Automated decision support systems (ADS) are machine-based systems that can make predictions, recommendations, or decisions influencing real or virtual environments for a given set of human-defined objectives. These systems are designed to operate with varying levels of autonomy. Over the last few years, ADS have grown exponentially in number and application areas.
En conjunto con la OECD publicamos el manual de ciencia de datos, el cual busca proveer recomendaciones técnicas a los equipos desarrolladores de sistemas de IA.
This self-assessment tool is designed to allow the mitigation of ethical risks associated with the use/application of new technologies. It is available so that the ethical performance of each system can be evaluated from the beginning.
Cada vez más, actores públicos y privados se plantean cómo escalar su impacto a través del uso de la tecnología.