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

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather individual details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional worsened by AI's capability to procedure and integrate large quantities of information, potentially leading to a security society where specific activities are constantly kept an eye on and analyzed without adequate safeguards or transparency.

Sensitive user data collected might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually recorded millions of private discussions and allowed short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as a necessary 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 deliver important applications and have developed several methods that try to maintain personal privacy while still obtaining the data, wiki.myamens.com such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the question of 'what they know' to the question 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 system code