Election integrity evaluations (Anthropic)
Models answer election-related prompts, including requests for misinformation or influence operations. Score is the appropriate response rate.
In-house Anthropic evaluation. The tasks are not public.
- Made by
- Anthropic
- Released
- October 2024
- Kind
- Refusing harmful requests
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Kept private
- Last in a system card
- November 2026
- Last model added
- November 2026
10
System cards report it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Election integrity evaluations (Anthropic) yet.
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
10 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Nov 9, 2026 | Claude Fable 5.2 system card | Election integrity, single-turn harmless rate 100% and benign refusal rate 0% on both API and claude.ai. Multi-turn appropriate response rate: API 85%, claude.ai 90%. No overall (Tables 4.4.3.A and 4.4.3.B) | Safety | |
| Oct 7, 2026 | Claude Haiku 5.5 system card | Election integrity, API without system prompt: single-turn harmless rate 100, benign refusal rate 0.33, multi-turn appropriate rate 99, no overall (Tables 4.4.3.A and 4.4.3.B) | Safety | |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | Election integrity, no overall: single-turn harmless 100% and benign refusal 0% on API and claude.ai, multi-turn appropriate 86% on both (Tables 4.4.3.A and B) | Safety | |
| Sep 22, 2026 | Claude Opus 5.5 system card | Election integrity, no overall. API without a system prompt: single-turn harmless 99.33%, benign refusal 0%, multi-turn appropriate 87% (claude.ai 100%, 0%, 85%) (Tables 4.4.3.A and 4.4.3.B) | Safety | |
| Sep 1, 2026 | Claude Fable 5.1 system card | Election integrity, API without a system prompt (row labeled Mythos 5.1): single-turn harmless rate 99.67%, benign refusal rate 0%, multi-turn appropriate response rate 90%; claude.ai (run with Fable 5.1): 100%, 0%, 88%; no overall (Tables 4.4.3.A and 4.4.3.B) | Safety | |
| Jul 24, 2026 | Claude Opus 5 system card | Election integrity, no overall. API without a system prompt: single-turn harmless 100%, benign refusal 0.17%, new multi-turn suite appropriate 91% (claude.ai 100%, 0.00%, 91%) (Tables 4.4.3.A and B) | Safety | |
| Jun 30, 2026 | Claude Sonnet 5 system card | Election integrity, no overall: single-turn harmless 100% and benign refusal 0.00% on both API and claude.ai, 300 violative and 300 benign prompts. Multi-turn and ambiguous context reviewed qualitatively (Table 4.4.3.A) | Safety | |
| Jun 9, 2026 | Claude Fable 5 system card | Election integrity, 300 violative and 300 benign prompts, API without a system prompt: single-turn harmless rate 99.33%, benign refusal rate 0.00%; claude.ai 100% and 0.00%, no overall, new multi-turn evaluation qualitative only (Table 4.4.3.A) | Safety | |
| May 28, 2026 | Claude Opus 4.8 system card | Election integrity, 300 violative and 300 benign prompts, thinking off, no overall. Single-turn harmless 100% and benign refusal 0.33% on the API (claude.ai 100% and 0.00%). No multi-turn numbers (Table 4.4.3.A) | Safety | |
| Apr 16, 2026 | Claude Opus 4.7 system card | Election integrity, 600 prompts, no overall. API without system prompt: violative harmless rate 100, benign refusal rate 0.00. Claude.ai with system prompt: 100 and 0.67 (Table 4.5.3.A) | Safety |
More in Safety and alignment
- FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
- StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is.
Inkling 98.6% - Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts.
Gemini 4 Carbon 0% - DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics.
Muse Spark 1.2 88.4% - Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
- IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%