When a hiring algorithm mischaracterizes you and deprives you of a job, you want someone to give you the dignified consideration each job seeker deserves. When prices for an Uber ride skyrocket due to people attempting to flee from a terrorist attack, you want someone to make it possible to leave without spending $100. In both cases, we want meaningful control: a way to affect the outcome so that humans (e.g. users, designers, developers) can take responsibility and act upon it. This can be hard when artificial intelligence is embedded into a system, where it takes over decision making in myriad applications, such as the driving of a car or the pricing of services. It is therefore a challenge to design systems such that meaningful human control is maintained, and humans are still responsible for the end result. At AiTech we take up that challenge and aim to design human-AI systems such that we can keep the benefits of automation, but maintain meaningful human control at the same time.