Publicação
Beyond Turing's Test: Developing a strategy to guide for AI-Human Discrimination
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Santos, Vítor Manuel Pereira Duarte dos | |
| dc.contributor.author | Silva, Maria Catarina de Almeida e Silva Mateus da | |
| dc.date.accessioned | 2024-10-31T12:52:29Z | |
| dc.date.available | 2024-10-31T12:52:29Z | |
| dc.date.issued | 2024-10-28 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management | pt_PT |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203777450 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/174379 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | Turing Test | pt_PT |
| dc.subject | Ethics | pt_PT |
| dc.subject | Human Intelligence | pt_PT |
| dc.subject | Human Experience | pt_PT |
| dc.subject | Thoughts | pt_PT |
| dc.subject | Emotions | pt_PT |
| dc.subject | AI Hallucination | pt_PT |
| dc.subject | SDG 8 - Decent work and economic growth | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.title | Beyond Turing's Test: Developing a strategy to guide for AI-Human Discrimination | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão dos Sistemas e Tecnologias de Informação | pt_PT |