Artificial Intelligence: Don't Let A Biased Algorithm Ruin Your Business

The COVID-19 crisis and recent data breaches have highlighted the importance of trustworthy data processing. In its white paper on artificial intelligence, the European Commission also emphasised that trustworthiness is a prerequisite for the adoption of digital technology. Ethical AI is one of the EU's key goals. Algorithmic biases are a particular risk that can undermine the trustworthiness of AI, and everyone developing or adopting AI applications should be prepared to deal with such biases.

AI is Biased and Can Lead to Discrimination

AI is biased by default, as its functioning is based on data and rules that are input and defined by people. This bias can arise for a number of reasons. The data used to train AI could be factually incorrect, incomplete or otherwise prone to cause algorithmic bias. The algorithm used by the AI could also have been developed to give weight to certain grounds for discrimination, such as gender or language. Biases are significant