Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
A Skeptic's Guide to How Cognitive Biases and Reasoning Errors Fuel AI Hype, Social Learning, The Hidden Cost of ChatGPT is the Erosion of the Digital Commons, and more.
What is complexity? How do complex problems and opportunities differ from simple & complicated? Where do we find complexity?
Our original research into the AI market, influential companies, and key products. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
The #UnthinkingAIEnthusiast's are on fire these days! Here we provide a skeptic's guide to help you separte the reality from the hype.
On April 9th, we presented our research update on the State of AI & Complex Change which focused on confusion about AI, status of AI adoption and deployments, anxiety about AI, and AI in the Wild.
Slides and videos from our February 2024 research update for Artificiality Pro
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.
OpenAI isn’t just running fast & breaking things—it’s running with scissors. And that could be a major issue in 2024.
In our Artificiality Pro update for January, we covered our 10 research obsessions for 2024.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
Rather than reactively banning technology or doubling down on ineffective surveillance, we must proactively develop new pedagogical muscles for this algorithmic age—scaffolding metacognitive discernment and critical thinking while leveraging AI as a valuable asset.
Higher ed grapples with AI: Student learning and job impact top concerns, but confidence and preparedness vary. Proactive dialogue on AI needed.
This 10-part series explores how Generative AI is transforming the future of work, from automation and augmentation to impacts on productivity, skills, emerging talents, and established leaders.
Our recommendation is to follow a five-step playbook: Diversify, Dream, Design, Develop, and Defend.
The Artificiality Weekend Briefing: About AI, Not Written by AI
