Descripción del proyecto
Formar al público en los avances relativos a la inteligencia artificial y el aprendizaje automático
La inteligencia artificial (IA o AI, por sus siglas en inglés) y el aprendizaje automático se utilizan ampliamente en la investigación científica desde hace decenios. Recientemente, el público ha tomado conciencia de su potencial a través de modelos como DALL-E y Chat-GPT. Hasta hace pocos años, el término IA se utilizaba sobre todo en la ciencia ficción. Esto ha dado lugar a malentendidos sobre la IA y a preocupaciones sobre su repercusión. El equipo del proyecto TRAILS, financiado con fondos europeos, pretende preparar a la sociedad para los avances de la IA y su repercusión en nuestra vida cotidiana. El proyecto, de dos años de duración, se centrará en la formación del público en materia de aprendizaje automático e IA el primer año y en las herramientas y aplicaciones emergentes de la IA en la vida cotidiana el segundo.
Objetivo
The project proposal under the title TRAILS (acronym) aims to help prepare the society for large progress that has been made in the field of Artificial Intelligence (AI), emerging AI tools that are already transforming our day-to-day work, and the impact that this research will have on our society as a whole. Although AI and machine learning have been used in wide areas of science research for decades, the public has only recently become aware first-hand of their potential through open text-to-image models like DALL-E and Midjourney and large language models like Chat-GPT. Until last 2-3 years, the general public has mostly encountered the term AI in SciFi movies and literature, but the details of what it actually means were rarely covered in the general education. Thus, for the general public, AI research is one of the upcoming but great unknowns, often accompanied with a deep misunderstanding of how it really works, resulting sometimes in fears about “machines taking over our jobs”, but also in warranted concerns about how AI tools will impact education. As a part of 2-year TRAIL project (Year 1: Train, Year 2: Trail/Validate), we aim to take the general public on a deep learning trip around topics related to AI. The program of the Year 1 (TRAIN year) will be focused around “training” and familiarizing the general public with the background of machine learning and AI – historical perspective, the science behind it, what it entails with special attention given to big data side of it in terms of training models, while the Year 2 (TRAIL or Validate year) will focus more on emerging tools, applications and integration of AI in our every-day lives.
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Tema(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-CSA - HORIZON Coordination and Support ActionsCoordinador
21000 Novi Sad
Serbia