Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Guía Formulación ética de proyectos de ciencia de datos



Guía Formulación ética de proyectos de ciencia de datos

Through a clear methodology and concrete examples adjusted to Chilean reality and regulations, this guide seeks to be a valuable support for planning, formulating and developing decision making or decision support systems based on artificial intelligence or algorithmic models in the public sector, preventing discrimination biases, lack of transparency or misuse of personal data, among other potential problems.

The document was developed in Chile jointly by UAI researchers and professionals from the Digital Government Division in the framework of the Ethical, Responsible and Transparent Algorithms project, with IDB Lab support.

(Spanish) A través de una metodología clara y ejemplos concretos ajustados a la realidad y la normativa chilena, esta guía busca ser un valioso apoyo para planificar, formular y desarrollar sistemas de toma de decisión o de soporte a la toma de decisión basados en inteligencia artificial o modelos algorítmicos en el sector público, evitando sesgos de discriminación, falta de transparencia o mal uso de datos personales, entre otros potenciales problemas.

El documento fue desarrollado en Chile, en conjunto por investigadores de la UAI y profesionales de la División de Gobierno Digital en el marco proyecto Algoritmos Éticos, Responsables y Transparentes, con apoyo de BID Lab.

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Tags:

  • ai ethics
  • data governance
  • fairness

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.