Artificial intelligence algorithms require large quantities of data. The techniques utilized to obtain this data have actually raised concerns about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to process and combine large quantities of information, possibly leading to a surveillance society where private activities are continuously monitored and evaluated without adequate safeguards or openness.

Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has recorded countless private conversations and permitted momentary workers to listen to and transcribe some 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 dishonest and a violation of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have established numerous techniques that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually started to see privacy in regards to fairness. Brian Christian wrote that experts have pivoted "from the question of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code