Machine learning systems are obtaining outstanding results in several fields and are now used in various applications, products, and services. However, in order to minimize their harms and exploit their benefits, it is fundamental to understand the limits and the potentialities of algorithms that learn directly from data. In my PhD thesis, I would like to investigate how the limits of machine predictions influence the interaction between humans, computers, and big data.
Delnevo G. (2020). A Study on the Limits and Potential of Machine Predictions from a Human-Big Data-Machine Interaction Perspective. New York : Association for Computing Machinery [10.1145/3411170.3411271].
A Study on the Limits and Potential of Machine Predictions from a Human-Big Data-Machine Interaction Perspective
Delnevo G.
2020
Abstract
Machine learning systems are obtaining outstanding results in several fields and are now used in various applications, products, and services. However, in order to minimize their harms and exploit their benefits, it is fundamental to understand the limits and the potentialities of algorithms that learn directly from data. In my PhD thesis, I would like to investigate how the limits of machine predictions influence the interaction between humans, computers, and big data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
