Machine Learning (ML) and Artificial Intelligence (AI) have had a profound impact on our lives. Domains like health and learning naturally require or are helped by human-AI interactions and decision-making. In these areas, as ML algorithms prove their value in making important decisions, humans add their distinctive expertise and judgment on social and interpersonal issues that need to be considered in tandem with algorithmic inputs of information. Some questions naturally arise. What rules and regulations should be invoked on the employment of AI, and what protocols should be in place to evaluate available AI resources? What are the forms of effective communication and coordina- tion with AI that best promote effective human-AI teamwork? In this review, we highlight factors that we believe are especially important in assembling and managing the human-AI group decision-making.