Name: Participatory Modelling and Simulation to Improve Ai-Based Public Social Services: Scientific Advice for Policy and Practice (en Inglés)
Price: 158807.00 COP
Availability: InStock
Author: Ahrweiler, Petra; Gilbert, Nigel
ISBN: 9783032152824

portada Participatory Modelling and Simulation to Improve Ai-Based Public Social Services: Scientific Advice for Policy and Practice (en Inglés)

Participatory Modelling and Simulation to Improve Ai-Based Public Social Services: Scientific Advice for Policy and Practice (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Ahrweiler, Petra; Gilbert, Nigel

Año

2026

Idioma

Inglés

N° páginas

199

Encuadernación

Tapa Dura

Dimensiones

23.5 x 15.5 cm

ISBN13

9783032152824

Participatory Modelling and Simulation to Improve Ai-Based Public Social Services: Scientific Advice for Policy and Practice (en Inglés)

Ahrweiler, Petra; Gilbert, Nigel (Autor) · Springer · Tapa Dura

Libro Nuevo Importado

Envío: 14 a 20 días háb.

$ 317.614$ 158.807

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 158.807

¡Envío Gratis! Llega entre el 15 Jul y el 27 Jul a Bogota, Cundinamarca. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Participatory Modelling and Simulation to Improve Ai-Based Public Social Services: Scientific Advice for Policy and Practice (en Inglés)"

This open access volume showcases a series of models - particularly agent-based simulations - that explore pressing issues on national policy agendas, engaging with frontier questions around artificial intelligence (AI), welfare-related social assessment, and value diversity. These themes have profound implications for policy, cultural and societal life. The volume underscores the role of policy modelling in addressing how AI can be made context-specific, adaptive, and responsive within the public sector. Drawing on case studies from nine countries with differing value frameworks, the models examine welfare service provision choices and assess the demands, limitations, and effects of using AI to augment or replace traditional practices. The analyses reflect the pluralism of societal norms and values, while also considering the political, economic, and social pressures that shape them. The volume advocates for a participatory methodology and socio-technical infrastructure that can enable the development of more responsible, value-sensitive, and context-aware AI, and policies to implement it. By situating AI research, innovation and policy in close collaboration with society, it offers a fresh perspective for industry and innovation leaders. Ultimately, it presents a model for how participatory design and responsible technology production can better meet societal needs.