A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Societal Issues in Machine Learning: When Learning from Data is Not Enough
2019
The European Symposium on Artificial Neural Networks
It has been argued that Artificial Intelligence (AI) is experiencing a fast process of commodification. Such characterization is on the interest of big IT companies, but it correctly reflects the current industrialization of AI. This phenomenon means that AI systems and products are reaching the society at large and, therefore, that societal issues related to the use of AI and Machine Learning (ML) cannot be ignored any longer. Designing ML models from this human-centered perspective means
dblp:conf/esann/BacciuBLMOV19
fatcat:ltuya4xxvbgnpm67p6zikh34ry