ArtificialIntelligenceArticles
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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
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
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
On the Morality of Artificial Intelligence
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
On the Morality of Artificial Intelligence
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
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