“Sousveillance,” the Environment’s New Weapon
I wrote for Payam-e Ma on “reverse surveillance.” AI helps citizens track polluters and stop environmental ruin before it is too late.
Thick smog chokes our cities. The dark, smoky silence of the Alit forest holds a bitter question. “Why did we find out so late?” The history of environmental ruin is a history of secrets. Loggers cut down the Hyrcanian forests in hiding. Factories dump industrial waste into rivers at night. No one sees them. But what if we had eyes that never slept? What if they could watch from the sky and spot the slightest color change in a leaf?
I translated the book The Intersection of Artificial Intelligence and Journalism a few months ago. I found a concept there. It was more than a technical term. It was a spark of hope for environmental activism in Iran. This concept is “sousveillance.” The Indian authors, Santosh Kumar Biswal and Anand J. Kulkarni, explain the old model. We usually face “surveillance” from the top down. Governments and big corporations watch us citizens. But this book opens a new chapter. Technology turns the camera around.
“Sousveillance” means citizens and independent journalists use smart technology to monitor the powerful. In the environmental context, this arms “development journalism” with artificial intelligence.
Biswal and Kulkarni show us that AI no longer belongs only to tech giants. A local journalist in Zagros or Chaloos can access free satellite images now. They can use Sentinel or Landsat data. AI-based image analysis allows them to track vegetation changes weekly. We do not have to wait ten years for updates. AI recognizes subtle drying patterns that human eyes miss. It warns us before an axe strikes a tree or a fire swallows a forest.
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The book states that the power of AI lies in “discovering patterns in big data.” Imagine we have massive amounts of data on water quality, soil temperature, and factory emissions. Manual analysis takes years. Algorithms reveal the truth in a fraction of a second. They expose the contradiction between corporate “greenwashing” and the reality on the ground. This changes the nature of environmental journalism. It shifts from reactive reporting after a disaster to a preventive and monitoring role.
Translating this work taught me another lesson. We must not be naively optimistic. Artificial intelligence is a double-edged sword. It is not a neutral referee. It acts as a magnifying mirror. It reflects both our knowledge and our hidden biases with ruthless clarity. This same technology helps us expose environmental destroyers. But it can also create “deepfakes.” It can manufacture false visual reports to hide destructive construction projects.
The book’s main message for Payam-e Ma readers and environmentalists is clear. We cannot defend the environment in the AI age merely by planting saplings. We need “algorithmic literacy.” We need a new generation of journalists and citizen reporters. They must understand the language of machines. They must use it to question those whose carbon footprints darken our future.
The Intersection of Artificial Intelligence and Journalism is a roadmap for this new battlefield. It guides us from being worried spectators of the earth’s destruction. We become smart, equipped observers. We use “data” and “algorithms” to force transparency into the dark corners of environmental ruin. This translation helps defenders of nature use these conceptual and technical tools.
[1] Greenwashing is a deceptive attempt to hide an organization’s harmful actions behind fake eco-friendly claims. They do this to appear as friends of nature.
