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.
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 […]
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 […]
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 […]