# kaal:claim:3808867-031

**Claim.** Those few entities and individuals who control the data flow and the associated algorithms can use centralized algorithmic human predictors to build autocratic algorithmic systems and structures, and the implied loss of democratic principles in society is perhaps an inevitable side effect.

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

**Holds when.**

- concentrated control over data flows and algorithms

**Source quote.**

> Centralized algorithmic human predictors can be used by those few entities and individuals who control the data flow and the associated algorithms to create autocratic algorithmic systems and structures. The implied loss of democratic principles in society is perhaps an inevitable side effect.

**From.** Wulf A. Kaal, *How Decentralized Systems Can Upgrade AI* (2021), IV. Enhanced Algorithmic Future, page 15

**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.** Algorithmic autocracy from data control  (family: recentralization-drift)

**Topics.** institutional-design

**Keywords.** algorithmic-autocracy, data-control, democracy, concentration

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