"The intersection of artificial intelligence (AI) and humanitarian efforts presents both promise and peril. Algorithms, which are sequence of instructions that guide a computer to perform a task, are increasingly used to make critical decisions, often with little consideration of data ethics. Brian Masinde is committed to addressing privacy, bias, and fairness challenges arising from geodata and AI."
"Masinde’s journey began at the crossroads of mathematics, statistics, and machine learning (ML). 'In my work, I noticed that sensitive data and algorithms are being used more and more, and with the evolution of ML and AI, there are lots of ethical, privacy and fairness concerns' said Masinde."
You can read the rest of the interview here: https://www.itc.nl/about-itc/centres-of-expertise/centre-for-disaster-resilience/news/2024/4/1471131/navigating-data-privacy-and-responsible-geoinformation-use-in-humanitarian-contexts-the-do-no-harm-project
