Artificial intelligence algorithms need large amounts of data. The methods utilized to obtain this data have actually raised issues about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about invasive information event and unapproved gain access to by third parties. The loss of privacy is additional worsened by AI's ability to process and integrate huge amounts of information, possibly leading to a surveillance society where individual activities are constantly monitored and examined without adequate safeguards or transparency.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has taped millions of private conversations and permitted short-lived employees 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 unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have established several methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code