Artificial intelligence algorithms need large amounts of data. The strategies utilized to obtain this information have raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually collect personal details, raising issues about intrusive data event and unauthorized gain access to by 3rd parties. The loss of privacy is more intensified by AI's capability to process and integrate large amounts of data, potentially resulting in a security society where specific activities are continuously monitored and analyzed without adequate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of private conversations and enabled temporary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance variety from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually developed numerous strategies that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to view privacy in regards to fairness. Brian Christian composed that professionals have actually rotated "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 system code