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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about intrusive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's capability to process and integrate large quantities of data, potentially leading to a monitoring society where specific activities are constantly monitored and examined without sufficient safeguards or openness.

Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually recorded millions of private conversations and allowed short-lived employees to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance range from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have developed numerous techniques that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view privacy in regards to fairness. Brian Christian composed that professionals have rotated "from the concern of 'what they know' 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