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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about intrusive information gathering and unauthorized gain access to by third parties. The loss of personal privacy is further exacerbated by AI's ability to procedure and combine huge amounts of information, possibly leading to a security society where specific activities are continuously kept track of and analyzed without adequate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded countless private conversations and allowed momentary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range 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 provide valuable applications and have developed numerous 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 personal privacy experts, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the concern of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code