Can a black box be trusted?

Does our life really improve with algorithmic decision-making? Big Data-based models often reflect our very own biases of society. Further, in some cases it can be hard to look into the “black boxes”. Who can be held accountable when something goes wrong – the human or the machine? What ethical challenges are we facing and how can we protect our data?