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 data. The strategies utilized to obtain this data have raised issues about personal privacy, surveillance and copyright.<br>
+<br>[AI](http://135.181.29.174:3001)-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about intrusive information event and unauthorized gain access to by third parties. The loss of privacy is more worsened by AI's capability to process and combine vast quantities of information, possibly resulting in a surveillance society where private activities are constantly monitored and evaluated without adequate safeguards or transparency.<br>
+<br>Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has tape-recorded millions of personal discussions and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this prevalent security 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]
+<br>[AI](http://47.242.77.180) developers argue that this is the only method to provide important applications and have established several strategies that attempt to maintain privacy while still obtaining the data, 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 terms of 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]
+<br>Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code