AI Safety
-
Closing the Gap Between AI Principles and AI Reality
In pursuit of AI systems that are ethical and robust we are seeing the emergence of an, ironically, ethical challenge:…
Read More » -
Addressing the Full Stack of AI Concerns: Responsible AI, Trustworthy AI, Secure AI and Safe AI Explained
As AI continues to evolve and integrate deeper into societal frameworks, the strategies for its governance, alignment, and security must…
Read More » -
The Dual Risks of AI Autonomous Robots: Uncontrollable AI Meets Cyber-Kinetic Risks
The automotive industry has revolutionized manufacturing twice. The first time was in 1913 when Henry Ford introduced a moving assembly…
Read More » -
Marin’s Statement on AI Risk
The rapid development of AI brings both extraordinary potential and unprecedented risks. AI systems are increasingly demonstrating emergent behaviors, and…
Read More » -
Why We Need a Chief AI Security Officer (CAISO)
With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to…
Read More » -
The AI Alignment Problem
The AI alignment problem sits at the core of all future predictions of AI’s safety. It describes the complex challenge…
Read More » -
“Magical” Emergent Behaviours in AI: A Security Perspective
Emergent behaviours in AI have left both researchers and practitioners scratching their heads. These are the unexpected quirks and functionalities…
Read More » -
Explainable AI Frameworks
Trust comes through understanding. As AI models grow in complexity, they often resemble a "black box," where their decision-making processes…
Read More »
