Artificial intelligence algorithms need big quantities 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 personal details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further exacerbated by AI's capability to process and integrate vast quantities of information, potentially resulting in a surveillance society where specific activities are constantly kept an eye on and evaluated without adequate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, 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 security variety from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have actually established several strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see privacy in regards to fairness. Brian Christian composed that experts have rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code