Mitigation
Mitigation refers to the process of reducing the severity or impact of a potential threat or risk. In the context of data science and artificial intelligence, mitigation strategies are used to minimize the negative consequences of potential risks associated with the use of algorithms and models. This includes identifying potential biases in data, ensuring data privacy and security, and implementing measures to prevent unintended consequences of AI systems. Mitigation can also involve developing contingency plans in case of system failures or errors. Effective mitigation strategies require a thorough understanding of the potential risks and their potential impact, as well as ongoing monitoring and evaluation to ensure that the strategies remain effective over time.
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