project update
PROJECT UPDATE #18 - Fair-AI
In this month's project update, I would like to apprise our partners and the general public of our ethnographic study that is currently ongoing in selected schools. Three schools from two districts were selected for our ethnographic study. We classified the schools into categories 1, 2, and 3 depending on the extent of their ICT infrastructure. Our strategy going into the schools was to sit in every class in order to understand how teachers incorporated ICT into their teaching and learning. This was done for two weeks in our category 1 school while we awaited approval from the school management to commence work in category 2 and 3 schools.
To protect people, we need a different type of machine learning
Despite thousands of cybersecurity products, data breaches are at an all-time high. For decades, businesses have focused on securing the machine layer -- layering defenses on top of their networks, devices, and finally cloud applications. But these measures haven't solved the biggest security problem -- an organization's own people. Traditional machine learning methods that are used to detect threats at the machine layer aren't equipped to account for the complexities of human relationships and behaviors across businesses over time. There is no concept of "state" -- the additional variable that makes human-layer security problems so complex.