This piece was a contribution to the wonderful book by Gavin Brown, Chapter X in How to Get Your PhD: A Handbook for the Journey (OUP, 2021). It shares one view on how we, as scientists, can respond to diversity and inclusion, and hopefully interesting to everyone (beyond the early-career scientist). A letter to the new research student. You are entering a world of knowledge and research that is constantly changing. For so many of us, that is its allure. Yet, for all our investigations into the natural, informational, mechanistic, or structural world, nature does not shape the world of … Continue reading Inventing Ourselves: Responsibility and Diversity in Research
Was grateful to be given the opportunity to support the 2020 TechAide AI4Good conference. This is the text of the talk. You can find the video here. Greetings! It’s so great to be with you here today as part of … Continue reading Imaginations of Good, Missions for Change
I am incredibly humbled to have been able to give a short talk at the Queer in AI workshop at ICML2020. This is the text of the talk. Watch the video. Look through the slides. What an experience we are … Continue reading Queering Machine Learning
Written during the 2020 LGBTQ History Month Remembrance that takes place during February each year in the UK. Read in 5mins (800 words) Today’s queer scientist is exceptional. Exceptional as in extraordinary and remarkable; exceptional as in unusual and strange. … Continue reading Queer Exceptionalism in Science
Shakir Mohamed | 1345 words (~14mins). Will link to video and slides once it's ready. for TEDxLSTM: Unknown Destinations These are the opening lines from a poem entitled Machines by Michael Donaghy. For us here today, I hope they will … Continue reading Machinery of Grace
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 … Continue reading A New Consciousness of Inclusion in Machine Learning
[dropcap]It[/dropcap] is truly an honour to be here with you today. How amazing to be in this historic city of Liverpool, and here amongst we who work to the use of Science for Good. Thank you to the organisers for having me - how truly humbling to be part of such an inspirational panel.
Before I begin, having been recently to Ghana and now standing here in Liverpool, I would like to acknowledge and pay my respects to those people who once took that same journey. These were people neither welcomed nor respected, but instead despised and enslaved. Their spirits and memory pass through this place. Of course, Liverpool issued its apology for slavery in 1999, and remains today committed to forever remembering the slave trade and its ills. I would like us to give a moment’s silence for this remembrance. [30s silence]