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.
Hanneke Velthuijsen (HvA): Happy Minds – A high impact stress reduction method for mental & emotional well-being in urban education In today’s society, children are increasingly experiencing stress. They face social-emotional problems more often than ever before. A promising solution to this issue appears to be mindfulness and SEL (Social-Emotional Learning). These practices teach children from an […]
Lavinia Bodale (VU): SightShare Imagine you’re missing out on the friendship and on the life experiences that make game nights unforgettable. SightShare is a game changing device that breaks barriers, enabling visually impaired and blind individuals to participate fully in card and board games. Thanks to the help of machine learning, the device recognizes different […]
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 […]