AÑO
2021
CATEGORÍA
Aprendizaje y Juego
OBJETIVOS
Educación de calidad, Navegar por la sociedad post factual, Equilibrar la inteligencia humana y artificial
PAL. CLAVE
algorithm, machine learning , unconscious bias, Digital Information, Learning platform
PAÍS
United States of America
CRÉDITOS
Artefact
LINK
https://www.artefactgroup.com/case-studies/most-likely-machine/
The Most Likely Machine
Helping children develop algorithmic literacy
The Most Likely Machine prototype is a digital learning experience that introduces pre-teens to important ideas around digital literacy, starting with the foundation of so much of our digital world: algorithms.
Designed for both individual exploration and to supplement classroom curriculum, the Most Likely Machine learning experience helps pre-teens understand algorithmic bias and recognize its impact, enabling them to grow into more conscious, savvy, and responsible consumers, creators, and digital citizens.
Algorithmic literacy is an essential skill that sits at the intersection of math, social studies, civics, and media literacy. While many pre-teens are taught the concept of algorithms as foolproof mathematical or computer science tools, we saw an opportunity to develop an experience that examines the ethics and justice of algorithms.