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

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising issues about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's ability to procedure and integrate huge amounts of information, potentially causing a surveillance society where specific activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually taped countless private discussions and surgiteams.com allowed temporary employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as a required evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have established a number of techniques that attempt to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that experts have actually rotated "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code