Beyond the Algorithm: A Deep Dive into Aranya Sahay’s "Humans in the Loop"
The contemporary narrative surrounding Artificial Intelligence is often sanitized, presented as a triumph of silicon, speed, and mathematical perfection. We speak of "machine learning" as if the machine is a solitary student, and "automation" as if the process is untouched by human hands. However, Aranya Sahay’s 2024 film, Humans in the Loop, shatters this illusion. It pulls back the digital curtain to reveal a much more human—and often marginalized—reality.
Drawing from the scholarly worksheet developed by Dilip Barad of Bhavnagar University, this analysis explores how Sahay’s film serves as a critical intervention in the age of AI, reframing technology not as a neutral tool, but as a site of cultural friction, "invisible" labor, and epistemic hierarchy.
I. The Ghost in the Machine: Nehma’s Narrative Arc
At the heart of the film is Nehma, an Adivasi woman from the mineral-rich but economically marginalized state of Jharkhand. Her journey begins not in a tech hub, but in the ancestral forests where her identity is rooted in an intricate relationship with the land. When she is thrust into the world of AI data labeling, the film transitions from a story of survival to a profound exploration of the "Human-in-the-Loop" (HITL) model.
In technical terms, HITL refers to the process where machines require human intervention to improve accuracy. In Sahay’s cinematic universe, this technicality is transformed into a lived experience of alienation. Nehma’s task is to "teach" machine learning systems to recognize objects, faces, and environmental markers. However, the tragedy lies in the translation. As she clicks through images, she is forced to map her complex, holistic understanding of her world onto the rigid, binary, and Western-centric categories provided by the software.
Nehma is not merely a worker; she is a mediator between nature and the machine. The "loop" she inhabits is a site of profound cultural friction, where the nuance of Adivasi life is flattened to satisfy the hunger of a global algorithm.
II. The Invisible Labor of Digital Capitalism
One of the film’s most pressing themes is the visualization of "invisible labor." In the global North, AI is consumed as a seamless service—a voice assistant, a recommendation engine, or a generative tool. We rarely consider the "digital sweatshops" that make these services possible.
Sahay draws attention to the fact that behind every "smart" algorithm is a human being, often in the global South, performing the repetitive, soul-crushing task of data annotation for meager wages. This labor is the bedrock of digital capitalism. By situating this work within an Adivasi community, Sahay highlights a double marginalization:
Economic Marginalization: The exploitation of cheap labor in developing regions.
Cultural Marginalization: The erasure of the worker's own identity as they are forced to adopt the machine's "gaze."
The film invites us to critique the "AI Revolution" not as a leap into the future, but as a continuation of historical patterns of labor exploitation. As Barad’s worksheet notes, this "invisible labor" is significant because it challenges the myth of technological autonomy.
III. Epistemic Hierarchies: Whose Knowledge Counts?
The most intellectually provocative aspect of Humans in the Loop is its exploration of epistemic hierarchy—the ranking of different systems of knowledge.
AI systems are built on datasets that are predominantly Western, urban, and industrial. When Nehma labels a plant or a ritual object, she is often faced with a choice: label it according to what she knows (its medicinal use, its sacred name, its seasonal behavior) or label it according to what the machine expects.
The film poses a haunting question: Can a machine truly understand a forest if it ignores the indigenous epistemology of that forest? When the algorithm rejects Nehma’s nuanced input in favor of a generic tag, it is a form of "epistemic violence." The film suggests that by prioritizing technical data over lived, indigenous knowledge, AI becomes a tool for a new kind of colonization—one that doesn't just take land, but redefines reality itself in the image of the algorithm.
IV. The Politics of Representation and Cinematic Form
Sahay utilizes the specific language of cinema to communicate these abstract concerns. Dilip Barad’s worksheet encourages a close reading of mise-en-scène and sound design to understand this conflict.
Visual Contrast
The cinematography creates a jarring juxtaposition. On one hand, we see the lush, organic textures of the Jharkhand forest—deep greens, dappled sunlight, and fluid movement. On the other hand, we have the cold, blue light of the computer screen and the cramped, sterile workspace. This visual dissonance reflects the internal conflict Nehma faces: the struggle to fit a multidimensional life into a two-dimensional interface.
The Sound of the Loop
The sound design is equally critical. The ambient, polyphonic sounds of the forest—wind, birds, water—are interrupted by the sharp, repetitive, mechanical clicking of a mouse. This rhythmic clicking becomes a motif for the "loop" itself, a sound that signifies the commodification of Nehma’s time and thought.
Challenging Stereotypes
Crucially, the film avoids the "noble savage" trope. Sahay does not present the Adivasi community as "primitive" or anti-technology. Instead, she shows them as being integral to the most advanced technology of our time. This shift in representation is radical; it places the Adivasi woman at the center of the AI discourse, proving that she is not a relic of the past, but a stakeholder in the future.
Worksheet Content: An Advanced Study & Reflection Guide
Based on "WORKSHEET FILM SCREENING: ARANYA SAHAY'S HUMANS IN THE LOOP" by Dilip Barad.
I. Pre-Viewing: Contextualizing the Film
Before engaging with the text, it is essential to build a theoretical foundation in AI ethics and film theory.
Key Concepts to Research:
Algorithmic Bias: How datasets reflect the prejudices and cultural blind spots of their creators.
Data Annotation: The manual process of labeling data (images, text, audio) to train machine learning models.
The Global South in AI: The role of countries like India, Kenya, and the Philippines in providing the labor force for AI development.
Adivasi Rights in India: A brief history of the Jharkhand region and the socio-economic challenges faced by its tribal communities.
Preliminary Task:
Prepare a 500-word summary on the concept of "Digital Colonialism." How might the export of Western technological standards to indigenous communities be seen as a form of colonial expansion?
II. Points to Ponder (The "Active Viewing" Guide)
While watching Humans in the Loop, keep a journal of the following elements:
The Interface: Observe the UI (User Interface) Nehma uses. What words are used? What categories are available to her? Note moments where she hesitates before clicking.
The Environment: How does the camera move when Nehma is in the forest versus when she is at her desk? Look for "frames within frames" (windows, screens, doorways) that suggest entrapment.
The Metaphor of the "Loop": Beyond the technical definition, how is Nehma "in a loop" socially or economically? Is there a sense of progress, or is she caught in a cycle?
Language: Listen for the use of local dialects versus the technical English used in the software. What is lost in translation?
III. Post-Viewing Reflective Essay Tasks
Students should choose one of the following three prompts for a critical essay (2000 words), integrating film theory and cultural critique.
Task 1: AI, Bias, & Epistemic Representation
Prompt: "Algorithmic bias is often treated as a technical bug to be fixed, but Sahay represents it as a fundamental cultural erasure." Discuss this statement with reference to Nehma’s experience in the film.
Requirements: Analyze specific scenes where Nehma’s knowledge is rejected by the system.
Theoretical Lens: Use Apparatus Theory to discuss how the "apparatus" of the computer screen dictates the limits of what can be seen and known.
Task 2: Labor & The Politics of Cinematic Visibility
Prompt: Examine how Humans in the Loop visualizes "ghost work" (invisible labor). How does the film create empathy for the laborer without falling into sentimentalism?
Requirements: Contrast the film's portrayal of labor with mainstream media's portrayal of "Silicon Valley" innovation.
Theoretical Lens: Apply Marxist Film Theory. Discuss the "extraction" of value from Nehma’s cognitive labor and the commodification of her cultural heritage.
Task 3: Film Form, Structure, & Digital Culture
Prompt: Analyze the interplay between natural imagery and digital spaces. How do Sahay’s aesthetic choices (lighting, sound, editing) reflect the philosophical concerns of the film?
Requirements: Conduct a scene-by-scene formalist analysis. How does the editing rhythm mimic the process of data labeling?
Theoretical Lens: Use Structuralism and Film Semiotics. Treat the screen and the forest as competing "sign systems."
IV. Extended Bibliography & Recommended Reading
To achieve a high academic standard, students are encouraged to cite the following:
Foundational Texts
Bazin, A. (1967). What is Cinema? (Essential for understanding the realism of the forest vs. the abstraction of the screen).
Bordwell, D., & Thompson, K. (2019). Film Art: An Introduction. (For formalist analysis of mise-en-scène).
Deleuze, G. (1983). Cinema 1: The Movement Image. (Regarding how cinema captures the 'time' of labor).
Contemporary AI & Culture
Alonso, D. V. (2026). "Imagining AI futures in mainstream cinema: Socio-technical narratives." AI & Society.
Anjum, N. (2026). "Aranya Sahay's Humans in the Loop and the politics of AI data labelling." The Federal.
Cave, S., et al. (2023). "Shuri in the sea of dudes: The cultural construction of the AI engineer." In Feminist AI.
Noble, S. U. (2018). Algorithms of Oppression. (Crucial for the discussion on algorithmic bias).
Refference
Barad, D. (2026). "Humans in the loop: Exploring AI, labour and digital culture." Blog Post.
Indian Express Editorial (2026). "Humans in the Loop: Technology, AI and digital lives."
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