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

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect personal details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to process and integrate large amounts of information, potentially causing a monitoring society where private activities are continuously kept track of and examined without adequate safeguards or openness.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has taped millions of personal discussions and permitted short-term workers to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide important applications and have actually established several techniques that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to see privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code