April 2025
Intermediate to advanced
388 pages
12h 49m
Portuguese (Portugal, Brazil)
Content preview from Conceber sistemas de aprendizagem automática
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Capítulo 11. O lado humano da aprendizagem automática
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Ao longo deste livro, abordámos muitos aspectos técnicos da conceção de um sistema de ML. No entanto, os sistemas de ML não são apenas técnicos. Envolvem decisores empresariais, utilizadores e, claro, os programadores dos sistemas. Discutimos as partes interessadas e os seus objectivos nos Capítulos 1 e 2. Neste capítulo, discutiremos a forma como os utilizadores e os criadores de sistemas de aprendizagem automática podem interagir com esses sistemas.
Começaremos por considerar como a experiência do utilizador pode ser alterada e afetada devido à natureza probabilística dos modelos de ML. Continuaremos a discutir a estrutura organizacional para permitir que diferentes criadores do mesmo sistema de aprendizagem automática trabalhem em conjunto de forma eficaz. Terminaremos o capítulo com a forma como os sistemas de AM podem afetar a sociedade como um todo na secção "IA responsável".
Experiência do utilizador
Discutimos longamente como os sistemas de ML se comportam de forma diferente dos sistemas de software tradicionais. Primeiro, os sistemas de ML são probabilísticos em vez de determinísticos. Normalmente, se executares o mesmo software com a mesma entrada duas vezes em momentos diferentes, podes esperar o mesmo resultado. No entanto, se executares o mesmo sistema de aprendizagem automática duas vezes em ...
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