Using Generative AI for Decision-Making Technologies

This technical report discusses the adoption of generative AI technologies in decision-making processes. It outlines the challenges posed by information overload, which can lead to decision paralysis and lower-quality outcomes. The report categorizes decision-making technologies into three main types: decision-making aids, optimization, and automation. Decision-making aids include tools like management information systems and business intelligence platforms, which have evolved to become more accessible through generative AI. Optimization technologies utilize methods such as mathematical optimization and simulations to enhance decision-making. The report also highlights the rise of automation in decision-making, exemplified by companies like Walmart using AI-powered negotiation platforms to streamline contract negotiations. Additionally, the report addresses concerns regarding data quality and the transparency of AI decision-making processes, emphasizing the need for clear delineation of roles between humans and AI. The potential benefits of these technologies are noted, particularly in the context of managing the complexities of modern information environments.