Claim · 2016 · publication · Stated in source · Supported

Alignment for Advanced Machine Learning Systems (MIRI, 2016) frames its objective-specification problems as a way to ameliorate dangers it attributes to Bostrom's Superintelligence (2014).

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Alignment for Advanced Machine Learning Systems → attributes to → Superintelligence: Paths, Dangers, Strategies

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Alignment for Advanced Machine Learning Systemsattributes to ↓Superintelligence: Paths, Dangers, Strategies

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2016 · publication Records dated 2016 →
Kind of attribution: Builds on the work

Scope and limitsThe citing text's attribution and framing; not evidence that the dangers are real, that the agenda derives from the book, or of influence beyond this document.

The evidence 01

primary sourceSupports the claim

Alignment for Advanced Machine Learning Systems

Machine Intelligence Research Institute · 2016

Archived copy, captured 2026-09-22: Alignment for Advanced Machine Learning Systems

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Intuitively, it seems that if we could codify what we mean by “find a way to cure Parkinson’s disease without doing anything drastic,” many of the dangers Bostrom (2014) describes in his book Superintelligence could be ameliorated.”

Location in source PDF p. 2, §1 Introduction

Machine-checked · 2026-10-31

Source details and check notes

Authors: Jessica Taylor; Eliezer Yudkowsky; Patrick LaVictoire; Andrew Critch
Version: Publisher-hosted 25-page PDF inspected 2026-09-25. Work year corroborated by the 2016 announcement; PDF revision date unknown.
Canonical address: Open the canonical source ↗
Accessed: 2026-09-25
Language: English (en)
Archive copy: Open archived copy, captured 2026-09-22: Alignment for Advanced Machine Learning Systems. An archive copy shows only what the archive retrieved on 2026-09-22. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-09-25.
Attribution: Jessica Taylor; Eliezer Yudkowsky; Patrick LaVictoire; Andrew Critch, Alignment for Advanced Machine Learning Systems.
Reuse: No open redistribution licence asserted. Bibliographic metadata and brief attributed paraphrases only; source publications and personal contact details are not redistributed.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (37 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. A cross-family machine check (2026-10-30, item B018) found the attribution at its locator and in the citing text’s reference entry. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A document expressly attributes an argument, concept, term, finding or approach to another work, in its own words; the kind of attribution is recorded. The record is the citing document’s claim. It is not evidence that the cited work originated the idea, that the attribution is accurate, or of influence beyond the passage. Citation alone is recorded as a citation.

Date. Date of the citing text as the dataset records it (2016).

Record ID kp-shaping-miri-agenda-bostrom