Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this information have actually raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously collect personal details, raising issues about intrusive data gathering and unauthorized gain access to by third parties. The loss of privacy is additional worsened by AI's ability to process and integrate vast quantities of data, possibly leading to a surveillance society where specific activities are constantly kept an eye on and analyzed without adequate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has tape-recorded countless private conversations and permitted momentary to listen to and transcribe some of them. [205] Opinions about this prevalent security range from those who see it as an essential 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 provide important applications and have developed a number of strategies 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 terms of fairness. Brian Christian composed that professionals have actually pivoted "from the concern of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code