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

AI-powered devices and services, such as virtual assistants and IoT items, constantly gather individual details, raising issues about intrusive information event and unauthorized gain access to by third parties. The loss of personal privacy is more worsened by AI's capability to process and integrate large quantities of information, possibly leading to a security society where individual activities are continuously kept an eye on and evaluated without sufficient safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For wiki.whenparked.com instance, in order to construct speech recognition algorithms, Amazon has recorded countless private conversations and permitted short-term workers to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring range from those who see it as a required evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI designers argue that this is the only method to provide important applications and have actually established numerous techniques that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian composed that specialists have actually rotated "from the concern of 'what they understand' to the concern 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 system code