As artificial intelligence (AI) systems become more widely used, awareness of the fairness issues associated with such systems is increasing. Real world systems have been found to discriminate against marginalized groups and governments are starting to see fairness concerns as a significant risk associated with the use of AI. AI practitioners have many tools to address these concerns, but it is difficult to determine which tools are most appropriate. To assist AI practitioners, we provide a solution-oriented systemic overview of fairness in AI. We divide the AI system into five areas of concern and identify the AI fairness tools associated with each area. We find there are numerous tools for identifying and addressing fairness concerns that can be practically implemented in AI systems.