Artificial intelligence algorithms need large amounts of information. The techniques used to obtain this data have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually gather personal details, raising issues about intrusive information event and unapproved gain access to by third parties. The loss of privacy is further worsened by AI's ability to process and combine large quantities of data, potentially leading to a security society where specific activities are continuously kept track of and analyzed without sufficient safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has actually taped millions of personal discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually developed numerous methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they understand' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code