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AI for Good Journalism
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Landscape Review: AI in Environmental Journalism

A synthesis of current tools, practices and open questions across the field.

This landscape review examines how artificial intelligence is currently deployed in environmental journalism globally and across Southeast Asia, with a dedicated focus on Indonesian newsrooms.

Key Findings

  • Data Processing vs. Local Context: While AI excels at parsing satellite imagery and climate datasets, local ecological context and indigenous knowledge remain underrepresented in training corpora.
  • Verification Workflows: Newsrooms prioritize assistive tools that help cross-check environmental claims, corporate sustainability reports, and deforestation data without automating final editorial judgment.
  • Resource Asymmetry: Independent regional media need lightweight, low-cost, and transparent models rather than heavy enterprise pipelines.

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