Artificial intelligence algorithms require large quantities of information. The techniques used to obtain this information have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually gather individual details, raising concerns about intrusive information gathering and unauthorized gain access to by third celebrations. The loss of privacy is further exacerbated by AI's ability to process and combine large amounts of information, possibly causing a monitoring society where private activities are constantly kept track of and evaluated without sufficient safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually taped countless private conversations and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive monitoring variety from those who see it as a needed evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI designers argue that this is the only method to deliver important applications and have actually established numerous 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 begun to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code