Cause-Effect Graph Demo

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  "summary": "Interactive visualization tool demonstrating cause-effect relationships in AI safety using a hierarchical graph with 7 nodes (rapid AI progress → insufficient alignment/competitive pressure → misaligned systems → loss of control/unintended consequences → existential risk). The tool encodes relationship strength, confidence levels (ranging 0.3-0.85), and causal direction through visual properties, though the example content itself represents standard AI safety arguments rather than novel analysis.",
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