Artificial intelligence algorithms need large quantities of information. The techniques 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, continuously gather personal details, raising issues about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's capability to procedure and integrate large amounts of information, potentially resulting in a monitoring society where specific activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has recorded countless personal discussions and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance 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 designers argue that this is the only method to deliver important applications and have developed a number of techniques that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian composed that experts have rotated "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code