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

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of personal privacy is more worsened by AI's ability to procedure and integrate large amounts of data, potentially leading to a monitoring society where specific activities are continuously kept track of and analyzed without sufficient safeguards or openness.

Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually taped millions of personal conversations and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a necessary evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually developed several strategies 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 professionals, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the concern 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