MIT's AI Risk Repository: A Game-Changer for AI Security
MIT's new AI Risk Repository represents a significant leap forward in our ability to systematically identify, categorize, and mitigate AI-related risks.
Governance
On AI security governance
Latest
Unlocking the Impact: Safeguarding Against AI Security Breaches
In this article, we delve into the important topic of safeguarding against AI security breaches. We explore the various types of threats that AI systems can face, from data breaches and unauthorized access to adversarial attacks that manipulate AI algorithms.
AI Supply Chain Security
Recent incidents have highlighted the extensive impact of supply chain attacks, affecting not only traditional software systems but also AI-specific contexts.
Adversarial Attacks on AI Systems: Insights from Adversarial Policies Against Superhuman Go AIs and Beyond
Adversarial Attacks on AI Systems
AI Cyber Conflict: Mitigating Escalation Risks
Navigating the complexities of AI-driven cyber conflict requires a multifaceted approach that encompasses the development of international norms, the promotion of transparency and human oversight, and investments in AI safety research.
Dune, AI Control, and the Battle for Power
The tension between these two perspectives on AI - as a means of control and as a force to be controlled - is central to the narrative of Dune. The novel suggests that the key to navigating this dichotomy lies in maintaining a balance between technological progress and human agency...
Automating Deception
One promising avenue for improving these frameworks is through the automation of deception elements. This article explores how automated deception can bolster cybersecurity efforts, proactively misleading adversaries while gathering crucial intelligence.