Descargar PDFVersión en Markdown
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Usa AI Ethics Prover con tu IA.

Conecta tu cuenta una vez y deja que la IA que ya usas trabaje con ella, sin construir otra integración. Obtenga análisis operativos que superan el mero cumplimiento superficial.

Included with plan

Pregunta a la IA sobre este Connector

Desarrollado, mantenido y alojado por Vinkius.

MCP VERIFICADO · LISTO PARA PRODUCCIÓN · GARANTÍA VINKIUS

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Set completo · 1 capacidad

El set completo de capacidades de AI Ethics Prover.

Estas son las acciones exactas que tu IA puede elegir cuando le pides trabajar con AI Ethics Prover.

Set de capacidades01 / 01

01

1 capacidad en este set.

Parte de 1 disponible a través de AI Ethics Prover.

  1. 01

    Validate AI ethics

    You must: (1) identify STAKEHOLDERS. name each affected group with demographics, impact type, severity, and vulnerability. "Society" and "users" are not stakeholders, (2) quantify HARMS. each harm has severity (1-5), probability (%), reversibility, and affected population size. "Potentially harmful" is not quantification, (3) audit BIASES. each protected attribute tested with a named metric (statistical parity, equalized odds, calibration), measured disparity, and mitigation plan. "We checked for bias" without methodology is not an audit, (4) demonstrate TRANSPARENCY. each stakeholder group gets explanation at their comprehension level with top decision factors and counterfactual "what-if" scenarios. "Algorithmic complexity" is not an excuse for opacity, (5) provide RECOURSE. structured challenge mechanism with response SLA, human reviewer, appeal process, and remediation for confirmed errors. "Contact support" is not recourse. If rejected, your ethics assessment has an analytical flaw. Forces operationally specific AI ethics analysis before deploying AI systems. Catches Unnamed Stakeholders ("society" instead of specific groups), Unquantified Harms ("potentially harmful" without severity/probability), Unaudited Biases ("we checked" without methodology), Opaque Transparency ("algorithmic complexity" as excuse), and Absent Recourse ("contact support" instead of structured challenge). Call once per AI system ethical assessment. This is analytical support, not ethical certification

Observada, no estimada

Promedio de 824ms. Rápida en producción.

AI Ethics Prover se verifica a diario contra el servicio en producción.

Promedio diarioPico de 973ms
29 agoHoy
Día más rápido
734ms
Día más lento
973ms
Tendencia de 14 días
Mejorando-25%

Conecta tu cliente

Una URL. Todos los clientes.

Activa el Connector, copia tu enlace y pégalo en el cliente que ya usas. 1 capacidad llega lista para funcionar.

Acceso de vista previa · no es autenticación del proveedor

El token vk_preview_* pertenece a la infraestructura de vista previa de Vinkius. Permite que Claude descubra y muestre las capacidades de AI Ethics Prover, para que veas la experiencia dentro de tu IA.

No autentica tu cuenta con AI Ethics Prover. Las acciones que requieran credenciales o datos reales de la cuenta podrían no ejecutarse hasta que actives el Connector y autorices el servicio.

AI Ethics Prover Connector

Todo listo. Elige tu cliente MCP y sigue las instrucciones de configuración.

Enlace del conectorhttps://edge.vinkius.com/vk_preview_7qJ0qxhBYTGcM0mD5Tm7UjlCl1VpFyO7pPzQ2B4P/mcp

Claude Desktop

Sigue los pasos siguientes para conectarte en segundos.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI Ethics Prover capabilities are ready to use.
Configuración · claude_desktop_config.jsonCopiar
{
  "mcpServers": {
    "ai-ethics-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7qJ0qxhBYTGcM0mD5Tm7UjlCl1VpFyO7pPzQ2B4P/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Las instrucciones paso a paso para cada cliente están en la guía. Cómo conectar

Para quién es

Hecho para el trabajo que quienes usan AI Ethics Prover delegan.

Compliance officers, ML engineers, and product managers building regulated AI systems need this MCP. If your company needs to prove that an AI model is fair, transparent, and safe, this capability provides the necessary structure. It moves your ethics discussion from abstract principles to hard, auditable data points.

  • 01

    Compliance Officer

    Use it to validate that AI systems meet regulatory standards by checking for gaps in bias auditing and recourse mechanisms.

  • 02

    ML Engineer

    Use it to stress-test model documentation, ensuring that every ethical claim is backed by quantifiable metrics and methodology.

  • 03

    Product Manager

    Use it to define the ethical scope of a new feature, forcing consideration of all affected user groups and potential harms before development starts.

FAQ

Preguntas de quienes usan AI Ethics Prover.

  • 01

    What is 'ethics washing' in the context of AI?

    Ethics washing is when an AI system makes vague ethical claims, like saying 'we are fair' or 'we checked for bias,' without providing specific, measurable data. This MCP is designed to catch those unproven, superficial claims.

  • 02

    Does using this MCP certify that my AI is ethical?

    No. This MCP is analytical support. It forces structured thinking and identifies gaps in your ethical review. It provides a rigorous audit, but it does not replace a qualified ethics review board.

  • 03

    What specific data points must I provide for bias auditing?

    You must name the protected attribute, the detection metric (like statistical parity), the measured disparity, and the acceptable threshold. Simply saying 'we checked for bias' isn't enough.

  • 04

    What happens if the capability finds a failure?

    The capability returns a specific error code (e.g., HARMS_UNQUANTIFIED) and tells you exactly which of the five axes failed. It then specifies what data you need to add to pass the audit.

  • 05

    Is this capability useful for general AI development?

    It's essential for any AI system that makes decisions affecting people's lives, like lending, hiring, or healthcare. It forces you to treat ethics as an engineering requirement, not just a PR statement.

Explora

Más en AI ML

Sugerencias