Artificial intelligence algorithms require large quantities of data. The methods utilized to obtain this information have raised issues about personal privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously gather personal details, raising concerns about intrusive data gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is more exacerbated by AI's ability to process and combine large quantities of data, possibly resulting in a monitoring society where specific activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has recorded countless private conversations and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this prevalent monitoring range from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only way to deliver important applications and have established a number of methods that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to see privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code