Artificial intelligence algorithms require big amounts of information. The techniques used to obtain this information have raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather personal details, raising issues about intrusive information event and unauthorized gain access to by third celebrations. The loss of privacy is additional intensified by AI's capability to procedure and integrate vast amounts of data, possibly leading to a surveillance society where specific activities are continuously kept an eye on and examined without sufficient safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded millions of private discussions and permitted short-lived employees to listen to and transcribe a few 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 a violation of the right to privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have actually established a number of techniques that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view privacy in terms of fairness. Brian Christian composed that professionals have actually pivoted "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 code