From 984bbd1bcfe6b8be6647a64e09b341db05831338 Mon Sep 17 00:00:00 2001 From: betsyschiffer1 Date: Sat, 12 Apr 2025 14:08:15 +0000 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..ca2c3e5 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms need big amounts of data. The methods used to obtain this information have raised issues about privacy, surveillance and copyright.
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[AI](https://dalilak.live)-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further intensified by [AI](http://files.mfactory.org)'s ability to procedure and integrate large quantities of data, potentially causing a security society where private activities are constantly kept an eye on and analyzed without sufficient safeguards or openness.
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Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and enabled momentary employees to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as an essential evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206] +
AI developers argue that this is the only way to provide valuable applications and have actually established numerous techniques that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian wrote that specialists have actually rotated "from the question of 'what they understand' to the concern of 'what they're making with it'." [208] +
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code \ No newline at end of file