Commissioner-designate Virkkunen falls into the trope claiming that digitalisation will provide a solution to all problems, from the #TwinTransition for the #climatecrisis, to improving public services and healthcare.

But what about its exclusionary effects, #AlgorithmicBias and #discrimination? 🤔

I really think that every marginalized group that suffered #discrimination and systemic oppression should join the discussion about #OpenSourceAI

If a black box will be distributed, regulated and trusted as #OpenSource, no human right organization will be able to inspect the dataset used to train it.

And if you can implant undetectable backdoors in a machine learning model (see https://arxiv.org/abs/2204.06974), you can much more easily implant undetectable bias that will hurt some groups of people to benefit others.

#LGBTQ people and victims of systemic #racism should really demand transparency,...before it's too late!

Planting Undetectable Backdoors in Machine Learning Models

Given the computational cost and technical expertise required to train machine learning models, users may delegate the task of learning to a service provider. We show how a malicious learner can plant an undetectable backdoor into a classifier.

^arXiv.org