The use of learning algorithms has grown dramatically in recent years and businesses have been quick to realize the monetization potential of big data analysis and automation. Algorithms are used in crucial decision-making points, such as to sway hiring and admission decisions, set insurance premium rates, and even inform judicial rulings. In a data-driven world, a lot can go wrong: Algorithmic decision-making could result in errors, bias, manipulation, and the risk of perpetuating social injustices. This brave new world also means changes in human behavior and adjustments of currently entrenched social norms. Comprised of leading scholars in the field of law and technology, this panel is dedicated to unpacking the reciprocal influence of humans and algorithms and the importance of ethics in this ongoing relationship.