Artificial intelligence algorithms require big quantities of data. The methods utilized to obtain this data have raised concerns about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect individual details, raising concerns about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to procedure and integrate huge quantities of data, potentially leading to a surveillance society where individual activities are continuously kept an eye on and examined without sufficient safeguards or transparency.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually taped millions of private conversations and permitted temporary workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring variety from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have established numerous techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view personal privacy in regards to fairness. Brian Christian composed that specialists have rotated "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code