Artificial intelligence (AI), despite its unequivocal power to change the world for better, has also proved to have a shadow side to it, where malevolent use of AI systems produce outcomes which are harmful for individuals, social groups or whole communities. The increasing datafication of the contemporary societies has given an unprecedented power to data and those who own data, but also has raised concerns about the issues of privacy, representation and application. The scholarly research into the issues of algorithmic fairness and AI biases gained significant momentum after several seminal works depicting racism and sexism in AI had been brought to public attention. Yet, the AI biases and age discrimination has only recently come to attention of ageing researchers. This presentation aims to cast some light onto the way age bias and age discrimination operate within the AI systems by providing empirical examples of these practices.