Uploaded November 2022 | Updated September 2026, 2 weeks ago
From helping farmers adapt to climate change to predicting disease outbreaks, scientists in developing countries have begun turning to Machine Learning (ML) for more effective solutions. With this potential, however, comes the possibility for abuse, misuse, and unintended consequences. By presenting case studies from various parts of the world we will discuss the need for a wider perspective on ML ethical challenges. Moderator: Roberto Trotta, SISSA
From helping farmers adapt to climate change to predicting disease outbreaks, scientists in developing countries have begun turning to Machine Learning (ML) for more effective solutions. With this potential, however, comes the possibility for abuse, misuse, and unintended consequences. By presenting case studies from various parts of the world we will discuss the need for a wider perspective on ML ethical challenges. Moderator: Roberto Trotta, SISSA
