Add 'AI Pioneers such as Yoshua Bengio'

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

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+<br>Artificial intelligence algorithms require big amounts of data. The methods used to obtain this data have raised concerns about personal privacy, monitoring and copyright.<br>
+<br>AI-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is further intensified by [AI](https://atfal.tv)'s ability to process and combine vast quantities of data, possibly resulting in a monitoring society where private activities are continuously kept track of and analyzed without adequate safeguards or transparency.<br>
+<br>Sensitive user information collected may include online activity records, geolocation information, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has tape-recorded millions of private discussions and permitted short-lived employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
+<br>AI designers argue that this is the only method to deliver valuable applications and have actually established a number of methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian composed that professionals have actually rotated "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
+<br>Generative [AI](http://hitq.segen.co.kr) is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code