Artificial Intelligence & Social Good
Artificial Intelligence can be used to make our lives better and safer in a variety of ways: It can track disease outbreaks and help fight them before they turn into a pandemic. It can detect and limit the propagation of hate speech on social media. It can help uncover biases against certain ethnic groups in policing or credit loan granting processes. It can help predict crimes before they occur. It can track food waste in restaurants to help reduce poverty. If you read about any of the world’s major problems right now, chances are AI will provide tools to help.
Prof. Bari and his lab at New York University are actively contributing to many of these efforts, in particular in the fields of disease outbreaks, climate change, gender equality, violent crimes, and poverty reduction. He and his team have been designing crime tracking tools using big data, analyzing twitter data to help identify hate speech, studying the effects of sea level rise on the global economy, and applying advanced AI techniques to understand and predict human emotions, to name just a few of their projects.
Selected Publications:
Anasse Bari, Megan Coffee. “We designed an experimental AI tool to predict which COVID-19 patients are going to get the sickest” The Conversation, 2020.
Anasse Bari, Goktug Saatcioglu. "Emotion artificial intelligence derived from ensemble learning." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), pp. 1763-1770. IEEE, 2018.
Xiangao Jiang, Megan Coffee, Anasse Bari, Junzhang Wang, Xinyue Jiang, Jianping Huang, Jichan Shi, et al. "Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity." CMC: Computers, Materials & Continua 63 (2020): 537-51.
