Artificial intelligence algorithms require big amounts of information. The strategies utilized to obtain this data have raised concerns about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further exacerbated by AI's capability to process and integrate huge amounts of data, potentially resulting in a security society where private activities are constantly kept an eye on and evaluated without appropriate safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has recorded countless personal discussions and enabled temporary employees 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 dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only method to deliver important applications and have established numerous strategies that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code