Cargando…
A Perspective on Building Ethical Datasets for Children's Conversational Agents
Artificial intelligence (AI)-powered technologies are becoming an integral part of youth's environments, impacting how they socialize and learn. Children (12 years of age and younger) often interact with AI through conversational agents (e.g., Siri and Alexa) that they speak with to receive inf...
Autores principales: | Bailey, Jakki O., Patel, Barkha, Gurari, Danna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155711/ https://www.ncbi.nlm.nih.gov/pubmed/34056578 http://dx.doi.org/10.3389/frai.2021.637532 |
Ejemplares similares
-
Editorial: Intelligent Conversational Agents
por: Specht, Marcus, et al.
Publicado: (2022) -
ECAsT: a large dataset for conversational search and an evaluation of metric robustness
por: Al-Thani, Haya, et al.
Publicado: (2023) -
Adapting conversational strategies in information-giving human-agent interaction
por: Galland, Lucie, et al.
Publicado: (2022) -
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement
por: Sarkar, Surjodeep, et al.
Publicado: (2023) -
Developing a Conversational Agent’s Capability to Identify Structural Wrongness in Arguments Based on Toulmin’s Model of Arguments
por: Mirzababaei, Behzad, et al.
Publicado: (2021)