AI Pioneers such as Yoshua Bengio
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Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is further intensified by AI's ability to process and combine large amounts of data, potentially leading to a monitoring society where individual activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has recorded countless private discussions and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring variety from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only way to provide valuable applications and have developed numerous methods that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to view privacy in regards to fairness. Brian Christian wrote that professionals have actually pivoted "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code