The algorithms implemented through artificial intelligence (AI) and big data projects are used in life-and-death situations. While research exists to address varying aspects of moral decision-making with algorithms, the definition of project success is not readily available. Nevertheless, researchers place the burden of responsibility for ethical decisions from AI systems on the system developers. Using a systematic literature review, this research identified 70 AI project success factors in 14 groups related to moral decision-making with algorithms. It contributes to project management literature, specifically for AI projects. Project managers and sponsors can use the results during project planning and execution.
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Recent studies have confirmed the efficacy of agile methodologies in project success. However, can projects skip several project management tasks and still deliver the expected results? How are traditional project managers engaged in agile projects? The results from this study quantify subjective and theoretical speculation on who performs the project management tasks in agile projects. Project managers are engaged in agile projects and the team, the product owner, and project sponsor are significantly involved in project management tasks. The agile coach is not a substitute for the project manager. The study identifies that agile and traditional methodologies should be updated to clarify team, product owner, and agile coach responsibilities.
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