Machinery of Grace

Machinery of Grace
Shakir Mohamed | 1345 words (~14mins). Will link to video and slides once it's ready. for TEDxLSTM: Unknown Destinations Dearest, Dearest, note how these two are alike: This harpsichord pavane by Purcell And the racer’s twelve-speed bike. The machinery of grace is always simple. These are the opening lines from a poem entitled Machines by ...

A New Consciousness of Inclusion in Machine Learning

A New Consciousness of Inclusion in Machine Learning
On LGBT Freedoms and our Support for Machine Learning in Africa This is an exploration of my thinking and my personal views. Read in · 1147 words · Soon, in two neighbouring countries in Africa, two large machine learning events will take place: one in Nairobi in Kenya, and another in Addis Ababa in Ethiopia. ...

Racialised Lives and the Life Beyond

Racialised Lives and the Life Beyond
I spoke at the 2019 Equality in Science Symposium at the Liverpool School of Tropical Medicine. This is the text of  my contribution, and you can watch the video (jump to 2:20:50). Read in 15mins. is truly an honour to be here with you today. How amazing to be in this historic city of Liverpool, ...

Talk: How Do We Support Under-represented Groups To Put Themselves Forward? 1

Talk: How Do We Support Under-represented Groups To Put Themselves Forward?
I gave a talk at the Royal Society's 2018 annual diversity conference. This is the text of  my contribution; you can also see the video here. Thank you to all the organisers of this year’s annual conference for this very special opportunity to speak to you all today. My aim today is to spark a ...

Machine Learning Trick of the Day (8): Instrumental Thinking 5

Machine Learning Trick of the Day (8): Instrumental Thinking
· Read in · 1499 words · All posts in series · trick is unlike the others we've conjured. It will not reveal a clever manipulation of a probability or an integral or a derivative, or produce a code one-liner. But like all our other tricks, it will give us a powerful instrument in our ...

Decolonising Artificial Intelligence 5

Decolonising Artificial Intelligence
· Read in 6mins · 1297 words · The Artificial Intelligence we believe to be global, is far from it. It is localised. Contained. Within restricted geographies and people. As the pressure of containment builds and the kettle begins to whistle, the call sounds.  How do we make global AI truly global?  This call will be ...

The Price of Transformation 3

The Price of Transformation
· Read in · 1200 words · We are the people who transform the world. And Transformation is needed. We need a transformation—of our thinking, communities and institutions—in which we are all truly equal, and inherited injustices are eliminated. This is as important to our social well-being today as it has ever been. True Transformation's accomplishment ...

Machine Learning Trick of the Day (7): Density Ratio Trick 2

Machine Learning Trick of the Day (7): Density Ratio Trick
· Read in · 1481 words · All posts in series · probability on its own is often an uninteresting thing. But when we can compare probabilities, that is when their full splendour is revealed. By comparing probabilities we are able form judgements; by comparing probabilities we can exploit the elements of our world that ...

Cognitive Machine Learning (2): Uncertain Thoughts 1

Cognitive Machine Learning (2): Uncertain Thoughts
· Read in · 1813 words · All posts in series  · She pined in thought,  And with a green and yellow melancholy She sat like Patience on a monument,  Smiling at grief. Was not this love indeed? [King Lear, Act 2, Scene 4, Line 117]  King Lear, Shakespeare stirs a sense of self-consciousness by invoking Patience, sitting up high; ...

Cognitive Machine Learning (1): Learning to Explain 1

Cognitive Machine Learning (1): Learning to Explain
· Read in · 1720 words · All posts in series  · is an image of the Zaamenkomst panel: one of the best remaining exemplars of rock art from the San people of Southern Africa. As soon as you see it, you are inevitably herded, like the eland in the scene, through a series of thoughts. Does it have a meaning?  Why ...