Courageous AI Leadership In a New York Times interview, Brené Brown describes the current state of leadership in the face
AI is reshaping how students think and learn. The one course every university should teach? Training in cognitive sovereignty—how to collaborate with AI without losing what makes thinking human.
A conversation with Adam Cutler, Distinguished Designer, IBM.
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.
By enabling different AI models to 'speak' to each other and combine their strengths, CALM opens up new possibilities for solving complex problems across various domains and tackling tasks with expertise and precision, in a data and compute efficient way.
I agree with the government that antitrust is important. That said, I would hate to see data privacy and security diminished just as we are trying to take advantage of AI’s power to be a personalized digital partner.
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.
Our April research update for Artificiality Pro will be the State of AI and Complex Change Report: Q2 2024 Update.
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.
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.
