Grandparent

• One of the key figures in this, as a contributor to both the science and the debate, is Fei-Fei Li, Sequoia Professor of Computer Science at Stanford, and co-director of AI4All, a non-profit organisation promoting diversity and inclusion in the field of AI.
• One thread is the coming-of-age of the science of AI; the other is an account of her own coming-of-age as a scientist.
• The personal dimension came to the fore, she says, after what was initially a “very nerdy book” was given the thumbs-down by a colleague.

Matter becomes mind

• Her academically trained maternal grandparents found themselves on the wrong side of history during the Cultural Revolution.
• He was, says Li, the kind of parent a child might design for themselves if left to their own devices.
• Throughout The Worlds I See, Li reflects on the influence of this parental binary on her advancing career as a scientist.
• Without her father’s childlike capacity to pay total attention to random phenomena, her research might never have found its innovative path.

• Her own audacious question – “what is vision about?” – came into focus by degrees.
• For someone given to describing her enterprise in terms of revelation and revolution, her actual research on vision seems anything but visionary.
• Matter somehow becomes mind.”

  Read more:
  AI is our ‘Promethean fire': using it wisely means knowing its true nature – and our own minds

What is data?

• She becomes convinced that the principle can be applied to machine learning.
• Amazon Mechanical Turk escalated the scale and speed of their research as categories multiplied, from the original ten to thirty, a hundred, a thousand.
• For Li, the apparently humdrum conviction that learning should be driven by data rather than algorithms arrives as “a moment of epiphany”.
• Digital agents scan diverse areas of data and exchange what they have learned to generate more sophisticated modes of correlation.

Distributed intelligence

• Distributed intelligence means distributed opportunities to participate in the co-evolution of human and machine intelligence.
• Big science and high technology cease to be the exclusive preserve of specialists whose modes of knowledge are beyond the understanding of ordinary people.
• It is the dedicated school teacher, Li says, who is the real emblem of the future in human technology.

• She completed high school while supplementing the family income with a $2 an hour job in a Chinese restaurant.
• Her exams at Princeton were done by special arrangement at the hospital clinic where her mother was undergoing surgery for a deteriorating cardiovascular condition.
• If Li’s efforts can be seen as a feminist enterprise, it is perhaps because the field in which she works is dominated by male celebrities, who persist in seeing the future as a Darwinian struggle between human and machine intelligence.
• If there is an overriding theme in The Worlds I See, it is that human and artificial intelligence form a double helix.

Jane Goodall does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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