Artificial intelligence algorithms require big quantities of information. The techniques utilized 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, continually gather individual details, raising issues about intrusive information gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is further intensified by AI's capability to process and integrate large quantities of data, possibly causing a security society where individual activities are constantly kept track of 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 build speech recognition algorithms, Amazon has taped millions of private discussions and allowed momentary workers to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as an essential 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 way to deliver important applications and have actually established numerous strategies that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code