AHAGAI – Day 3 of 30 – Kaizen and the method of continual improvement in the era of AI

What is AHAGAI and why am I doing this? I did a brief podcast about what this is and what to expect [see below]. But in a nutshell, I'm trying to distill thousands of years of knowledge across cultures and time periods from across the world, to the most actionable points that can be used [...]

Episode 11 – How to use Generative AI to be a better person – Daemon Behr

Accelerating Personal Growth with Generative AI This episode serves as a precursor to an ambitious project I’ve embarked upon. My goal is to create workshops for my peers, focusing on how generative AI can improve efficiency, foster growth, and tackle challenges that once seemed insurmountable. This journey, however, is not just about workshops—it’s about exploring [...]

Addressing Gaps in Open-Source LLM Vulnerability Scanners

Overview The paper "Insights and Current Gaps in Open-Source LLM Vulnerability Scanners" critically examines the capabilities and shortcomings of various open-source vulnerability scanners for large language models (LLMs). As LLMs integrate into critical applications, ensuring their security becomes paramount. The article provides a comparative analysis and practical guidance for those involved in securing AI systems. [...]

Who are the international organizations that create and guide AI standards?

The landscape of artificial intelligence (AI) and machine learning (ML) development is shaped by a diverse array of international organizations, each contributing to the advancement and standardization of these technologies. From industry consortia to intergovernmental bodies , these organizations play crucial roles in benchmarking, policy-making, and ethical governance of AI systems worldwide. AI Standards Organizations: [...]

Trust and bias in AI – public sentiment and regulatory frameworks

How do we have trust in a system that operates without oversight and inherent security? Trust and bias in artificial intelligence (AI) are becoming increasingly important issues as AI systems are being deployed in a variety of settings, including criminal justice, healthcare, and hiring. At the same time, the public's sentiment towards AI is complex, [...]