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

AI-powered devices and services, such as virtual assistants and IoT products, continually gather personal details, raising concerns about intrusive information event and unauthorized gain access to by third celebrations. The loss of personal privacy is additional worsened by AI's capability to process and integrate vast amounts of information, possibly causing a security society where specific activities are constantly monitored and evaluated without sufficient safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has taped countless private discussions and enabled short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually established a number of strategies that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the concern of 'what they understand' to the question 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