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Beyond Turing's Test: Developing a strategy to guide for AI-Human Discrimination
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Orientador(es)
Resumo(s)
This thesis pursues the development of a strategy that aims to be a tool of support for
everyday individuals and business owners, in their daily interactions, to identify when their
subject of conversation is artificial intelligence. Artificial Intelligence has been on the rise for
the last years and has become part of all of our lives, either in work, social media or even in
the news. It’s a topic that we might know of, but are not familiar with or comfortable around.
This study delved into understanding Artificial Intelligence as a concept and focused on
gathering information regarding existing tests for the discrimination of AI from humans and
ethics concerns regarding the topic. As it is an evolving topic, an all-around agreeable test
hasn’t been developed that is able to accurately differentiate Artificial Intelligence from
humans, and that task becomes even more challenging with the rapid evolution of the area.
The thesis proposes a strategy made up of multiple tests that aim to support everyday
individuals and businesses in their daily interactions. The strategy did not provide an absolute
certain result; however, it did conclude and evaluate that testing humans and the machine on
their patience with dealing with repetitive questions and disrespectful behavior, there is a
noticeable response difference between both subjects.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Artificial Intelligence Turing Test Ethics Human Intelligence Human Experience Thoughts Emotions AI Hallucination SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure