At Artificiality, we hold a set of core beliefs that guide our values, shape our practice, and anchor our vision.
Humans are meaning-makers whose particular evolutionary history has given us a unique relationship to consciousness, mortality, and values
A review of Annaka Harris' Lights On: How Understanding Consciousness Helps Us Understand the Universe
The most dangerous AI bias is the bias of the more powerful over the less powerful.
A growing cadre of academics, activists, technologists, lawyers, and designers are confronting biases and attempting to understand and mitigate them. The attempt to grapple with AI bias will force us to confront the biases in ourselves.
Artificiality co-founders, Helen and Dave Edwards, gave a presentation at the State of Oregon's Talent Summit on AI & the Future of Work.
Regulation needs to be proactive. Here’s two ways that can happen.
In this episode, we dive into the paradox of explainability Why are there so many paradoxical observations in AI?
Autonomy relies more on relative power of the designer than it does on the quality of the explanation.
Take a listen as we take a deep dive into the paradox of personalization.
Paradoxically, the prediction of our future selves reduces our ability to freely find those selves. The younger we are, the more pernicious this effect may be. Perhaps the ultimate protection we can give our kids is the right to figure themselves out before an AI does it for them.
If Clearview is normalized, we're not who we think (or hope) we are.
What is the strategy behind this storytelling?Building loyalty when you're a monopoly.
The venture industry invested more than four times as much capital in 2019 as in 2010. But while the industry invested four times the amount of capital, it only invested in twice the number of companies.
Venture capitalists are paid to take risk—or at least that’s how it’s supposed to work.
Writing and Conversations About AI (Not Written by AI)
