Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches

Elisa Omodei; Dohyung Kim; Manuel Garcia-Herranz; Vedran Sekara

doi:10.3389/fdata.2023.1301903

Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches

Front Big Data. 2023 Nov 21:6:1301903. doi: 10.3389/fdata.2023.1301903. eCollection 2023.

Authors

Elisa Omodei¹, Dohyung Kim², Manuel Garcia-Herranz², Vedran Sekara³

Affiliations

¹ Department of Network and Data Science, Central European University, Vienna, Austria.
² UNICEF, New York, NY, United States.
³ Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark.

No abstract available

Keywords: AI for social good; biases and limitations of big datasets; big data for development; computational social science; data on vulnerable populations; data science for social good; machine learning for humanitarian work.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. VS was supported by Digital Research Center Denmark (DIREC) grant P25 - Understanding Biases and Diversity of Big Data used for Mobility Analysis.