Artificial intelligence algorithms need large amounts of data. The strategies used to obtain this data have raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about intrusive information gathering and unauthorized gain access to by 3rd celebrations. The loss of privacy is additional exacerbated by AI's capability to process and integrate huge quantities of data, possibly leading to a surveillance society where individual activities are continuously kept an eye on and evaluated without appropriate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually tape-recorded millions of personal conversations and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance range from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only method to deliver important applications and have actually established several techniques that try to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian wrote that professionals have pivoted "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, consisting of in domains such as images or computer code