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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect individual details, raising issues about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more exacerbated by AI's ability to procedure and integrate huge amounts of information, potentially resulting in a surveillance society where individual activities are constantly kept an eye on and evaluated without appropriate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has taped millions of private conversations and enabled short-term workers to listen to and transcribe a few of them. [205] Opinions about this widespread 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 privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have established several 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 wrote that experts have pivoted "from the question of 'what they understand' to the concern 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 code