Artificial Intelligence for Social Good: A Survey
arXiv:2001.01818
Abstract
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and advance artificial intelligence to address societal issues and improve the well-being of the world. AI4SG has received lots of attention from the research community in the past decade with several successful applications. Building on the most comprehensive collection of the AI4SG literature to date with over 1000 contributed papers, we provide a detailed account and analysis of the work under the theme in the following ways. (1) We quantitatively analyze the distribution and trend of the AI4SG literature in terms of application domains and AI techniques used. (2) We propose three conceptual methods to systematically group the existing literature and analyze the eight AI4SG application domains in a unified framework. (3) We distill five research topics that represent the common challenges in AI4SG across various application domains. (4) We discuss five issues that, we hope, can shed light on the future development of the AI4SG research.
References in corpus (18)
- Sequence to Sequence Learning with Neural Networks
- A Neural Conversational Model
- Scalable and Generalizable Social Bot Detection through Data Selection
- Differentially Private Generative Adversarial Network
- Online Human-Bot Interactions: Detection, Estimation, and Characterization
- Differential Privacy and Machine Learning: a Survey and Review
- DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
- Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies
- Flexible Modeling of Epidemics with an Empirical Bayes Framework
- Artificial Intelligence for Social Good
- Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning
- Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
- Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning
- K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
- Stable Feature Selection from Brain sMRI
- Robust Optimization for Tree-Structured Stochastic Network Design
- Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
- Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
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- `It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
- Socio-Technological Challenges and Opportunities: Paths Forward
- The Arc of the Data Scientific Universe
- End-to-End Learning and Intervention in Games
- Classification, Slippage, Failure and Discovery