Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

LIBRA

Financiado

Leveraging artificial Intelligence to Balance tRade-offs in the digital economy

LIBRA (Leveraging artificial Intelligence to Balance tRade-offs in the digital economy) will assess and compute positive and negative impacts on AI systems on society and the environment and it will optimize them to support policy... ver más

30/04/2026

KTH

223K€

Presupuesto del proyecto: 223K€

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-03-25

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

I+D

Cerrada hace 1 año

0% 100%

2 Participantes

KTH

222.73K€ | Lider

UZH

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

TED2021-132513B-I00 HACIA UNA IA SOSTENIBLE: APRENDIZAJE CONTINUO PARA EL ENTREN... 260K€ Cerrado

PID2019-104156GB-I00 INTELIGENCIA COMPUTACIONAL AVANZADA PARA ALCANZAR OBJETIVOS... 103K€ Cerrado

EcoAI A New EU Framework for an Ecological AI 267K€ Cerrado

GECKO building GrEener and more sustainable soCieties by filling t... 4M€ Cerrado

PID2021-125780NB-I00 MEDIDA Y REPRESENTACION DE FLUJOS DE INFORMACION EN REDES NE... 70K€ Cerrado

PRE2020-094026 INTELIGENCIA COMPUTACIONAL AVANZADA PARA ALCANZAR OBJETIVOS... 99K€ Cerrado

Duración del proyecto: 25 meses Fecha Inicio: 2024-03-25
Fecha Fin: 2026-04-30

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 223K€

Descripción del proyecto LIBRA (Leveraging artificial Intelligence to Balance tRade-offs in the digital economy) will assess and compute positive and negative impacts on AI systems on society and the environment and it will optimize them to support policy-makers in Europe and beyond. Artificial Intelligence (AI) contributes to the development of the digital economy and expands the opportunities for sustainable development. However, as computing needs grow, AI systems and applications raise concerns about their environmental implications. Acknowledging this trade-off and achieving an optimal combination between the carbon footprint of AI systems and the benefits they contribute spurring is becoming a key policy concern, but remains an unresolved issue. By combining finance, AI and decision theory, LIBRA aims at filling this gap developing, testing and proposing policy-oriented innovative approaches and tools to: (i) map how investments in AI systems and applications contribute to generating carbon emissions worldwide; (ii) discover how the digital economy enables the achievement of the 17 Sustainable Development Goals (SDGs); (iii) compute the optimal balance between carbon emissions and sustainability objectives to inform national policies. LIBRA will contribute to the ongoing debate about AI and sustainability by combining approaches from computer science (i.e., Natural Language Processing and Deep Reinforcement Learning), complex systems (i.e., network science) and economics (i.e., decision theory) in a holistic framework. The project outcomes will support the discussion around the EU AI Act and the development of a solid sustainability roadmap which accounts for the growing opportunities spurred by the digital economy. LIBRA will last 24 months and it will be mainly conducted at the Royal Institute of Technology (KTH) in Stockholm (Sweden) with a secondment period at the University of Zurich (UZH) in Zurich (Switzerland).

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores