One of the most striking challenges for present legal thinking are liability issues related to machine learning. The latter is an important subset of artificial intelligence which creates mathematical models of sample of data, able to effectively perform a specific task without using instructions. On the one side, machine learning has enormous potentialities and can be used to ameliorate European citizen’s quality of life. On the other side, as choices dictated by data processing are not predictable, machine learning poses also severe risks. Given that machine learning implemented on robots may produce benefits to the society, it is necessary to steer producers in investing in new technologies. They need to make reference to a clear and certain legal framework in order to predict their exposure to liability. At any rate, one should also remember that an effective protection of potentially harmed people should be assured.
Machine learning and European product liability
Patti, Francesco Paolo
2020
Abstract
One of the most striking challenges for present legal thinking are liability issues related to machine learning. The latter is an important subset of artificial intelligence which creates mathematical models of sample of data, able to effectively perform a specific task without using instructions. On the one side, machine learning has enormous potentialities and can be used to ameliorate European citizen’s quality of life. On the other side, as choices dictated by data processing are not predictable, machine learning poses also severe risks. Given that machine learning implemented on robots may produce benefits to the society, it is necessary to steer producers in investing in new technologies. They need to make reference to a clear and certain legal framework in order to predict their exposure to liability. At any rate, one should also remember that an effective protection of potentially harmed people should be assured.File | Dimensione | Formato | |
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