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• Three Laws is an agentic AI alignment research collaboration investigating how fundamental principles from biology and economics can inform safer, more aligned AI systems.

• Our work centres on homeostasis, multi-objective balancing, sustainability, and universal human values — drawing from nature’s time-tested strategies for maintaining equilibrium — to develop benchmarks that elicit and expose dangerous runaway failure modes in current AI approaches.

• We also research frameworks that mitigate these risks. We believe that shifting AI design from “maximise forever” toward “maintain a healthy equilibrium” is a crucial and underexplored part of the alignment solution space.

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Agentic AI alignment research collaboration investigating how fundamental principles from biology and economics — homeostasis, multi-objective balancing, sustainability, and universal values — can inform safer, more aligned AI systems.

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