Analysis of user security practices in Gen AI
Castaneda, Noah (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052716504
https://urn.fi/URN:NBN:fi:amk-2025052716504
Tiivistelmä
This thesis covers topics of generative artificial intelligence and information security. It looks at how consumers use artificial intelligence in their daily lives and their attitudes towards it and information security. The objective was to determine what kinds of personal data users give to artificial intelligence services. This thesis was guided by information security principles and recommendations made by different organizations.
The primary research method for this thesis was a survey, asking consumers what artificial intelligence services they use, how they view information security and artificial intelligence, and what kinds of data they have given artificial intelligence services. The questions in the survey were supported by research conducted by the author on artificial intelligence, information security, and recommended practices.
The thesis finds that the majority of consumers have a positive attitude towards the safety of artificial intelligence, feel comfortable using those services, and tend to share many details about themselves with the services. This thesis also finds that the largest impacting factor on how much personal data is shared is the user’s age. The data also determines that users with a cybersecurity background tend to give more personal data to artificial intelligence than those who do not.
The primary research method for this thesis was a survey, asking consumers what artificial intelligence services they use, how they view information security and artificial intelligence, and what kinds of data they have given artificial intelligence services. The questions in the survey were supported by research conducted by the author on artificial intelligence, information security, and recommended practices.
The thesis finds that the majority of consumers have a positive attitude towards the safety of artificial intelligence, feel comfortable using those services, and tend to share many details about themselves with the services. This thesis also finds that the largest impacting factor on how much personal data is shared is the user’s age. The data also determines that users with a cybersecurity background tend to give more personal data to artificial intelligence than those who do not.