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

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect individual details, raising concerns about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's ability to procedure and combine vast amounts of data, possibly resulting in a surveillance society where specific activities are continuously monitored and evaluated without adequate safeguards or openness.

Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has tape-recorded countless personal conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a needed evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually established numerous strategies that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they understand' to the question 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