An AI the Knows Absolutely Everything, Co-Agency and the Paradox of Autonomy, Google DeepMind on AI Assistants, State of AI Report, Omri Allouche from Gong, and more.
A running catalog of the facts & figures we publish every week in our newsletter.
In the era of generative AI, characterized by seamless co-creation and the economics of intimacy, worries about AI encroaching on agency have more existential element. They go to the essence of humanity, as machines now actively participate in significant aspects of original thought.
An AI the Knows Absolutely Everything, Co-Agency and the Paradox of Autonomy, Google DeepMind on AI Assistants, State of AI Report, Omri Allouche from Gong, and more.
In the era of generative AI, characterized by seamless co-creation and the economics of intimacy, worries about AI encroaching on agency have more existential element. They go to the essence of humanity, as machines now actively participate in significant aspects of original thought.
What is complexity science? Why is it so interesting? What can we learn from it?
What’s happening in the world of generative AI and what you can do about it. Our report covers current confusion, status, anxiety, and AI in the wild. And we include a self-assessment for organizational benchmarking.
The fundamental takeaway from this paper is that the design of true personal AI assistants necessitates a foundational shift toward responsible design principles from the outset.
The Artificiality Weekend Briefing: About AI, Not Written by AI
On a surface level, AI might seem like the perfect solution to the challenges of social learning. But is this really true? Is it actually what we want?
In science, traditional human search strategies are like wandering through a wilderness with limited visibility, relying on intuition and serendipity. AI, in contrast, can take in the whole landscape, quickly and effectively exploring the vast range of possible combinations.
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.
The future of the extended mind is not a fixed destination but an ongoing journey that requires our active participation and reflection as we redefine what it means to be human in an age of artificial intelligence.
A new study suggests that the rise of ChatGPT may be eroding the digital commons. If users turn more and more to ChatGPT and other AI models for answers and assistance, rather than posting their questions and solutions publicly, the digital commons that these models rely on will begin to decline.
New research on developing AI that builds robust world models shows an AI's ability to seek out surprise, motivation, and novelty, enabling it to navigate and understand the complexities of the world through self-driven exploration rather than just following predetermined reward pathways.
AI will force us to broaden our view of intelligence. The real success in AI development will be in discovering forms of intelligence that go beyond anything we've known, transforming how we understand and interact with the world around us.
Recent research demonstrates through empirical evidence that GPT-4 can autonomously develop pricing strategies that edge towards collusion without explicit human direction or inter-firm communication.
A running catalog of the facts & figures we publish every week in our newsletter.
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.
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.
AI & Scientific Discovery, Agentic AI, Intimacy & Transcendence, Susannah Fox, and more.
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
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.
A guide for organizational transformation for generative AI. By taking these critical steps, organizations can lay the foundation for effective use, setting themselves up for future success in an increasingly AI-driven world.
Modularize tasks with generative AI to make them more achievable.
IBM's principles for generative AI applications underscore the necessity of a thoughtful, user-centered approach to designing GenAI applications.
Access all digitized human knowledge by exploring with generative AI.
Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
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
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.
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Generative AI & Data Culture at the Starbucks Innovation Expo on May 14 & 15 in Seattle.
Artificiality Co-founders, Helen and Dave Edwards, will be attending the ASU+GSV Summit in San Diego on April 14 and 15.
The Artificiality Weekend Briefing: About AI, Not Written by AI
