The need to create “algorithmic legislation” was foreseen by some of history’s greatest mathematical minds long before the technology to implement it existed. They dreamed of a world where human disputes could be resolved with the certainty of a mathematical proof. This vision puts them in direct opposition to modern legal theorists, who argue that law as written is often inherently ambiguous—a social construct full of nuance.
Gottfried Leibniz, the 17th-century mathematician and philosopher, believed that with a sufficiently formal system, all legal questions could have a single, provably correct answer. He famously asserted that such a system would transform philosophy and law: “if controversies were to arise, there would be no more need of disputation between two philosophers than between two accountants. For it would suffice to take their pencils in their hands, to sit down to their slates, and to say to each other (with a friend as witness, if they liked): Let us calculate”.
Similarly, Pierre-Simon Laplace, a pioneer in probability theory, viewed his field as “common sense, reduced to calculation”. He predicted that well-executed mathematical approximation would eventually surpass the limits of “reasoned arguments”.
Today, we see a practical application of this concept in modern tax law, where complex regulations are often represented as mathematical functions ready for computation.
Based on: “Fundamentals of Modeling Algorithmic Decisions in Corporate
Management”
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