Add 'AI Pioneers such as Yoshua Bengio'

AI-Pioneers-such-as-Yoshua-Bengio.md

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+<br>Artificial intelligence algorithms need large quantities of information. The methods used to obtain this information have actually raised issues about privacy, monitoring and copyright.<br>
+<br>[AI](http://carpetube.com)-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's ability to procedure and combine large quantities of information, possibly causing a surveillance society where private activities are constantly kept track of and evaluated without sufficient safeguards or transparency.<br>
+<br>Sensitive user information collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has taped millions of personal conversations and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
+<br>AI designers argue that this is the only method to deliver important applications and have developed numerous strategies that attempt to maintain 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 started to see personal privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the question of 'what they understand' to the question of 'what they're making with it'." [208]
+<br>Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code