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The Independent Op-Ed: Australia’s social media ban won’t protect kids – it’ll put them more at risk

Joseph Steinberg

While there is little doubt that the elected officials hope to protect children with the aforementioned act, the reality is that – as Australia has already learned in a previous case described in the article – the new law is more likely to make children less safe than more safe.

Media 277
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Human vs. Artificial Intelligence in Autonomous Systems

Security Boulevard

A common goal, as we see in many articles on AI (artificial intelligence) and ML (machine learning), is to make AI/ML systems more like humans. The post Human vs. The post Human vs. Artificial Intelligence in Autonomous Systems appeared first on Security Boulevard. Perhaps we have it backwards!

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Fooling an AI Article Writer

Schneier on Security

World of Warcraft players wrote about a fictional game element, “Glorbo,” on a subreddit for the game, trying to entice an AI bot to write an article about it. The article was left online for a while but has finally been taken down ( here’s a mirror, it’s hilarious ). It worked : And it…worked.

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The Role of Differential Privacy in Protecting Sensitive Information in the Era of Artificial Intelligence

Security Affairs

Differential privacy (DP) protects data by adding noise to queries, preventing re-identification while maintaining utility, addressing Artificial Intelligence -era privacy challenges. In the era of Artificial Intelligence, confidentiality and security are becoming significant challenges.

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Artificial Intelligence: The Biggest Dangers Aren’t The Ones We Are Discussing (Part 1)

Joseph Steinberg

While many people seem to be discussing the dangers of Artificial Intelligence (AI) – many of these discussions seem to focus on, what I believe, are the wrong issues.

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Hiding Malware in ML Models

Schneier on Security

With the widespread application of artificial intelligence, utilizing neural networks becomes a forwarding trend of malware. News article. We hope this work could provide a referenceable scenario for the defense on neural network-assisted attacks.

Malware 363
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With AI RMF, NIST addresses artificial intelligence risks

CSO Magazine

Business and government organizations are rapidly embracing an expanding variety of artificial intelligence (AI) applications: automating activities to function more efficiently, reshaping shopping recommendations, credit approval, image processing, predictive policing, and much more. To read this article in full, please click here