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Copyright © 2023 Pepijn van der Laan.
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Determining the value function is a difficult problem that is nonetheless key to safely and effectively using reinforcement learning

Determining the value function is a difficult problem that is nonetheless key to safely and effectively using reinforcement learning

Brian Christian – The Alignment Problem

The analogies between human and machine learning strategies are skillfully narrated, but rather drawn out.

Bayesian nets help prevent flawed statistical arguments and enable the leap from correlation to causation

Bayesian nets help prevent flawed statistical arguments and enable the leap from correlation to causation

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.

AI increasingly constrains the domain of human creativity, similar to how science has constrained Faith

AI increasingly constrains the domain of human creativity, similar to how science has constrained Faith

Marcus de Sautoy – The creativity code

Surprisingly up-beat considering its message and packed with nice examples.

Feigning intelligence is not too difficult, considering that people can be fooled in many different ways

Feigning intelligence is not too difficult, considering that people can be fooled in many different ways

Brian Christian – The most human human

Unfortunately, the book does not explicitly challenge if humans are adequate judges in the Turing test.

Turing’s suprisingly practical perspective on logic, intelligence, and machines was far ahead of his time

Turing’s suprisingly practical perspective on logic, intelligence, and machines was far ahead of his time

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 US is losing out in AI, due to a lack of long-term vision and direction

The US is losing out in AI, due to a lack of long-term vision and direction

Amy Webb – The big nine

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.

Economically speaking, AI makes prediction a commodity – and nothing more

Economically speaking, AI makes prediction a commodity – and nothing more

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.

AI outcomes reflect the thinking of the technochauvinists that built it – which may not be desirable for society

AI outcomes reflect the thinking of the technochauvinists that built it – which may not be desirable for society

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).

Compared to the Chinese tech scene, Silicon Valley is slow and complacent

Compared to the Chinese tech scene, Silicon Valley is slow and complacent

Kai-Fu Lee – AI Superpowers

Former Google China Chief explains why China will win the AI race when it comes to applications of deep learning in the physical world.

Digitization, network effects, and participation will continue to disrupt many markets

Digitization, network effects, and participation will continue to disrupt many markets

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’.

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Copyright © 2023 Pepijn van der Laan.
All rights reserved.