Artificial intelligence algorithms require big quantities of data. The techniques used to obtain this information have actually raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect individual details, raising issues about invasive information gathering and unauthorized gain access to by third parties. The loss of privacy is further worsened by AI's capability to process and integrate huge quantities of information, potentially resulting in a surveillance society where individual activities are continuously monitored and examined without appropriate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded countless personal conversations and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent surveillance range from those who see it as an essential 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 method to deliver valuable applications and have established numerous techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code