# kaal:claim:3808867-025

**Claim.** The quantification and algorithmic optimization of human thought, feeling, and action can produce an optimization of humans that is too complex for humans to understand without the data driven algorithmic aids themselves.

**Type.** mechanism  **Support.** argued

**Holds when.**

- sensor and wearable derived data on human interaction

**Source quote.**

> The quantification of human thought, feeling, and action and their algorithmic optimization can create optimization of humans that is too complex for humans to understand without the data-driven algorithmic aids.

**From.** Wulf A. Kaal, *How Decentralized Systems Can Upgrade AI* (2021), IV. Enhanced Algorithmic Future, page 13

**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.** Human unintelligibility of algorithmic optimization  (family: ai-oversight-and-alignment-gap)

**Topics.** disclosure, risk-and-incentives

**Keywords.** algorithmic-optimization, opacity, quantified-self, bounded-rationality

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