Starbucks Innovation Expo
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 Pro
Our April research update for Artificiality Pro will be the State of AI and Complex Change Report: Q2 2024 Update.
Tools to Understand Appropriate Reliance on AI
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.
Good, Better, Best Generative AI Design
IBM's principles for generative AI applications underscore the necessity of a thoughtful, user-centered approach to designing GenAI applications.
Worried That AI Might Make You Obsolete?
In 2016, AI experts predicted radiologists would be obsolete within years as machines outperform humans. This did not transpire.
Worlds of Possibility Podcast
Artificiality Co-founders, Helen and Dave Edwards, were podcast guests on the Worlds of Possibility podcast, talking about AI Change Management.
Craft Better Prompts: Using AI to Improve Your Predictions
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.
How Network Theory Might Explain Emergent Abilities in AI
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.
Angel Acosta: Contemplation, Healing, and AI
An inteview with Angel Acosta, founder of the Acosta Institute.
How Task Skill and Worker Proficiency Interact with GenAI
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.