Artificial intelligence algorithms need large quantities of information. The strategies used to obtain this data have actually raised concerns about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect individual details, raising issues about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is additional worsened by AI's capability to process and integrate vast quantities of data, potentially resulting in a security society where specific activities are constantly kept track of and evaluated without sufficient safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded millions of private discussions and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent security range from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver important applications and have actually developed numerous methods that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. wrote that specialists have actually rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code