In this issue, we dig into the question of how AI affects expertise and skills: how AI affects mastering a complex field like coding, preserving human expertise in the age of AI, and a conversation with Matt Beane about his book, The Skill Code.
AI's impact on skill development: Balancing productivity gains with long-term expertise. Explore how AI changes apprenticeships, challenges traditional learning, and affects industries. Learn strategies to integrate AI while preserving crucial human skills and mentorship.
A conversation with UC Santa Barbara Assistant Professor Matt Beane about his book "The Skill Code: How to Save Human Ability in an Age of Intelligent Machines."
What is complexity? How do complex problems and opportunities differ from simple & complicated? Where do we find complexity?
An introduction to our new video series: Exploring Complexity
AI & Scientific Discovery, Agentic AI, Intimacy & Transcendence, Susannah Fox, and more.
Context is everything—whom you're with, where you're going, and why. Machines currently lack the ability to understand this context, but generative AI, especially modern large language models, hold the promise of changing this limitation.
An interview with Susannah Fox about her recent book, Rebel Health: A Field Guide to the Patient-Led Revolution in Medical Care.
Artificiality Co-founders, Helen and Dave Edwards, spoke about Rethinking Value in the Age of AI at the EY Innovation Realized conference at the Palace of Fine Arts in San Francisco on April 16 & 17.
Generative AI is growing quickly as individuals, corporations, and investors all try to stay ahead. The rapid change is creating optimistic visions of the future while also creating significant anxiety as people justifiably worry about their role in a future of abundant intelligent machines
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.
There is a lot of chatter about whether companies are realizing value from generative AI. Realizing value from generative AI will take time to prepare, capture, and create the data that allows generative AI to understand the context of our complex human lives.
Segment by modularizing tasks with generative AI to make them more achievable. Part 4 in our How to Use Generative AI series.
Enterprises are failing to see enough value add to justify purchasing new generative AI systems like Microsoft CoPilot. Why? Adapting to AI is a complex change that requires different methods for evaluation and change management.
Apple + Google is possibly the most important corporate frenemy relationship today. How these two companies establish their positions in generative AI is critical to watch. But how they re-position their partnership to include generative AI might be one of the most important events of the year.
The Artificiality Weekend Briefing: About AI, Not Written by AI
