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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about invasive data gathering and unapproved gain access to by 3rd celebrations. The loss of personal privacy is further worsened by AI's ability to process and combine vast quantities of information, possibly leading to a surveillance society where individual activities are constantly kept an eye on and examined without appropriate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has actually taped countless personal conversations and permitted short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring variety from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually established a number of strategies that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code