Judea Pearl’s The Book of Why (co-authored with science journalist Dana Mackenzie) (2018) is a tantalising read. For the initial premiss of the book, I am convinced by Pearl’s description of the limitations of current tools, particularly in statistics. He describes three levels of causation:…
I’m a great admirer of the Very Short Introductions: clear, concise outlines of a topic by an expert in the field. Well, this book is certainly very short, but how good is it as an introduction? Readers hoping for a good exposition of present-day AI …
Dan Kolkmann made an interesting point in his recent post about algorithms, entitled, charmingly, ““F**k the algorithm”?: What the world can learn from the UK’s A-level grading fiasco”. The article looks at an example of algorithmic bias, and how best to deal with …
I was interested to see a new report, Machine Learning + Libraries, commissioned by the Library of Congress. Actually, the report is from LC Labs, a team in the Library Digital Strategy Directorate, so it looks as though this …
I find histories of artificial intelligence very revealing. Computing as an academic discipline is relatively recent, but AI in particular has always been a cross-over subject, something that has been studied by academics for over 75 …
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