Artificial intelligence algorithms need large amounts of information. The strategies utilized to obtain this information have actually 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 data event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's ability to process and combine huge amounts of information, possibly resulting in a monitoring society where specific activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has taped millions of private conversations and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have developed several methods that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that professionals have rotated "from the question of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code