Artificial intelligence algorithms require large quantities of information. The methods utilized to obtain this data have raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising issues about intrusive information event 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 quantities of information, potentially leading to a surveillance society where specific activities are continuously monitored and analyzed without adequate safeguards or openness.

Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has taped millions of private discussions and permitted short-lived workers to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver important applications and have actually established a number of techniques that try to maintain personal 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 begun to see privacy in regards to fairness. Brian Christian composed that specialists have rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is on unlicensed copyrighted works, including in domains such as images or computer code