This week we are leaning into multiple metaphors: AI as a mirror, UX design as a window or room, and life as information. Plus: read about Michael Levin's upcoming presentation at the Imagining Summit, Helen's Book of the Week, and our upcoming events.
It’s easy to fall prey to the design illusion that because LLMs look sleek, they must be well-designed. But aesthetics alone do not equal design. As Steve Jobs once said, “Design is not just what it looks and feels like. Design is how it works.”
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
By emphasizing critical engagement, transparency, bias mitigation, deliberate decision-making, user autonomy, and continuous education, Microsoft's research offers valuable guidelines for designing AI systems that promote appropriate reliance and user empowerment.
IBM's principles for generative AI applications underscore the necessity of a thoughtful, user-centered approach to designing GenAI applications.
In 2016, AI experts predicted radiologists would be obsolete within years as machines outperform humans. This did not transpire.
Artificiality Co-founders, Helen and Dave Edwards, were podcast guests on the Worlds of Possibility podcast, talking about AI Change Management.
A review of research by Phil Tetlock and other experts on crafting better prompts by investigating if human forecasting can be improved through the use of a large language model.
This research opens up vast possibilities for AI's role in solving complex problems but also underscores the importance of understanding and this emergent behavior especially as we head towards a world of multimodal models and agentic AI.
An inteview with Angel Acosta, founder of the Acosta Institute.
ChatGPT and similar tools can significantly alter workflows by changing how we match tasks with skills. Think of a two-by-two matrix: on one axis, you have the skill needed for a task; on the other, the worker's proficiency level.
Explore all digitized human knowledge by exploring with generative AI. Part 3 in our How to Use Generative AI series.
Developing the skill to craft effective prompts is a critical aspect of working with generative AI. It's about understanding what you want, knowing how to articulate that desire in a way the machine understands, and strategically using the AI's strengths to your advantage.
How to go beyond prompting and develop your conversational AI skills. Now, as more AI collaboration is designed inside of applications, do you still need to learn how to prompt? If you want to get the most out of AI, we would say, yes.
Sensemaking is going to change. AI will allow us to find story-less, a-narrative yet meaningful correlations. Our minds will have to be open to a new kind of awe: that which a machine can make sense of that we cannot.
The Artificiality Weekend Briefing: About AI, Not Written by AI
