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Carpenter!

Samenvatting

In machine learning, people stay responsible for defining both the available data, and the desired outcomes. The growth of knowledge and insights remains both critical and constantly dependent on developments, and therefore on professionals. Although the quality of our work can increase through the use of tools, however, through blind trust it can also lead to terrible excesses. Owning a hammer and saw doesn 't make someone a carpenter. If AI becomes more of a part of the medical profession, the demands on the doctors become even higher!

Trefwoorden
OrganisatieSaxion
InstituutAcademie AMA
LectoraatBrain & Technology
Datum2018-10-01
TypeBijdrage aan periodiek
TaalEngels

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