AI and Jobs Primer | Stay Human, Chapter 8 | The Irrational Decision by Benjamin Recht | Conversations on Software Brain and with Larry Irving
First, thank you to those who sent condolences this week after the death of Dave's dad at age
Recent Publications (Page 22)
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.
Charter
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Making Decisions with Generative AI with our friends at Charter on April 10.
Artificiality Pro
Our April research update for Artificiality Pro will be the State of AI and Complex Change Report: Q2 2024 Update.
The Medium is Creating the Message
In traditional media, the role of technology has been largely to convey, distribute, or modify content created by humans. Generative AI, however, is different from any previous technology because it is creating the messages itself.
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.
A Lawsuit for a Human Future
Elon Musk's lawsuit against OpenAI and Sam Altman is the one time I would like to be on jury duty.
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.