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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to process and integrate huge quantities of information, potentially causing a security society where specific activities are constantly kept track of and analyzed without adequate safeguards or transparency.

Sensitive user information gathered may include online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has recorded countless personal discussions and permitted short-term employees to listen to and transcribe some of them. [205] Opinions about this extensive security variety 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 designers argue that this is the only way to deliver important applications and have actually developed a number of methods that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually started to view privacy in regards to fairness. Brian Christian composed that specialists have actually pivoted "from the question of 'what they know' 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