhaustion. The expansion of machine learning contributes to growing streams of electronic waste, measured in millions of tons. What appears as immaterial intelligence is inseparable from extraction, depletion, and heat.

Behind the neutrality of data, processes of selection and classification emerge. Machine learning systems depend on vast datasets assembled through human activity: images segmented, sentences evaluated, gestures annotated. Millions of crowd-workers across the world perform these tasks, often for minimal compensation, clicking through thousands of items in repetitive sequences that train systems to see. Content moderators encounter violence, pornography, and degradation so that others encounter sanitized outputs. Their perception becomes part of the system’s sensory apparatus, even as their presence disappears from its representation.

Behind the scale of the system, a geography becomes perceptible: supply chains stretching across continents, data centers situated near sources of energy and water, labor distributed across time zones, extraction zones, and processing facilities linked in continuous operation. What appears as a unified technical object reveals itself as a convergence of environments, infrastructures, and bodies.

Seeing Otherwise: From Output to System

Artificial Intelligence does not simply appear differently once these conditions are seen. The regime of visibility itself is exposed as constructed. The lines that once produced the appearance of autonomy are revealed as arrangements that separate surface from substrate, output from labor, intelligence from matter.

To follow these fracture lines is not merely to see more, but to see otherwise. Intelligence no longer appears as an isolated technical achievement, but as the visible surface of relations extending downward into the earth, outward across the planet, and inward into the perceptual and cognitive labor of others. What had appeared as a self-contained system becomes perceptible as a dispositif: an arrangement that produces both the object and the subjects who sustain it, while organizing the conditions under which this production can be seen or remain unseen.

 

Meike Hinnenberg

Meike Hinnenberg

Senior Leadership Architect

Meike Hinnenberg is a trainer and Senior Leadership Architect at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

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Leading in the Age of AI: How AI Discourse Shapes Responsibility and Power

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Meike’s Reflections on Artificial Intelligence

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Chapter II – Lines of Enunciation

By distinguishing Artificial Intelligence as an industrial apparatus from machine learning as a set of practices, Crawford performs a gesture of ethical resistance. She interrupts the smooth circulation of the term, exposing Artificial Intelligence not as a settled object but as a line of enunciation – and in doing so opens a different path through the field.

In Deleuze’s sense, lines of enunciation are neither utterances nor texts, neither speakers nor doctrines. They are conditions of sayability that circulate within a dispositif, delineating what can be named, thought, and acted upon.

Most often, lines of enunciation remain invisible precisely because they work so well. They do not appear as commands, norms, or ideologies; they slip into language as description, into grammar as agency, into names that seem to pre-exist the things they gather. They do not ask to be believed: one does not need to agree with a line of enunciation to use it.

How AI Discourse Shapes Reality and Responsibility

These lines are not primarily repressive; they are productive. They bring objects into being (AI), generate problems (alignment, bias), propose solutions (ethical AI), and sketch futures (AI will transform everything). A critique that treats them merely as false representations, therefore, misses the point. Their force lies not (only) in what they conceal, but also in the realities they help bring into existence.

Understanding this productivity – and, with it, understanding technology not simply as an instrument to be used wisely but as a mode of world-disclosure – is essential, especially with regard to the question of responsibility. We are not outside the dispositif. We are not independent of the social, technological, and linguistic structures through which the world becomes accessible to us. Our relation to ourselves and our access to reality are shaped within them.

How AI Discourse Shapes Reality and Responsibility

Response-ability

What is therefore required is not the illusion of standing beyond these structures, but the effort to understand how the dispositif operates: what realities it brings into being, how we are positioned within it, and how we might relate to it, act within it, or even shift its lines. For now, being independent of these conditions does not mean we would not be responsible. Responsibility may instead take the form that Bernhard Waldenfels calls Antwortlichkeit (response-ability): a responsiveness to what addresses us before we fully understand it, a response that can never entirely catch up with what precedes it.

Let us follow this path a little further to see how it shapes the field. If we turn, for example, to the website of the OECD, we read:

AI holds the potential to address complex challenges from enhancing education and improving health care, to driving scientific innovation and climate action. However, AI systems also pose risks to privacy, safety, security, and human autonomy. Effective governance is essential to ensure AI development and deployment are safe, secure and trustworthy, with policies and regulation that foster innovation and competition.

How Discourse Limits What Can Be Questioned

The OECD text speaks in a language in which Artificial Intelligence already acts: it drives, addresses, and enhances. Politics enters only later, as a moderating hand. In this grammar, Artificial Intelligence appears as an agent capable of benefit or harm, yet never itself fundamentally in question. Within this frame, one may debate safety, trust, and regulation, but more structural questions about extraction, power concentration, or the desirability of AI as such struggle to surface as relevant statements. The force of such enunciation lies not in persuading belief, but in pre-structuring the field of speech itself.

By distinguishing Artificial Intelligence as an industrial apparatus from machine learning as a set of practices, Crawford renders such a line of enunciation visible and thereby intervenes in the field of sayability. By questioning whether Artificial Intelligence is even artificial or intelligent, she shows that what appeared as an autonomous historical actor is in fact a constructed convergence: an industrial apparatus, a planetary infrastructure grounded in colonial continuities and distributed human labor.

What material and historical infrastructures make AI possible?

By shifting the question from “Is AI fair?” to “What material and historical infrastructures make AI possible?”, the unity of the term Artificial Intelligence fractures like the ice layer of a winter-frozen lake.

And another layer of the acoustic landscape begins to surface: the breathing of ventilation shafts, the murmur of moving earth, the metallic heartbeat of drills, the slow chewing of stone by machines, the deep-throated hum of engines, the churning of propellers folding the sea behind them, the wind threading through stacked containers, a quiet choreography of clicks and pauses labeling one image after another, bodies trying to keep time with logistics, repetition measured in beeps, the percussion of parcels in transit – a subdued sonority of work that must remain unnoticed, a human rhythm beneath the supposedly smooth surface of automation.

Meike Hinnenberg

Meike Hinnenberg

Learning & Development Architect

Meike Hinnenberg is a trainer and Learning and Development Architect at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

  • LinkedIn

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by Meike Hinnenberg | Mar 11, 2026 | Impuls series, Leadership and AI, Learning Transfer | 0 comments

AI Ethics for Leaders: Why Context and Critical Thinking Matter More Than Ever.

Meike’s Reflections on Artificial Intelligence

Do you prefer to listen to this article? Click below to access our AI-generated audio version!

AI Ethics for Leaders: Why Context and Critical Thinking Matter More Than Ever

Meike’s Reflections on Artificial Intelligence

This is the first part of a new AI blog series by our Senior Learning Architect, Meike Hinnenberg. Read her thoughts below and stay tuned for more parts to come!

The history of mining, like the devastation it leaves in its wake, is commonly overlooked in the strategic amnesia that accompanies stories of technological progress. […] As San Francisco drew enormous wealth from the mines, it was easy for the populace to forget where it all came from […] Just like the mines that served San Francisco in the nineteenth century, extraction for the technology sector is done by keeping real costs out of sight.

(Kate Crawford: Atlas of AI)

[…] – that is, as I said, the use of active forgetfulness, a porter at the door, so to speak, a custodian of psychic order, quiet, etiquette. From that we can see at once how, if forgetfulness were not present, there could be no happiness, no cheerfulness, no hoping, no pride, no present.

(Friedrich Nietzsche: The Genealogy of Morals)

It is immediately by deviating from equilibrium of animals, from tranquility – a departure engendered by the fault of Epimetheus – that mortals occur. Before the deviation, there is nothing. Then the accidental event happens, the fault of Epimetheus: to have forgotten humans. Humans are the forgotten ones. Humans only occur through their being forgotten; they only appear in disappearing.

(Bernard Stiegler: Technics and Time, 1)

Introduction

It is the beginning of February 2026 in Berlin; shortly after the big blackout in southern Berlin; shortly after several deaths and devastating losses in southern Europe in the wake of Storm Harry; shortly after a judge of the International Criminal Court was sanctioned by the United States; shortly after a cold wave driven by a destabilized jet stream claimed lives in the U.S.; shortly after deadly storms and floods across South and Southeast Asia left thousands displaced, hundreds dead and entire regions submerged; shortly after Russian strikes left thousands of households in Kyiv without heating while, almost in the same breath, the Ukrainian government entrusted the development of the namesake lithium deposit in the Kirovohrad region to TechMet – an Irish company partly backed by the U.S. government’s Development Finance Corporation and the U.S. financial firm Rock Holdings – drawing the country into the competitive circuitry of the global battery economy; shortly after …

It is the beginning of February 2026 in Berlin, and the air outside is sharp with cold. Inside my aging apartment, warmth gathers despite the leaky windows. The radiators whisper with gas that has traveled from Norway, the Netherlands, Belgium, the United States, or Azerbaijan, holding back the easterly winds for now. I sit in my kitchen. Milk warms slowly on the stove; coffee – probably carried from Africa, Asia, or South America – rises in the espresso pot and fills the room with its wonderful, familiar scent.

I open my computer, assembled through supply chains that fade into opacity, dependent on minerals, infrastructures, and forms of labor that rarely enter the frame. I open it to read the news and to begin research for a series on AI I am planning to write – aware, somewhere in the background, that even a question posed to a machine draws on energies and resources far beyond the gesture of typing it.

From this kitchen table, my orientation turns toward two recent points of departure: Kate Crawford’s Atlas of AI and her video essay  Mapping Empires.

Meike’s Reflections on Artificial Intelligence

Chapter I – The Dispositif of Artificial Intelligence

In Atlas of AI, Kate Crawford peels back the layers – conceptual and material alike – that have accrued around what we have come to call Artificial Intelligence, revealing a construct whose hidden assumptions we inhabit daily, largely unaware of the consequences they set in motion.

Her analysis unfolds as a kind of cartography, recalling Gilles Deleuze’s notion of the dispositif: a field traced by lines of visibility and invisibility, by grand narratives and what they render mute, by modes of subjectivation, fractures, continuities, and crossings – lines that intersect and mutate without ever solidifying into a universal structure.

Technologies of Domination

To draw nearer to this dispositif, to traverse its terrain, Crawford adopts the figure of the atlas. The atlas makes palpable the material and spatial dimensions condensed under the name Artificial Intelligence, even as these very conditions – its infrastructures, labors, and extractive foundations – are frequently displaced from view. 

At the same time, it affirms the situatedness of all knowledge: each map offers only a partial orientation, shaped by choices of scale, emphasis, and omission. In this convergence of aesthetic visual ordering and epistemic claim, Crawford shows that mapping is not a neutral description but a creative and political act.

Even as Crawford insists on the partiality of her own account – presenting her work as an invitation to follow emerging paths, to linger in zones of disparity, and to witness how particular perspectives come into being – she remains attentive to the darker history of the atlas itself. For atlases have never been innocent instruments of orientation alone; they have also served as technologies of domination.

The God’s Eye View

It is precisely this ambivalence that grounds her central hypothesis: that under the name Artificial Intelligence, such cartographic power is once again being mobilized. Along familiar routes of colonial exploitation and driven by an ambition no longer to draw an atlas of the world but to stand in for it, this impulse recentralizes power within the field of AI, advancing claims of universality and totality that rest on extractive regimes.

In doing so, it seeks to translate movement, communication, and labor into data, rendering the world legible from what Crawford describes as a supposedly objective, centralized “God’s eye view”.

Deterritorialization and Reterritorialization

The atlas itself operates through a double movement of what Deleuze would call deterritorialization and reterritorialization. While its cartographic abstractions unsettle fixed spatial relations and open new pathways of thought, they also carry a long-standing capacity for capture and domination.

Crawford’s intervention can be read as an attempt to amplify the deterritorializing potential of the atlas, even as she meticulously traces the reterritorializing operations to which colonialism and contemporary AIrepeatedly return.

The Ethical Task

Dispositifs, as singular and historically situated configurations, neither begin from nor arrive at the universal. And yet, in their operation, they repeatedly give rise to gestures of universalization and ambitions of totality, effects that emerge from within rather than from any transcendent ground. It is for this reason that such claims need to be traced genealogically, followed back along the paths through which they come to assert themselves.

Against this horizon, the ethical task is not to oppose totalization with a quasi-moralistic counter-universal, but to remain attentive to these movements as they unfold: to introduce shifts, frictions, and alternative pathways that keep the field open.

Ethical resistance, if it is to remain worthy of the name, must itself resist the temptation of ideology, universalization, and closure. For wherever resistance hardens into morally indignant certainty or ideological form, it risks reproducing – under the guise of critique – the very logics of universalization and reterritorialization it set out to unsettle.

Meike Hinnenberg

Meike Hinnenberg

Learning & Development Consultant

Meike Hinnenberg is a trainer, Learning and Development Consultant, and Team Lead at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

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The Lasting Impact of Leadership Horizon – Meike’s Perspectives

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MDI’s Meike Hinnenberg shares her reflections on this year’s Leadership Horizon and what it means to be a leader in today’s climate. Read this blog article to gain insight into her perspectives!

The #Leadership Horizon took place over a month ago.
And yet – it still lingers in my mind.

In an age where the average attention span has dropped to just 47 seconds (down from 2.5 minutes in 2004, as #GloriaMark describes), that’s not nothing.

So why does this event stay with me?

Certainly because of the valuable insights into current developments in #AI. But more than that:

It was the multi-perspectivity and the rare, dialogical space between those perspectives that left a lasting impression.

This wasn’t a sales pitch. Nor an ideologically charged debate. It was a shared space to explore the tension between

  • inspiration
  • rapid development
  • uncertainty
  • and the sheer unpredictability of a technology that both fascinates and challenges us.

Leadership and Multiperspectivity

In today’s public discourse, I often miss this kind of space. Instead, I encounter ideological simplifications that seem to fuel polarization, reducing complex issues to binary narratives. This tendency not only falls short of doing justice to the complexity of our interconnected world but also obstructs meaningful responses and undermines the solidarity we so urgently need.

In contrast, spaces like the Leadership Horizon – where different perspectives are not just tolerated but invited – feel like rare and necessary counterexamples. This event inspired me on a deeper level, much like the writings of #KlausEidenschink on conflict, polarity, and the question of the good within the evil.

It reminded me that true dialogue does not seek harmony at any cost or resolution too quickly, but stays with the tension, holds the paradox, and allows transformation to unfold from within it.

Leadership and Multiperspectivity

A Core Leadership Competence

This ability to hold tension and to stay with complexity is not just useful – it’s essential for us as leaders, because in leadership, we constantly navigate ambiguity and contradiction.

And especially now – as we face various disruptions and questions around systemic transformation, diversity etc. – we don’t need more polarization. We need the ability to manage polarities. To lead across differences. To hold both clarity and contradiction.

I know from experience how easy it is to ask for this complexity tolerance – and how hard it is to practice it. Especially under pressure, our systems revert to simplification, control, and reactivity.

That’s why this is not just about mindset – but about #conscious leadership and about creating spaces of real dialogue, where perspectives can challenge and transform us and where we remain generous in our shared human finitude.

What helps you create those spaces in your organization – where not just alignment, but true dialogue can emerge?

Meike Hinnenberg

Meike Hinnenberg

Learning & Development Consultant

Meike Hinnenberg is a trainer, Learning and Development Consultant, and Team Lead at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

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