Artificial intelligence algorithms need big quantities of data. The techniques used to obtain this data have raised issues about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually gather personal details, raising issues about invasive data gathering and unapproved gain access to by third celebrations. The loss of personal privacy is additional intensified by AI's ability to procedure and integrate large quantities of data, possibly causing a surveillance society where specific activities are constantly monitored and evaluated without sufficient safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has tape-recorded countless private conversations and permitted momentary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent 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 personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have established numerous techniques that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian wrote that professionals 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 system code