Tnirte, Morocco – Abdel Abed is watching the other villagers digging. When one of them gets tired, he scrambles down and takes over. It has been five days since the magnitude 6.8 earthquake ripped through the mountainous regions around Marrakesh, Morocco, and Abed's daughter, nine-year-old Shaima, is still buried under the rocks. Abed still hopes she may be alive, a family member explains, and he works with almost robotic energy as excavation efforts continue in Tnirte in the High Atlas Mountains. His wife was pulled dead from the rocks yesterday.

From South Juba to Entebbe, from Marrakesh to Accra, on the cusp of technology in Africa, the need for responsible AI development and ethical data practices has never been more pressing. As technology continues to advance and shape the global economy, Africa is taking steps toward positioning itself as a leader in Artificial Intelligence (AI). Investments and innovations in AI are on the rise across the continent, with a growing number of countries beginning to develop policies and strategies to harness the power of this transformative technology. Although only a few countries have officially adopted AI strategies and policies, many more are actively working towards defining their AI policies. As philosopher and economist Amartya Sen noted, 'Development requires the removal of major sources of unfreedom that leave people with little choice and little opportunity of exercising their reasoned agency.'

Governments across the world came together in Marrakesh this past December to ratify a pact to improve cooperation on international migration. Among other objectives, the Global Compact for Migration seeks to use "accurate and disaggregated data as a basis for evidence-based policies." How can machine learning technologies help with deeply polarizing societal issues like migration? In early 2018, with support from IBM Corporate Citizenship and the Danish Ministry for Foreign Affairs, IBM and the Danish Refugee Council (DRC) embarked on a partnership aimed squarely at the need to better understand migration drivers and evidence-based policy guidance for a range of stakeholders. At the recent THINK Copenhagen keynote, the Secretary General of the DRC, Christian Friis Bach, presented the first results of this effort.

Earlier this month, an intergovernmental conference in Marrakesh, Morocco brought together leaders from around the world to address global migration. After two days of deliberations, some 150 nations signed the Global Compact for Migration (GCM) agreement, which called for the implementation of more humane policies to ensure "safe, orderly and regular migration". But the conference and the agreement were very much a platform for Western doublespeak and hypocrisy. European countries and the United States are by far not concerned with the "safety" of migrants and refugees heading for their borders. In fact, the border security industry in Europe and the US is thriving and in both places, Israel with its infamous militarised security policies is serving as a role model and a major technology supplier.

For someone who is blind or partially sighted, everyday tasks can be a pain -- choosing the right can from the pantry, for instance, or picking up the right book from the table. A smartphone could help them with this kind of problem, of course, if it knew how to identify objects and describe them to the user -- which is precisely what this app from a 12th-grade student from Toronto does. It isn't the only app out there that can tell what it's looking at, but it has the advantage of being aimed at visually impaired users and multiple languages from the start. Anmol Tukrel began working on it a year ago after learning about the possibilities of machine learning and computer vision. Related Articles When it comes to accessibility, Apple continues to lead in awareness and innovation Marrakesh Treaty will limit copyright, easing book access for blind and print-disabled worldwide Depth-sensing walker monitors and connects the elderly and mobility impaired He started making his own neural network, but found that publicly available APIs provided enough speed and accuracy that he could focus on the other parts of the app without having to start from scratch.

GENE_ARCH is a Generative Design System that combines Pareto Genetic Algorithms with an advanced energy simulation engine. This work explores its integration with a Shape Grammar, acting as GENE_ARCH’s shape generation module. The islamic patio house typology is readdressed in a contemporary context, by improving its energy-efficiency, and rethinking its role in the genesis of high-density urban areas, while respecting its specific spatial organization and cultural grounding. Field work was carried out in Marrakesh, surveying a number of patio houses, becoming the Corpus of Design, from where a shape grammar was generated. The computational implementation of the patio house grammar was done within GENE_ARCH. The resulting program was able to generate new, alternative patio houses designs that were more energy efficient, while respecting the traditional rules captured from the analysis of existing houses. After the computational system was fully implemented, it was possible to realise a large number of experiments. The first experiments kept more restrained rules, thus generating new designs that closer resembled the existing ones. The progressive relaxation of rules and constraints allowed for a larger number of variations to emerge. Analysis of energy results provide insight into the main patterns resulting from the GA search processes.