Humans in the Loop: AI, Labour, and the Politics of Representation in Digital Cultur

Algorithmic Culture and Cinematic Resistance

we attended a film screening organized by Dr. Dilip Barad sir, which turned out to be a thoughtful and engaging experience. The screening was not just about watching a movie, but about understanding its deeper themes, cinematic techniques, and social context. It encouraged us to observe characters, narrative style, visuals, and symbolism more critically. This activity helped me realize how films can be powerful texts that reflect culture, emotions, and human experiences. Overall, it was an insightful learning experience that combined entertainment with academic understanding.

Task 1 – AI, Bias & Epistemic Representation

 👉A Critical Reflection on Humans in the Loop

👉Introduction: Technology Is Not Neutral

In contemporary digital culture, Artificial Intelligence is often presented as objective, rational, and free from human prejudice. However, Humans in the Loop challenges this assumption by revealing how AI systems are deeply embedded within social, cultural, and political structures. The film critically examines the relationship between technology and human knowledge, arguing that AI does not simply process neutral data—it reproduces the biases, hierarchies, and power relations of the societies that create and sustain it.

Through a blend of documentary realism and reflexive cinematic techniques, the narrative exposes algorithmic bias as culturally situated rather than purely technical. It also interrogates epistemic hierarchies by asking: whose knowledge is recognized and legitimized within technological systems? Using concepts from film theory—particularly Apparatus Theory—along with ideas of representation, ideology, and power relations, this reflection explores how the film positions AI not as an autonomous intelligence, but as an extension of human ideology.

1. AI and Human Knowledge: The Illusion of Objectivity

The title Humans in the Loop itself is significant. It refers to a technical concept in AI development where humans supervise or train algorithms. However, the film expands this idea metaphorically, suggesting that humans are always embedded within technological systems—shaping, correcting, and influencing them.

The narrative presents AI systems that are trained on large datasets. At first glance, these datasets appear neutral and comprehensive. Yet the film gradually reveals that the data reflects specific cultural assumptions and dominant social perspectives. This directly challenges the myth of technological objectivity.

From a film studies perspective, this aligns with the idea that representation is never neutral. Just as cinema constructs meaning through framing, editing, and selection, AI constructs “knowledge” through data selection and classification. Both are mediated systems. The camera lens and the algorithm function similarly—they filter reality rather than reflect it transparently.

The film visually reinforces this idea through scenes showing workers labeling images or moderating content. These workers often belong to marginalized socio-economic backgrounds, yet they are responsible for shaping the “intelligence” of AI systems used globally. This creates a striking contrast between those who build the system and those who benefit from it.

2. Algorithmic Bias as Culturally Situated

One of the central arguments of the film is that algorithmic bias is not merely a coding error or technical flaw. Instead, it emerges from cultural context.

The narrative provides examples where AI systems misidentify faces, misclassify identities, or reinforce stereotypes. These biases are shown to stem from training data that overrepresents certain demographics while excluding others. This demonstrates that AI reflects existing social inequalities.

Using the concept of ideology from film theory, we can understand this more deeply. Ideology refers to the dominant belief systems that shape how society understands reality. In cinema, ideology influences which stories are told and whose perspectives are centered. Similarly, in AI systems, ideology influences which data is prioritized and which experiences are erased.

The film exposes how technological systems privilege Western, male, and upper-class knowledge structures. By doing so, it suggests that AI does not simply “learn” from data—it internalizes cultural power structures.

Through subtle editing and juxtaposition, the film highlights the contradiction between corporate claims of neutrality and the lived experiences of workers and users affected by biased systems. The visual structure of the film mirrors this tension: polished technological imagery is contrasted with intimate human labor scenes. This stylistic choice reinforces the idea that bias is socially produced.

3. Epistemic Hierarchies: Whose Knowledge Counts?

A key concept explored in the film is epistemic hierarchy—the ranking of knowledge systems according to power.

In technological systems, certain types of knowledge are considered legitimate: statistical data, machine-readable inputs, corporate metrics. Other forms of knowledge—local experience, cultural nuance, emotional understanding—are often ignored.

The film shows how human data annotators correct AI systems when they make mistakes. However, these workers rarely receive recognition or authority. Their knowledge is essential but invisible. Meanwhile, corporate executives and developers are publicly celebrated as innovators.

This dynamic reflects broader power relations. Drawing from cultural theory, power determines whose voice is heard and whose is silenced. The film subtly critiques global digital capitalism by revealing how knowledge from the Global South is exploited but not valued equally.

Through interviews and observational footage, the film constructs a counter-narrative. It shifts attention from the glamorous image of AI innovation to the hidden labor behind it. This narrative strategy challenges epistemic hierarchies by foregrounding marginalized knowledge.

In this way, the film becomes an act of representational resistance. It gives visibility to those who are usually excluded from technological discourse.

4. Apparatus Theory and Technological Mediation

Apparatus Theory argues that cinema is not neutral—it shapes viewers’ perception through its technological structure. The camera, editing system, and screening environment influence how meaning is produced.

Humans in the Loop can be analyzed through this theoretical lens. Just as cinema operates through an apparatus that constructs ideology, AI operates through technological systems that construct knowledge.

The film self-reflexively mirrors this idea. By showing screens within screens—workers looking at digital interfaces, algorithms processing images—it reminds viewers that all knowledge is mediated. There is no pure, unfiltered reality.

The cinematic apparatus and the algorithmic apparatus function similarly:

• Both frame reality.

• Both exclude certain elements.

• Both reinforce dominant perspectives.

By drawing this parallel, the film suggests that technology is not separate from culture. Instead, it is a cultural product shaped by power relations.

5. Representation, Power, and Global Inequality

Representation is central to both cinema and AI. In film studies, representation concerns how groups, identities, and realities are portrayed. In AI, representation concerns how data categories define people and experiences.

The film shows that when certain communities are underrepresented in datasets, they are misrepresented by AI systems. This has real-world consequences—misidentification, discrimination, and exclusion.

Through careful narrative structure, the film critiques global inequality. Workers from economically disadvantaged regions contribute to training AI systems that primarily benefit wealthy corporations and consumers. This reveals a neo-colonial dynamic within digital capitalism.

The power imbalance is not only economic but epistemic. Those who control the algorithm control the definition of truth. This connects to Michel Foucault’s idea that knowledge and power are intertwined—knowledge production is a form of control.

By exposing these dynamics, the film encourages viewers to question the ideology of technological progress. It asks whether innovation truly serves humanity or reinforces existing hierarchies.

6. Human Agency: Resistance Within the System

Despite its critical tone, the film does not present humans as passive victims. Instead, it emphasizes agency.

The “human in the loop” is not only a technical requirement but also a metaphor for ethical responsibility. The film suggests that human intervention can challenge bias, demand accountability, and reshape technological systems.

Moments where workers question guidelines or express discomfort reveal cracks in the system. These scenes are significant because they disrupt the narrative of total technological control.

From a theoretical standpoint, this aligns with the idea that ideology is never complete—there is always space for resistance. The film becomes a political intervention by making invisible labor visible.

Task 2 — Labor & the Politics of Cinematic Visibility

👉Invisible Hands, Visible Screens: Labour in Humans in the Loop

Introduction: Making the Invisible Visible

In the age of Artificial Intelligence, technology is often imagined as automated, efficient, and independent of human intervention. However, Humans in the Loop disrupts this illusion by revealing the vast network of hidden human labour that sustains AI systems. The film focuses on data annotators—workers who label images, moderate content, and train algorithms—whose labour remains largely invisible in dominant technological narratives.

Through its visual language and narrative structure, the film critically examines labour under digital capitalism. Using insights from Marxist and Cultural Film Theory, along with Representation and Identity Studies, this reflection explores how the film visualizes invisible labour, critiques its commodification, and challenges viewers to reconsider how society values marginalized work.

1. Visualizing Invisible Labour: Screens, Silence, and Repetition

One of the film’s most powerful strategies is its attention to the visual representation of labour. Labelling work, which usually takes place behind computer screens in isolated spaces, is brought to the forefront of cinematic attention.

The camera often lingers on close-up shots of workers’ faces illuminated by screens. The blue light becomes symbolic—it suggests both connection to global networks and isolation within digital systems. Long takes of repetitive clicking, scrolling, and tagging emphasize the monotony of the work. Unlike traditional depictions of physical labour in factories or fields, this labour appears sedentary yet mentally exhausting.

From a Marxist perspective, this repetition reflects alienation. Workers do not see the final product of their efforts; they contribute fragmented tasks to a vast corporate machine. Their work is reduced to data points, detached from creativity or ownership. The film’s slow pacing mirrors this experience, allowing viewers to feel the temporal weight of repetitive digital labour.

Silence is another important visual element. Many scenes lack dramatic background music, making the clicking of keyboards and mouse buttons more prominent. This sonic minimalism reinforces the idea that this labour is unrecognized and uncelebrated. The absence of spectacle becomes a political statement: what society ignores, cinema can make visible.

2. Emotional Experience of Digital Labour

Beyond physical representation, the film highlights the emotional toll of labelling work. Data annotators are often required to moderate disturbing or violent content, yet they remain invisible within public discussions about AI.

The film captures subtle emotional expressions—fatigue, discomfort, anxiety—without dramatizing them excessively. These restrained portrayals make the emotional burden more realistic. Workers describe strict guidelines, performance metrics, and the pressure to maintain productivity. This connects to digital capitalism’s demand for efficiency and measurable output.

Through interviews and observational footage, the film demonstrates how emotional labour becomes commodified. Workers must regulate their feelings while engaging with sensitive material. Their mental health is secondary to corporate goals. This aligns with Marxist Cultural Theory, which argues that capitalism commodifies not only physical effort but also human emotion and time.

The visual framing reinforces this critique. Workers are often shown within confined spaces—small rooms, cubicles, or domestic environments—highlighting how global technological systems penetrate private life. The boundaries between home and workplace blur, suggesting how digital capitalism extends control into everyday existence.

3. Cultural Valuation of Marginalised Work

A central theme in the film is the unequal cultural valuation of labour. While AI developers and tech entrepreneurs are celebrated as innovators, data annotators remain anonymous and underpaid.

From a Marxist lens, this reflects class hierarchy within production systems. Those who design and own the technology accumulate prestige and capital, while those performing repetitive labour remain economically and socially marginalized. The film exposes this contradiction by juxtaposing corporate narratives of innovation with the lived realities of workers.

Representation and Identity Studies further deepen this analysis. Many of the workers depicted belong to marginalized communities—economically disadvantaged, often from the Global South. Their identities intersect with their labour positions. The film subtly suggests that global digital capitalism relies on these identities, yet simultaneously erases them from recognition.

This invisibility is ideological. Society values intellectual and creative labour more highly than repetitive or service-based labour. By focusing on labelling work, the film challenges this hierarchy and asks viewers to reconsider what counts as “skilled” or “important” work.

Cinematically, the act of giving screen time to these workers becomes a form of symbolic revaluation. The film counters cultural narratives that present AI as self-sufficient by showing the human infrastructure behind it.

4. Labour Under Digital Capitalism: Commodification and Control

Under digital capitalism, labour is fragmented into micro-tasks distributed globally. Workers do not form traditional collectives; instead, they operate individually within online platforms. This reduces solidarity and increases precarity.

The film reflects this structure through its editing style. Scenes are often fragmented—cutting between different workers, screens, and geographic locations. This montage mirrors the disjointed nature of digital labour networks.

Marxist Film Theory argues that cinema can reveal underlying economic structures. Here, the film exposes how human effort is commodified and abstracted into data. Labour becomes invisible precisely because it is embedded within seamless technological interfaces.

The film also critiques the myth of automation. While corporations claim AI replaces human labour, the film shows that automation depends on continuous human intervention. This contradiction reveals how capitalist systems obscure exploitation by presenting technology as autonomous.

5. Empathy, Critique, or Transformation?

A key question is whether the film invites empathy, critique, or transformation in how labour is perceived.

First, the film clearly invites empathy. By personalizing workers’ experiences, it humanizes what might otherwise remain abstract. Close-up shots, intimate interviews, and everyday details foster emotional connection between viewer and subject.

However, the film goes beyond empathy. It encourages critique. The juxtaposition of corporate rhetoric with workers’ realities exposes structural inequality. Viewers are not only asked to feel for the workers but also to question the systems that produce such inequality.

Finally, the film gestures toward transformation. By revealing the hidden labour sustaining AI, it challenges audiences to rethink dominant narratives about technological progress. If viewers begin to recognize the human cost behind “smart” systems, cultural perceptions of labour may shift.

From a cultural theory perspective, visibility is political. What is shown gains legitimacy. By making invisible labour visible, the film participates in a broader movement to democratize knowledge about technology.

Task 3 — Film Form, Structure & Digital Culture

👉Nature, Screens, and Systems of Meaning in Humans in the Loop

Introduction: Form as Philosophy

Cinema does not only tell stories—it constructs meaning through form. In Humans in the Loop, philosophical concerns about digital culture and human–AI interaction are expressed not just through dialogue or interviews, but through camera techniques, editing patterns, sequencing, and sound design. The film’s structure itself mirrors the systems it critiques.

By applying Structuralism, Film Semiotics, and Formalist Narrative Theory, we can see how the film transforms aesthetic choices into intellectual arguments. Its interplay between natural imagery and digital spaces becomes a symbolic language that communicates deeper anxieties about identity, labour, and technological mediation.

1. Structuralism & Film Semiotics: Cinema as a System of Signs

Structuralism suggests that meaning emerges from relationships between signs. In film semiotics, images, sounds, and editing patterns function as signifiers that produce cultural meaning.

In Humans in the Loop, two major visual codes dominate:

• Natural imagery (landscapes, open spaces, organic light)

• Digital spaces (screens, data interfaces, confined interiors)

These two visual systems operate as binary oppositions—a key structuralist concept. Nature represents fluidity, unpredictability, and lived experience. Digital spaces represent control, categorization, and abstraction.

The film frequently juxtaposes these oppositions. For example, a scene may transition from expansive outdoor shots to tight interior shots of workers staring at screens. This contrast creates symbolic tension. Nature suggests human complexity, while digital interfaces reduce that complexity into categories and labels.

Through this structural opposition, the film communicates its philosophical concern: digital systems attempt to organize reality, but reality exceeds algorithmic logic.

2. Natural Imagery vs. Digital Spaces: Thematic Communication

The interplay between natural and digital imagery is central to the film’s thematic design.

• Natural Imagery

Wide shots of landscapes or everyday life outside the workspace create a sense of continuity and organic rhythm. These images often use soft lighting and longer takes, allowing viewers to breathe within the frame. Nature becomes symbolic of human subjectivity—dynamic, emotional, and unquantifiable.

• Digital Spaces

In contrast, digital environments are framed through close-ups and static compositions. Screens dominate the visual field. The lighting is artificial, often cold or blue-toned, emphasizing technological mediation. Movements are minimal, reinforcing a sense of restriction.

From a semiotic perspective, these aesthetic contrasts function as signs of philosophical difference:

• Nature = lived, embodied knowledge

• Digital interface = abstracted, categorized knowledge

The transition between these spaces visually expresses the film’s core concern: what happens when human experience is translated into data?

The sequencing of these images is deliberate. Instead of merging nature and technology harmoniously, the film often presents them in tension. This suggests that digital culture is not neutral—it restructures human perception.

3. Camera Techniques: Framing Identity and Labour

Formalist theory emphasizes close analysis of cinematic techniques. In this film, camera framing plays a crucial role in shaping viewer perception.

• Close-Ups and Confinement

The frequent use of close-up shots isolates workers within the frame. Their faces are partially illuminated by screens, symbolizing how identity is mediated by technology. This framing creates intimacy but also confinement.

The viewer becomes aware of the worker’s emotional state—fatigue, focus, hesitation. These subtle expressions communicate the psychological dimensions of digital labour.

• Static Camera and Limited Movement

The camera often remains still during labelling sequences. This stillness mirrors the repetitive and constrained nature of the work. The lack of dynamic camera movement reinforces monotony.

From a narrative perspective, this aesthetic choice slows down time. Viewers experience the duration of labour rather than simply observing it. This temporal stretching creates empathy while also highlighting alienation.

4. Editing & Sequencing: Fragmentation as Meaning

Editing is central to the film’s philosophical structure.

Digital culture operates through fragmentation—microtasks, data units, algorithmic sorting. The film mirrors this structure through its editing style. Short sequences of screen activity are intercut with interviews and environmental shots. This creates a fragmented narrative rhythm.

Structuralist theory suggests that narrative structure itself conveys ideology. Here, the fragmented sequencing reflects the logic of digital capitalism: dispersed, disconnected, yet interconnected through systems.

However, the film occasionally disrupts fragmentation with longer, continuous shots. These moments feel almost resistant. They allow human presence to exist outside algorithmic tempo. The contrast between fragmented and continuous sequences communicates tension between machine time and human time.

5. Sound Design: Silence, Clicks, and Digital Atmosphere

Sound is often overlooked, but in this film it becomes philosophically significant.

• Minimal Background Score

The film uses limited non-diegetic music. Silence dominates many labelling scenes. This absence creates a sense of emotional emptiness and repetition.

• Diegetic Digital Sounds

Keyboard clicks, mouse taps, notification tones—these sounds are amplified. They function as rhythmic markers of digital labour. The repetitive soundscape mirrors industrial machinery, suggesting that digital work is a new form of factory labour.

From a semiotic viewpoint, these sounds signify mechanization. Even though workers sit in quiet rooms, the auditory environment resembles an assembly line.

The contrast between natural ambient sounds (wind, birds, distant voices) and digital clicks reinforces the binary opposition between organic and technological life.

6. Aesthetic Experience: Shaping Viewer Perception of Labour and Identity

The film’s aesthetic choices actively shape how viewers experience labour and identity.

• Slowness encourages reflection rather than passive consumption.

• Visual confinement evokes empathy and awareness of restriction.

• Repetition makes monotony perceptible.

• Juxtaposition of nature and screens generates philosophical tension.

Formalist theory argues that meaning arises from form. Here, the film’s form embodies its critique. The viewer does not just intellectually understand digital alienation—they feel it through pacing, framing, and sound.

Identity in the film is shown as mediated. Workers exist simultaneously as individuals and as anonymous nodes within data systems. The camera alternates between personal interviews and screen-based abstraction, reflecting this duality.

7. Human–AI Interaction as Narrative Structure

Rather than presenting AI as a character, the film represents it as an invisible system shaping narrative structure. AI is present through interfaces, metrics, and guidelines.

This indirect representation is significant. It aligns with structuralist ideas that systems—rather than individuals—govern meaning. The film’s narrative structure mirrors algorithmic systems: input (data), processing (labelling), output (machine learning).

By structuring the film in this way, the director transforms cinematic form into philosophical commentary.

Conclusion: 

Across its thematic focus and formal structure, Humans in the Loop operates as more than a documentary about Artificial Intelligence—it becomes a philosophical and political intervention into digital culture.

In Task 1, we saw how the film dismantles the myth of technological neutrality by revealing algorithmic bias as culturally situated. Through ideological critique and apparatus theory, the film demonstrates that AI systems reproduce epistemic hierarchies—privileging certain forms of knowledge while marginalizing others. Technology emerges not as objective intelligence, but as structured by human power relations.

In Task 2, the focus shifted to labour under digital capitalism. Through a Marxist and cultural lens, the film visualizes invisible labour and exposes the commodification of human effort. By centering data annotators and marginalized workers, it challenges dominant narratives that celebrate automation while erasing the human infrastructure sustaining it. The film invites empathy but also encourages structural critique.

In Task 3, we examined how cinematic form itself carries philosophical meaning. Through structural oppositions between natural imagery and digital spaces, controlled framing, fragmented editing, and minimal sound design, the film transforms aesthetic choices into arguments about mediation, identity, and abstraction. Using semiotics and formalist analysis, we see that the film’s structure mirrors the logic of algorithmic systems it critiques.

References

Alonso, D. V. (2026). Imagining AI futures in mainstream cinema: Socio-technical narratives and social imaginaries. AI & Society. https://doi.org/10.1007/s00146-026-02880-7 Anjum, N. (2026) Aranya 

Sahay’s Humans in the Loop and the politics of AI data labelling. The Federal. https://thefederal.com/films/aranya-sahay-humans-in-the-loop-oscar-adivasidata-labelling-jharkhand-ai-tribal-216946

Apparatus: Film, Media and Digital Cultures of Central and Eastern Europe (ongoing academic journal). (n.d.). Retrieved February 15, 2026, from https://en.wikipedia.org/wiki/Apparatus_(journal) 

Barad, D. (2026, January). Humans in the loop: Exploring AI, labour and digital culture [Blog post]. https://blog.dilipbarad.com/2026/01/humans-in-loop-film-review-exploring