Artificial intelligence algorithms require big amounts of data. The methods utilized to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI’s ability to process and integrate large quantities of information, possibly resulting in a surveillance society where individual activities are continuously kept track of and examined without sufficient safeguards or transparency.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has actually recorded millions of personal discussions and allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI argue that this is the only way to provide important applications and have actually developed several strategies that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian wrote that specialists have pivoted “from the question of ‘what they know’ to the question of ‘what they’re finishing with it’.” [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code