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Inteligência Artificial tem-se desenvolvido muito rapidamente ao longo dos últimos anos, há medida que os algoritmos de machine learning vão evoluindo e ficando mais complexos, os robôs ficam cada vez mais autónomos, levando a um desenvolvimento mais rápido e à aparição de mais chatbots no suporte a variados serviços e assistentes pessoais como a Cortana e a Siri.
Esta rápida evolução permite que as empresas que adotam estas tecnologias possam vir a ganhar uma vantagem competitiva. No entanto, para que estas tecnologias se traduzam numa melhoria da performance das empresas, é de elevada importância que a Inteligência Artificial seja aceite e incentivada pelos colaboradores das empresas em questão.
Neste sentido, estudámos as teorias de aceitação da tecnologia existentes, adaptando o UTAUT para chegar a um novo modelo que permite compreender a aceitação de Inteligência Artificial. O instrumento de recolha de dados utilizado foi um questionário online que foi respondido por 321 pessoas com uma média de idades de aproximadamente 29 anos, sendo que cerca de 50% da amostra corresponde a pessoas com idades compreendidas entre os 22 e os 35 anos.
Os resultados obtidos foram bastante positivos, mostrando que a maioria das pessoas parece estar recetiva a esta tecnologia e achar que se trata de uma ferramenta útil.
Artificial Intelligence is experiencing a fast progress in the last years, as machine learning algorithms evolve into more complex algorithms, robots gain autonomy, leading to a faster development of chatbots in the support to several services and personal assistants, such as Cortana and Siri. This rapid evolution allows companies to obtain competitive advantages by adopting this type of technologies. However, in order for these technologies to improve the companies’ performance, employers, managers and employees have to accept Artificial Intelligence and foster the usage of these programs. In this sense, we studied the existent technology acceptance theories, adapting the UTAUT to develop a model to study the acceptance of Artificial Intelligence. The instrument for collecting data used was an online questionnaire, that was answered by 321 people with an average of ages of approximately 29 years and 50% of the sample had ages between 22 and 35 years. The results were very positive, showing that the generality of people seemed to be receptive to this technology, while thinking it can be an useful tool.
Artificial Intelligence is experiencing a fast progress in the last years, as machine learning algorithms evolve into more complex algorithms, robots gain autonomy, leading to a faster development of chatbots in the support to several services and personal assistants, such as Cortana and Siri. This rapid evolution allows companies to obtain competitive advantages by adopting this type of technologies. However, in order for these technologies to improve the companies’ performance, employers, managers and employees have to accept Artificial Intelligence and foster the usage of these programs. In this sense, we studied the existent technology acceptance theories, adapting the UTAUT to develop a model to study the acceptance of Artificial Intelligence. The instrument for collecting data used was an online questionnaire, that was answered by 321 people with an average of ages of approximately 29 years and 50% of the sample had ages between 22 and 35 years. The results were very positive, showing that the generality of people seemed to be receptive to this technology, while thinking it can be an useful tool.
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Inteligência artificial Teorias de aceitação da tecnologia Artificial intelligence Technology acceptance theories