Why Working Memory Limits Make Expert-AI Collaboration Work Expertise is shaped by a simple cognitive limit: we can hold only
In our Chronicle study tracking how over 1,000 professionals adapt psychologically to AI, the highest-performing AI collaborators were using AI to help them build better abstractions.
This week we explore the evolving boundaries between human and artificial intelligence across multiple dimensions. We examine how AI multiplies
Our original research into the human experience of AI. 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.
Explore Apple's AI research strategy, focusing on privacy, efficiency, and seamless user experiences. Discover advancements in context understanding, model compression, multimodal interactions, and reference resolution that could revolutionize Siri and AI-driven features across Apple's ecosystem.
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.
