Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further intensified by AI's capability to procedure and combine large amounts of information, possibly causing a surveillance society where specific activities are continuously kept track of and evaluated without adequate safeguards or transparency.

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded millions of personal conversations and enabled momentary workers to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually established numerous methods that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code