Emitzá Guzmán (VU): The Best Ends by the Best Means: Bringing Ethics into Software
Computer software is full of ethical problems. It manipulates voters, discriminates by people’s gender, race or social standing, raises enormous privacy problems and is often designed to be highly addictive. Very slowly, Parliaments and Congresses around the world are catching up with the tech industry that’s affecting billions of users every year. This project uses training data that consists of opinions of thousands of diverse users, developers and policymakers. By instrumentalizing the opinions of the people and training AI models to detect ethical issues, the ultimate goal is to help make software companies accountable for the ethical breaches within their software.
Sara Geven (UvA): On track: a scientifically-informed ability tracking procedure to enhance equal learning opportunities Students in the Netherlands are allocated to different educational tracks at the age of twelve based on their teacher’s recommendation. Studies show students from disadvantaged backgrounds receive less ambitious track recommendations. Even within the same school, teachers use different tracking […]
Barbara Braams (VU): The big Hoe?Zo! Show questions book a book to involve children in science and teach them scientific skills Children are naturally curious and ask a lot of questions. ‘Why do fish have scales and people don’t?’ ‘Why is it warm during summer and cold during winter?’ Unfortunately, not all children grow up […]
Pepijn van Rutten and Edcel Salumbides (VU): Respira: a laughing gas breath sensor to reduce accidents on the road Traffic accidents caused by driving under the influence of laughing gas have increased more than ten-fold in the past few years. This leads to more than 100 severe injuries and sadly, more than 20 deaths in […]