Ghost in the Machine is filmmaker Valerie Veatch’s documentary about the human values, biases, and power structures behind artificial intelligence. It questions the story of AI as inevitable progress and argues that the technology’s history is entangled with eugenicist ideas. That connection is the film’s thesis, not a historical conclusion established by the film’s listings or interviews alone.
What is Ghost in the Machine about?
Veatch’s documentary asks the questions featured in its PBS Independent Lens description: “What is AI?”, “Who is building it?”, and “What will humans become?” Its subject is not simply how machine-learning tools work, but how people and institutions shape their development—and how those choices may affect society and the environment.
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PBS lists the film’s premiere as September 14, 2026, and identifies Veatch as its writer and director. Her earlier documentary work includes Me @ The Zoo and Love Child. PBS’s page includes a “Watch Now” option; streaming access and regional availability can change.
What does the film argue about AI’s history?
The film investigates the history behind contemporary AI and the forces driving its current boom. Its central historical argument links AI’s foundations to eugenicist philosophies and broader patterns of scientific racism, control, and domination. Veatch develops this argument in her PBS essay, while Sundance’s coverage describes the film’s historical framing and subject matter.
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That is an important distinction for viewers: the available film descriptions and director interviews establish what Ghost in the Machine contends, but do not independently adjudicate the historical claim. The film’s more than 30 expert contributors, noted by Sundance, are participants in the documentary—not proof of consensus among AI researchers or historians.
Why does Veatch include AI-generated images?
Veatch says she began the project with an open-minded interest in generative AI and the promise of a new filmmaking tool. In her PBS essay, she writes, “My new documentary Ghost in the Machine began as an exploration into an exciting new technology I was told would revolutionize filmmaking.” As her view changed, she used selected generated images to make a critical point rather than to present them as neutral illustrations.
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In an International Documentary Association interview, Veatch explains that an absurd generated image can puncture grand claims about superintelligence. She describes a scene with “a guy putting on two pairs of glasses and a jug of Kool-Aid dancing” as a way to convey what she sees as the “horribleness, and the emptiness, and the wrongness” of the subject being discussed. That is her explanation of a creative choice, not a general finding about every AI system or use.
The film uses both AI and NOT AI labels. Veatch says the labels disclose which material was generated, while also making the distinction itself part of the film’s visual argument. She has noted that consistently labeling material became more complicated as generated media spread during production. The labels should not be read as a claim that every image in the documentary was generated.
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Who appears in the documentary?
PBS lists participants including Emily M. Bender, Abeba Birhane, Arvind Narayanan, Johnathan Flowers, Dan McQuillan, and Angela Saini. Sundance describes testimony from more than 30 experts. The participant list gives viewers a sense of the voices represented, but it does not by itself establish that all contributors share the film’s conclusions.
The film also considers the language used to talk about AI. Bender, quoted in Veatch’s PBS essay, says: “It does not refer to a coherent set of technologies.” That observation underscores a practical point for viewers: “AI” can refer to different systems and techniques, so broad claims about its effects need to be tied to the specific technology and context at issue.
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How to watch—and what to read alongside it
The PBS Independent Lens film page offers a Watch Now option. Check the page for current access, since availability may vary by location and over time.
For a companion perspective on AI-industry narratives, the American Bar Association’s discussion of the film lists The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want by Emily M. Bender and Alex Hanna among its references. It is optional further reading, not independent proof of the documentary’s historical thesis.
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