From c94af4085f57f6cbd6352041da296c05ddd045c5 Mon Sep 17 00:00:00 2001 From: ramonblakey09 Date: Fri, 4 Apr 2025 18:00:39 +0300 Subject: [PATCH] Add 'AI Pioneers such as Yoshua Bengio' --- AI-Pioneers-such-as-Yoshua-Bengio.md | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 AI-Pioneers-such-as-Yoshua-Bengio.md diff --git a/AI-Pioneers-such-as-Yoshua-Bengio.md b/AI-Pioneers-such-as-Yoshua-Bengio.md new file mode 100644 index 0000000..4d93544 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms need large amounts of information. The strategies used to obtain this data have raised concerns about personal privacy, security and copyright.
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[AI](http://git.eyesee8.com)-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about invasive information gathering and unapproved gain access to by third parties. The loss of privacy is additional worsened by AI's ability to process and integrate vast quantities of data, potentially resulting in a security society where individual activities are constantly monitored and analyzed without appropriate safeguards or [wiki.myamens.com](http://wiki.myamens.com/index.php/User:ShastaBoettcher) transparency.
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Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded millions of private discussions and permitted temporary employees to listen to and transcribe a few of them. [205] Opinions about this extensive security variety from those who see it as a necessary evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206] +
[AI](https://network.janenk.com) designers argue that this is the only way to provide important applications and have actually developed several techniques that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the question of 'what they know' to the concern of 'what they're finishing with it'." [208] +
Generative [AI](http://139.199.191.27:3000) is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code \ No newline at end of file