论文标题
通过人工智能衡量世界各地的幸福
Measuring Happiness Around the World Through Artificial Intelligence
论文作者
论文摘要
在这项工作中，我们使用公正的情绪探测器，人工智能（AI）分析了国家的幸福水平。迄今为止，研究人员提出了许多可能影响幸福的因素，例如财富，健康和安全。即使这些因素似乎都相关，但社会学家之间如何解释这些因素也没有明确的共识，并且估计这些公用事业成本的模型包括一些假设。社会科学的研究人员一直在努力确定社会的幸福水平，并通过民意调查和不同的统计方法探索与之相关的因素。在我们的工作中，通过使用人工智能，我们针对这个问题引入了一种不同且相对公正的方法。通过使用AI，我们没有假设是什么使一个人感到高兴，而是将决定从公开可用的街头录像中收集的人们的脸上发现情绪。我们通过互联网上的可用镜头分析了世界各地八个不同城市的幸福水平，发现国家在幸福方面没有统计学上的显着差异。
In this work, we analyze the happiness levels of countries using an unbiased emotion detector, artificial intelligence (AI). To date, researchers proposed many factors that may affect happiness such as wealth, health and safety. Even though these factors all seem relevant, there is no clear consensus between sociologists on how to interpret these, and the models to estimate the cost of these utilities include some assumptions. Researchers in social sciences have been working on determination of the happiness levels in society and exploration of the factors correlated with it through polls and different statistical methods. In our work, by using artificial intelligence, we introduce a different and relatively unbiased approach to this problem. By using AI, we make no assumption about what makes a person happy, and leave the decision to AI to detect the emotions from the faces of people collected from publicly available street footages. We analyzed the happiness levels in eight different cities around the world through available footage on the Internet and found out that there is no statistically significant difference between countries in terms of happiness.
