The Alignment Problem

'Vital reading. This is the book on artificial intelligence we need right now.' Mike Krieger, cofounder of Instagram

Artificial intelligence is rapidly dominating every aspect of our modern lives influencing the news we consume, whether we get a mortgage, and even which friends wish us happy birthday. But as algorithms make ever more decisions on our behalf, how do we ensure they do what we want? And fairly?

This thesis addresses the problem of improving the alignment of carbon nanotubes (CNTs) in transistor applications, taking a unique approach using iptycenes acting as molecular tweezers in combination with a liquid crystal solvent. As part of a project to test the effectiveness of a multi-step method, the so-called Alignment Relay Technique (ART), this work contributed evidence for the selectivity and stability of ART, as well as providing the first proof-of-concept that ART can be used to create CNT field-effect transistors (FETs).

"Unsettling, absolutely riveting, and—for better or worse—necessary reading." —Brian Christian, author of Algorithms to Live By and The Alignment Problem