A combined network and machine learning approaches for product market forecasting
By Fan et al.: https://arxiv.org/abs/1811.10273
#Technology #Physics #Society @ArtificialIntelligenceArticles
By Fan et al.: https://arxiv.org/abs/1811.10273
#Technology #Physics #Society @ArtificialIntelligenceArticles
The statistical mechanics of Twitter
Paper : https://arxiv.org/abs/1812.07029
#Physics #Society #StatisticPhysics
Paper : https://arxiv.org/abs/1812.07029
#Physics #Society #StatisticPhysics
Defending Against Neural Fake News
Zellers et al.: https://arxiv.org/abs/1905.12616
#ArtificialIntelligence #DeepLearning #Society
Zellers et al.: https://arxiv.org/abs/1905.12616
#ArtificialIntelligence #DeepLearning #Society
arXiv.org
Defending Against Neural Fake News
Recent progress in natural language generation has raised dual-use concerns. While applications like summarization and translation are positive, the underlying technology also might enable...
DyANE: Dynamics-aware node embedding for temporal networks
Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto : https://arxiv.org/abs/1909.05976
#Physics #Society #MachineLearning #SocialNetworks
Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto : https://arxiv.org/abs/1909.05976
#Physics #Society #MachineLearning #SocialNetworks
A Guide for Ethical Data Science
A collaboration between the Royal Statistical Society (RSS) and the Institute and Faculty of Actuaries (IFoA) : https://www.statslife.org.uk/news/4292-rss-and-ifoa-publish-new-ethical-guidance-on-data-science
#datascience #ethics #society
A collaboration between the Royal Statistical Society (RSS) and the Institute and Faculty of Actuaries (IFoA) : https://www.statslife.org.uk/news/4292-rss-and-ifoa-publish-new-ethical-guidance-on-data-science
#datascience #ethics #society
On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Eun Seo Jo and Timnit Gebru : https://arxiv.org/abs/1912.10389
#MachineLearning #ArtificialIntelligence #Society
Eun Seo Jo and Timnit Gebru : https://arxiv.org/abs/1912.10389
#MachineLearning #ArtificialIntelligence #Society
On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Nanni et al.: https://arxiv.org/abs/2004.05222
#Covid19Response #Data #Society #SocialNetworks
@ArtificialIntelligenceArticles
Nanni et al.: https://arxiv.org/abs/2004.05222
#Covid19Response #Data #Society #SocialNetworks
@ArtificialIntelligenceArticles