# kaal:claim:3808867-028

**Claim.** In its ultimate state, algorithmic automation negates human input in data systems altogether, because human bounded rationality creates inefficiencies and the human condition yields suboptimal outputs even when algorithmically optimized.

**Type.** failure  **Support.** argued

**Holds when.**

- fully realized centralized algorithmic automation

**Source quote.**

> In its ultimate state, algorithmic automation negates human input in data systems as humans' bounded rationality creates inefficiencies and the human condition results in suboptimal outputs, even when algorithmically optimized.

**From.** Wulf A. Kaal, *How Decentralized Systems Can Upgrade AI* (2021), IV. Enhanced Algorithmic Future, page 14

**Cite as.** Wulf A. Kaal, How Decentralized Systems Can Upgrade AI (2021). SSRN: https://ssrn.com/abstract=3808867

**Verify.** sha256 of source PDF `eeccf6d0587bd278a96ce6ac8ec5003e26d161c245f6c94b4144d84f374802eb` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202021%20-%20How%20Decentralized%20Systems%20Can%20Upgrade%20AI.pdf

**Failure mode.** Elimination of the human element  (family: human-judgment-displacement)

**Topics.** risk-and-incentives

**Keywords.** algorithmic-automation, human-input, bounded-rationality, dataism

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.