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

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather individual details, raising issues about intrusive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is further intensified by AI's ability to process and integrate vast quantities of data, potentially causing a surveillance society where specific activities are constantly kept an eye on and examined without appropriate safeguards or transparency.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually taped millions of personal discussions and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have actually established a number of methods that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian composed that specialists have actually pivoted "from the question of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code