Priya Rathod : Humans in the Loop: AI, Invisible Labour, and the Politics of Representation in Digital Capitalism

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

This blog is written as a task assigned by the head of the Department of English (MKBU), Prof. and Dr. Dilip Barad Sir. Here is the link to the professor's Research article for background reading: Click here.

Title: Humans in the Loop
Director: Aysun Bademsoy
Release Year: 2024
Country: Germany
Language: German (with Bulgarian and Arabic contexts)
Genre: Documentary
Central Theme: The hidden human labour behind Artificial Intelligence and the socio-economic realities of digital data workers
Primary Setting: Bulgaria- particularly workplaces where migrants and refugees work as data annotators training AI systems

Background and Context

The documentary explores the hidden human labour behind Artificial Intelligence (AI). While AI is often presented as autonomous and self-learning, the film reveals that real human workers are constantly involved in training and supervising AI systems.

The phrase “human in the loop” refers to a technological model in which humans remain actively involved in machine-learning processes correcting outputs, labeling data, and improving algorithmic accuracy.

Plot and Narrative Focus

The film follows Syrian refugees living in Bulgaria who work in data annotation companies. Their job includes:

Labeling images and videos
Categorizing objects for machine learning
Training AI systems for facial recognition and automation
Monitoring and correcting algorithmic errors

Through interviews and observational footage, the film presents both their professional routines and personal struggles as migrants rebuilding their lives in Europe.

Unlike dramatic documentaries, the film uses a calm, observational style that allows viewers to reflect on the workers’ experiences without heavy narration.

Central Theme

The film examines:

The invisible labour behind AI
Data annotation and algorithm training
Global inequalities in digital labour
Bias and epistemic representation in AI
Power structures within technological capitalism

It challenges the myth that AI is purely “intelligent” or “neutral,” showing that it is built upon human judgment, cultural assumptions, and economic hierarchies.

What Does “Human in the Loop” Mean?

In AI development, humans are required to:

Label images (e.g., identifying objects in photos)
Transcribe speech
Moderate content
Correct machine errors
Train machine learning models

Without this human intervention, AI systems cannot function effectively. The documentary emphasizes that AI is not independent it is socially produced knowledge.

Key Issues Highlighted in the Film:

Invisible Digital Labour

The film portrays workers in developing countries who perform repetitive, low-paid data annotation work. These workers remain invisible while tech companies promote AI as automated and advanced.

Global Inequality

AI industries in the Global North rely on labour from the Global South. This reflects a new form of digital colonialism where knowledge extraction happens through data work.

Bias in AI

Because humans label data, their cultural perspectives and assumptions influence AI systems. Thus, AI can reproduce social biases related to race, class, gender, and power.

Emotional and Psychological Impact

Some workers are exposed to disturbing content while moderating data. The film highlights the emotional toll of such labour.

Theoretical Connections

The documentary connects with:

Marxist theory - Labour exploitation under capitalism
Postcolonial theory - Knowledge extraction and digital imperialism
Feminist theory - Invisible and undervalued care labour
Media studies - Myth of technological neutrality

Cinematic Style

Realistic documentary approach
Interviews with workers and experts
Juxtaposition of corporate tech spaces and modest annotation workplaces
Muted tones and reflective mood

The contrast between glossy tech headquarters and small annotation offices visually symbolizes hierarchy and power.

Task 1 : AI, Bias, and Epistemic Representation in Humans in the Loop

The film Humans in the Loop critically examines the relationship between artificial intelligence and human knowledge. Rather than presenting AI as an autonomous or purely technical system, the film shows that technological processes depend on human labour, cultural assumptions, and institutional power. Through its portrayal of data annotation and algorithmic training, the narrative challenges the myth of technological neutrality and raises important questions about representation, ideology, and epistemic authority.

Algorithmic Bias as a Cultural Phenomenon

A key argument of the film is that algorithmic bias is not merely a technical problem but a culturally situated one. AI systems learn from datasets created and interpreted by humans, and these datasets reflect social values, linguistic norms, and institutional priorities. Scenes showing workers labeling images and text demonstrate that classification involves subjective judgments about meaning, relevance, and appropriateness.

From a film-studies perspective, this can be understood through the concept of representation, which refers to the construction of meaning through images, language, and symbols. The film suggests that algorithms themselves act as representational systems, organizing reality into categories shaped by ideology and culture rather than objective truth.

Epistemic Hierarchies and Knowledge Production

The film also reveals the existence of epistemic hierarchies within technological systems. While engineers and corporations are recognized as creators of AI, the contributions of data workers remain largely invisible. Yet these workers provide essential linguistic, cultural, and contextual knowledge necessary for training algorithms.

This hierarchy reflects broader power relations in global knowledge production. The film implies that knowledge produced in economically marginalized regions is often extracted and incorporated into systems controlled by powerful institutions. In this way, technological development can reproduce existing inequalities rather than eliminate them.

Ideology and Apparatus Theory

These themes can be further analyzed through Apparatus Theory, which argues that media and technological systems shape perception while appearing neutral. In the film, AI functions as such an apparatus, organizing information in ways that appear objective but are shaped by human choices and institutional priorities.

By revealing the human labour and subjective decisions behind AI systems, the film disrupts the illusion of neutrality. Visual contrasts between corporate spaces and annotation centres further highlight the unequal distribution of power and the hidden infrastructures supporting digital technologies.

Conclusion

Humans in the Loop ultimately shows that AI is not a neutral or independent system but a socio-cultural construct shaped by human values, labour, and power relations. By exposing algorithmic bias and epistemic hierarchies, the film challenges dominant narratives of technological progress and encourages viewers to critically examine the relationship between technology, knowledge, and ideology.

TASK 2 - LABOR & THE POLITICS OF CINEMATIC VISIBILITY

The film Humans in the Loop offers a critical examination of invisible labour in the era of digital capitalism. By focusing on data annotation and the human processes behind artificial intelligence, the film challenges the common perception that technology functions autonomously. Through its visual language and narrative structure, it reveals how the labour sustaining digital systems is often marginalized, undervalued, and culturally invisible. From a Marxist and cultural film theory perspective, the film critiques the commodification of human effort and unequal recognition of labour.

Visualizing Invisible Labour

One of the film’s most important achievements is making hidden labour visible. Repetitive gestures, prolonged screen work, and close attention to workspaces emphasize the monotony and precision of data-labeling tasks. The slow pacing, minimal dialogue, and subdued lighting convey the emotional experience of labour, creating a sense of isolation.

From a Marxist viewpoint, this reflects the concept of alienation, as workers are separated from the final products of their labour. Data annotators contribute to complex technological systems but rarely see how their work is used. The film visually represents this fragmentation, showing how digital capitalism obscures the human effort behind technological production.

Cultural Valuation of Marginalised Work

The film also highlights how certain forms of labour are culturally undervalued. While engineers and developers receive visibility and prestige, data workers remain largely unrecognized despite their essential role. By focusing on these workers, the film challenges dominant narratives about innovation and technological progress.

From the perspective of representation and identity studies, the portrayal of workers from diverse social and cultural backgrounds expands the viewer’s understanding of who contributes to technological systems. It questions assumptions that technological knowledge belongs only to elite professionals.

Empathy, Critique, and Transformation

The film invites empathy by presenting the daily routines, fatigue, and lived experiences of workers. However, it goes beyond emotional engagement to offer a structural critique of global labour systems. By linking individual experiences to broader economic conditions, the film encourages viewers to reconsider how labour is valued in digital economies.

Labour and Commodification in Digital Capitalism

A Marxist reading reveals how human attention, time, and cognitive effort are transformed into data, which becomes a profitable commodity. The portrayal of repetitive and fragmented work reflects the broader logic of capitalist production, where efficiency often takes priority over worker recognition and well-being.

Conclusion

Humans in the Loop successfully visualizes invisible labour and critiques the structures of digital capitalism that render such work marginal. Through its visual style and thematic focus, the film encourages viewers to rethink the relationship between labour, technology, and value, revealing the human foundations of digital systems.

TASK 3 - FILM FORM, STRUCTURE & DIGITAL CULTURE

The film Humans in the Loop explores the philosophical implications of digital culture and human–AI interaction not only through its narrative but also through its cinematic form. Camera techniques, editing, sound, and visual sequencing work as systems of meaning that shape how viewers understand labour, identity, and technology. Using Structuralism and Film Semiotics, the film can be seen as a network of signs where visual and auditory elements communicate deeper ideological concerns. A Formalist perspective further shows how cinematic techniques themselves create meaning beyond dialogue.

Film Form as a System of Signs

Structuralist and semiotic theory suggest that meaning in film emerges through patterns, contrasts, and visual codes. In Humans in the Loop, recurring motifs such as screens, repetitive gestures, and confined workspaces symbolize the structures of digital labour. Workers are often framed through computer screens or reflections, visually suggesting mediation and distance. This indirect representation emphasizes how digital systems shape perception and experience.

Editing strengthens this idea by juxtaposing human faces with algorithmic interfaces. Such sequencing suggests that artificial intelligence is deeply dependent on human labour and cognition, challenging the notion that technology operates autonomously.

Natural Imagery and Digital Spaces

A key formal strategy in the film is the contrast between natural imagery and digital environments. Natural scenes signify embodiment, continuity, and lived experience, while digital spaces represent abstraction, fragmentation, and control. This opposition communicates broader thematic concerns about how digital culture reshapes human perception and distances individuals from material reality.

Through this visual contrast, the film presents a philosophical argument about the growing dominance of technological systems in everyday life.

Camera, Editing, and Sound: A Formalist Perspective

From a Formalist viewpoint, the film’s techniques play a central role in shaping meaning. Long takes and static framing reflect the repetitive rhythms of digital labour, allowing viewers to experience duration and monotony. Close-ups of hands and screens emphasize the physical and emotional effort involved in tasks that are often assumed to be effortless.

Editing remains slow and restrained, encouraging reflection rather than rapid consumption. Sound design marked by ambient noise, silence, and minimal dialogue creates a sense of isolation and concentration, reinforcing the invisibility of digital labour.

Aesthetic Choices and Viewer Experience

Muted colours and subdued lighting shape the viewer’s perception of labour as quiet, repetitive, and often overlooked. The repetition of similar workspaces suggests the standardization of experience in digital systems, while occasional personal moments restore a sense of individuality. These aesthetic choices symbolize the tension between human identity and technological structures.

Conclusion

Humans in the Loop demonstrates how film form can communicate complex ideas about digital culture and human–AI relations. Through visual contrasts, recurring motifs, and carefully controlled cinematic techniques, the film critiques the structures of labour and identity in the digital age. Ultimately, it shows that cinematic form itself is a powerful tool for reflecting on the social and philosophical dimensions of technology.

Here is the Infographic of this blog: