Four short links: 1 July 2016
Interactive Machine Learning, Pattern Recognition Tutorials, AI Safety, and Decentralised Web
- Interactive Machine Learning (Greg Borenstein) — human-in-the-loop machine learning. What’s needed for AI’s wide adoption is an understanding of how to build interfaces that put the power of these systems in the hands of their human users. What’s needed is a new hybrid design discipline, one whose practitioners understand AI systems well enough to know what affordances they offer for interaction and understand humans well enough to know how they might use, misuse, and abuse these affordances.
- Tutorials on Topics in Statistical Pattern Recognition — a good collection of resources.
- Notes on the Safety in Artificial Intelligence Conference — In her presentation, Claire Le Goues of CMU said “before we talk about Skynet we should focus on problems that we already have.” She mostly talked about analogies between software bugs and AI safety, the similarities and differences between the two and what we can learn from software debugging to help with AI safety. Now there’s an approach I can get behind.
- How to Break Open the Web — a write-up of the decentralised web conference. We can’t just turn on a newly decentralized Internet; it looks more and more like a collection of overlays that, over time, could replace some core technologies. (via BoingBoing)