Kasirzadeh and Gabriel characterize AI agents along four dimensions, autonomy, efficacy, goal complexity and generality, each with gradations, and draw “agentic profiles” for systems including AlphaGo, ChatGPT-3.5, Claude 3.5 Sonnet with tool use and a self-driving car.

SocioLens project,

Claim LD01-SL-C12 (v1.0)

Provenance and status

Claim type: Interpretation
Publication status: Eligible for publication, with qualifiers: preprint
Verification state: Checked against the primary source; the source is a preprint. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: A measurement; the profiles are the authors’ qualitative judgments
Limitations: Read in arXiv version 1 (30 April 2025); no testable prediction is stated; one author works for Google DeepMind; the profiles cover systems from Google DeepMind (AlphaGo), Alphabet’s Waymo, OpenAI and Anthropic (Claude 3.5 with tool use), the developer of the model that drafted this debate
Source (as cited): Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025
Source type: Preprint (recorded as “Preprint”)
Institutional position: Mixed: independent academic (Carnegie Mellon University) and AI developer (Google DeepMind)
Maturity of the evidence: Emerging evidence
Recorded date: 16 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025 (Preprint)
Read the original

Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): INTERPRETATION (as printed: “INTERPRETATION”)
Publication status (coded): ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (PREPRINT)
Source type (coded): PREPRINT
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD01-SL-C12	—
2	PUBLIC-FACING CLAIM	Kasirzadeh and Gabriel characterize AI agents along four dimensions, autonomy, efficacy, goal complexity and generality, each with gradations, and draw “agentic profiles” for systems including AlphaGo, ChatGPT-3.5, Claude 3.5 Sonnet with tool use and a self-driving car.	—
3	CLAIM TYPE	INTERPRETATION	base_types: INTERPRETATION
4	RESEARCH STRAND	A — What each account says generative AI is, and what it predicts	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025	source_ids: SRC-SL-KASIRZADEH-GABRIEL-ARXIV-2504-21848
7	SOURCE TYPE	Preprint	classes: PREPRINT
8	INSTITUTIONAL POSITION	Mixed: independent academic (Carnegie Mellon University) and AI developer (Google DeepMind)	—
9	SCOPE	AI systems described as agents, 2025	—
10	DESIGN	Conceptual framework with qualitative profiles	—
11	SAMPLE / DATASET	Four example systems	—
12	MODEL / TOOL / VERSION	AlphaGo, ChatGPT-3.5, Claude 3.5 Sonnet with tool use, Waymo	—
13	COMPARATOR	Not applicable	—
14	MAIN RESULT	Agency treated as a profile on four graded dimensions, intended for alignment and governance	—
15	INFERENTIAL TARGET	A way to describe how agentic a system is	—
16	DOES NOT LICENSE	A measurement; the profiles are the authors’ qualitative judgments	—
17	VERIFICATION STATE	CONTENT VERIFIED PREPRINT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18	LIMITATIONS	Read in arXiv version 1 (30 April 2025); no testable prediction is stated; one author works for Google DeepMind; the profiles cover systems from Google DeepMind (AlphaGo), Alphabet’s Waymo, OpenAI and Anthropic (Claude 3.5 with tool use), the developer of the model that drafted this debate	—
19	CONTRADICTORY / SUPPORTING SOURCES	LD01-SL-C10	—
20	GEOGRAPHY / LANGUAGE	Not applicable / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-01, T4, D6	—
23	WHAT WOULD CHANGE THIS CLAIM?	Profiles scored reliably by independent raters, or by measurement	—
24	PUBLICATION STATUS	ELIGIBLE WITH PREPRINT QUALIFIER	state: ELIGIBLE · qualifiers: PREPRINT
25	RECORDED DATE	2026-10-16	—

Field 22 references resolved against Field Map v0.2: LD-01 (LIVING_DEBATE); T4 (TENSION); D6 (DOMAIN)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025” → Kasirzadeh & Gabriel (2025), “Characterizing AI Agents…” (SRC-SL-KASIRZADEH-GABRIEL-ARXIV-2504-21848--v1.0) — Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025; class PREPRINT (explicit public provenance pin)

Cited by Living Debate versions

What kind of thing is generative AI, and does the answer predict anything? (v0.1) LD-01

Cite this page

SocioLens project. (2026, October 16). Kasirzadeh and Gabriel characterize AI agents along four dimensions, autonomy, efficacy, goal complexity and generality, each with gradations, and draw “agentic profiles” for systems including AlphaGo, ChatGPT-3.5, Claude 3.5 Sonnet with tool use and a self-driving car [Claim LD01-SL-C12, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld01-sl-c12/v1.0/

@misc{sociolens_ld01_sl_c12_v1_0,
  author = {{SocioLens project}},
  title = {Kasirzadeh and Gabriel characterize AI agents along four dimensions, autonomy, efficacy, goal complexity and generality, each with gradations, and draw “agentic profiles” for systems including AlphaGo, ChatGPT-3.5, Claude 3.5 Sonnet with tool use and a self-driving car.},
  year = {2026},
  date = {2026-10-16},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld01-sl-c12/v1.0/}},
  note = {Claim LD01-SL-C12, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 1eceac94a73cf4834c870702154c4e4a8ab0394b56845eda7c4184ed35a3e18c.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD01-SL-C12 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 12 — LD01-SL-C12” SHA-256 9fae7b41b9e97f74a79cba64c4436ad1c0faba6ca932251597cf266a980bf845; fixture fixtures/authored/claims/LD01-SL-C12--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD01-SL-C12 v1.0); the first version of a new Claim of the LD-01 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD01-SL-C12 v1.0" (Project Lead (Claude, AI), 2026-10-16); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-KASIRZADEH-GABRIEL-ARXIV-2504-21848--v1.0 — basis: field 6 of ENTRY 12 — LD01-SL-C12 cites "Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-KASIRZADEH-GABRIEL-ARXIV-2504-21848--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Kasirzadeh & Gabriel, “Characterizing AI Agents for Alignment and Governance,” arXiv:2504.21848, 2025".