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

AI-powered devices and services, such as virtual assistants and IoT products, continually gather individual details, raising issues about information gathering and unapproved gain access to by 3rd celebrations. The loss of personal privacy is more exacerbated by AI's capability to process and integrate huge amounts of data, potentially resulting in a surveillance society where specific activities are constantly monitored and analyzed without appropriate safeguards or openness.

Sensitive user data gathered may include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has taped countless personal discussions and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually established numerous strategies that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they understand' to the concern 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