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AI use disclosure

Last updated: May 2026.

Aclamos uses generative AI to help operators run shows and ballots. This page explains where AI is involved, how it's constrained, and how to opt out. It supports our obligations under the EU AI Act (Reg. (EU) 2024/1689, Article 50 — effective August 2 2026), Executive Order 14110, and emerging U.S. state laws on AI disclosure (e.g. Colorado AIA SB24-205, California ADMT).

Where AI is used

  • Submission self-check — when a nominator submits, AI optionally reviews their entry against published eligibility criteria and returns a plain-English summary of any potential issues before submission is finalised. The nominator sees the result and decides whether to proceed or edit. No auto-rejection occurs.
  • Eligibility checks (admin-initiated) — when an admin opts in, AI summarises a nomination against the show's eligibility rules. The admin always makes the final call.
  • Judge briefs — produces a one-page summary for judges per nomination from the fields they'd otherwise read end-to-end.
  • AI suggest scores — on the judge scoring panel, an optional “Suggest scores” button asks Claude to propose rubric-aligned scores and a rationale based on the nomination text. The judge reviews the suggestion and may accept, adjust, or ignore it entirely. Suggested scores are never auto-submitted.
  • Judge-feedback emails — after scores are finalised, AI can draft a personalised feedback letter to each nominator explaining the jury's reasoning in plain language. The producer reviews and approves every email before it is sent.
  • Rubric-calibration suggestions — after a calibration round closes, the producer can ask Claude to read the per-criterion statistics (mean, spread, judge disagreement) and propose adjustments to rubric wording or weights. The producer reviews every suggestion and edits the rubric manually; nothing is applied automatically. The AI never sees nominator or judge identifying information for this task — only rubric text and aggregate statistics.
  • Archive entity matching — when the producer imports historical nominations from past shows, AI proposes which spelling variants (e.g. “Survivor: Africa” vs “Survivor Africa”) belong to the same nominee entity. The producer reviews and confirms every proposal before any database write; nothing is linked automatically. The AI receives only nominee names + existing entity slugs/names — never nominator email, judge identity, scores, or notes.
  • Polish & translation — proposes copy edits or translations on text the producer wrote. Output is suggested, not auto-published.
  • Plagiarism & GenAI risk — flags suspicious nomination text. The platform never auto-rejects on this signal.
  • AI Show Director — generates a complete show configuration (all categories, judging rubric, pricing tiers, submission form schema, and ceremony cue list) from a plain-English brief. The producer reviews and edits every field before publishing. Show Director also powers the “Suggest with AI” button on individual category edit pages.
  • Press-release generator — after winners are announced, AI drafts a formatted press release using the show's winner data, category names, and optional producer quotes. The producer reviews, edits, and publishes. Output is never auto-sent.
  • MCP server (Model Context Protocol) — Aclamos exposes a read-only MCP endpoint that lets authorised AI agents (e.g. Claude Desktop, custom GPTs) query show data, categories, and winners on behalf of producers who connect their own AI assistant. The MCP server is read-only; it cannot write data or take actions on behalf of any agent. Access requires an API key scoped to mcp:read.
  • Ballotis fraud detection — Claude reads vote patterns and flags coordinated / automated voting. Suspicious votes are quarantined for human review, not silently dropped.
  • Voter outreach copy — drafts reminder emails for the producer to approve and send.
  • Migration column-matcher — when a producer imports historical data from another platform via the migration importer, AI proposes a mapping from the uploaded CSV columns to Aclamos fields and asks clarifying questions for ambiguous columns. The producer reviews and confirms the mapping before any data is committed, and can dry-run the import as many times as needed. Nothing is written to the database on the producer's behalf without explicit confirmation.
  • Competitor intelligence — Aclamos' admin team uses Claude with web search to fact-check pricing claims and surface product changes from public competitor pages. This runs on aggregated public data; no Aclamos customer data is sent to the model for this task. Findings are reviewed by a human before any /compare page or marketing copy is updated.

Always-human-in-the-loop decisions

Decisions that are never made by AI alone:

  • Eligibility determinations.
  • Judging scores and shortlist decisions.
  • Vote tallies and election outcomes — counting is deterministic code, not LLMs.
  • Account suspensions, content takedowns, fraud determinations.
  • Refunds and payouts.
  • Publication of press releases, winner announcements, or any external communications.

Where the EU AI Act applies and a decision could be construed as “significantly affecting” a person, you have the right to (a) be told an automated decision is being made, (b) obtain meaningful information about the logic, and (c) request human review. Email privacy@aclamos.app.

Model & data handling

  • Default model: Anthropic Claude (Sonnet 4.6 / Opus 4.7 depending on task).
  • Prompts and outputs are processed under Anthropic's zero-retention, no-training policy. They are not used to train Anthropic models.
  • We send only the fields needed for each task. We never send payment information, password hashes, 2FA secrets, passkey credentials, or audit logs to model providers.
  • Outputs are reviewed by the producer before any visible-to-end-user publication, except for transparent operational helpers (e.g. a “suggest similar nominees” chip).
  • The MCP server exposes only data you have explicitly published or made available via API key. It does not expose private nomination data, payment records, or user PII to connected agents unless that data is within the key's granted scope.

Opt-out

  • Show producers: turn off AI features in /[org]/[show]/settings. The platform remains fully functional without them. Individual AI surfaces (self-check, suggest scores, feedback emails) can be toggled independently.
  • Nominators & voters: AI is not directed at you personally. Your free-text fields may be processed by AI for plagiarism / fraud signals; the producer who runs the show decides whether to enable that. You can decline to participate or contact the producer to opt out.

Synthetic-content marking

Where Aclamos generates synthetic media or text on a producer's behalf (e.g. a winner announcement card draft or press release), output includes provenance metadata (C2PA where supported) and a visible “AI-drafted” label by default until the producer removes it on approval.

Contact

Questions about how AI is used: ai@aclamos.app. Privacy or rights requests: privacy@aclamos.app or use /privacy/request.

AI use disclosure · Aclamos