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.
Matteo Mazzanti (UvA): Novel quantum logic gates architecture with trapped ions and optical tweezers There are complex problems that classical computers struggle to solve. For example, route optimization, drug design, and material discovery all require extraordinary computational power. Quantum computers are central in the solution to this problem. However, today’s quantum computers are difficult to […]
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 […]
Youssef El Bouhassani (HvA): Modular content as a necessary condition for unlocking the potential of algorithms in personalised education The promise of AI to reduce the workload of teachers and create equal opportunities for students is not here yet. The methodology and tools to create modular content, allows both teachers and algorithms to provide personalized […]