Artificial intelligence algorithms need big quantities of data. The strategies used to obtain this data have actually raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continuously collect personal details, raising issues about invasive information gathering and unauthorized gain access to by third parties. The loss of personal privacy is additional intensified by AI's ability to process and combine large amounts of information, potentially resulting in a surveillance society where individual activities are constantly kept an eye on and examined without adequate safeguards or openness.

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has actually tape-recorded millions of personal discussions and enabled momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have actually established a number of methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to see privacy in terms of fairness. Brian Christian wrote that specialists have pivoted "from the concern of 'what they know' to the question 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 code