Session 2
Neil D. Lawrence
MSt in AI and Ethics
What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention …
Simon (1971)
If in this book harsh words are spoken about some of the greatest among the intellectual leaders of mankind, my motive is not, I hope, to belittle them. It springs rather from my conviction that, if our civilization is to survive, we must break with the habit of deference to great men. Great men may make great mistakes; and as the book tries to show, some of the greatest leaders of the past supported the perennial attack on freedom and reason.
Ogni scarrafone è bello a mamma soja
Neopolitan expression
Data Science Africa is a bottom up initiative for capacity building in data science, machine learning and AI on the African continent
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bits/min | \(100 \times 10^{-9}\) | \(2,000\) | \(600 \times 10^9\) |
book: The Atomic Human
twitter: @lawrennd
The Atomic Human pages baby shoes 368 , cuneiform 337, 360, 390, Popper, Karl The Open Society and its Enemies 371–374, Popper, Karl: Conjectures and Refutations 327,328, Kuhn, Thomas: The Structure of Scientific Revolutions 295–299, theory induced blindness 301, model-blinkers 301,302,308, Blake, William Newton 121–123, Blake, William Newton 121–123, 258, 260, 283, 284, 301, 306, MONIAC 232-233, 266, 343, human-analogue machine (HAMs) 343-347, 359-359, 365-368, Human evolution rates 98-99, Psychological representation of Ecologies 323-327.
podcast: The Talking Machines
Guardian article on How African can benefit from the data revolution
Guardian article on Data Science Africa
blog posts: