AI energy consumption: What it means for businesses and the power sector
AI in Action
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Navigating Priorities in Tech Decision-Making
This chapter explores the complexities of prioritization in technological decision-making, emphasizing the individuality of stakeholder agendas and the importance of the decision-maker's intentions. It delves into algorithmic bias and the responsibility of leaders to recognize their own biases while making informed decisions in a data-driven context. Ultimately, it advocates for thoughtful inquiry and a balanced approach to AI integration and data management to address emerging challenges.
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