Brian Christian – The Alignment Problem
The analogies between human and machine learning strategies are skillfully narrated, but rather drawn out.
Brian Christian – The Alignment Problem
The analogies between human and machine learning strategies are skillfully narrated, but rather drawn out.
Judea Pearl and Dana MacKenzie – The book of Why
The practical and relevant examples (health effect of smoking, impact of humanity on climate change) of causal inference alone make the book worthwhile.
Marcus de Sautoy – The creativity code
Surprisingly up-beat considering its message and packed with nice examples.
Brian Christian – The most human human
Unfortunately, the book does not explicitly challenge if humans are adequate judges in the Turing test.
Andrew Hodges – Alan Turing: The imitation game
A quite complete account of the life and death of one of the most fascinating figures of early computing.
The book’s set-up with multiple scenarios for the future works surprisingly well and is especiall concerning for European readers: Europe is almost completely irrelevant in all of Webb’s scenarios.
Ajay Argawal, Joshua Gans, Avi Goldfarb – Prediction machines
The authors see AI as just a new option for the division of labor which, although it can have rather dramatic consequences, does not support apocalyptic GAI fearmongering.
Meridith Broussard – Artificial Unintelligence
Great effort to democratize AI and peel off some layers of mistique that harm public debate (althought the case against technochauvinism seems at times a bit too shallow).
Former Google China Chief explains why China will win the AI race when it comes to applications of deep learning in the physical world.
Machine, Platform, Crowd – Andrew McAfee and Erik Brynjolfsson
Decent summary of developments with some nice examples, but not sufficiently new or surprising to classify as ‘essential reading’.