Algorithms and Models for BIAS Reduction in AI Implementation for Dynamic Organizational Environments
Algorithms and Models for BIAS Reduction in AI Implementation for Dynamic Organizational Environments

Summary/Abstract: This paper examines the role of Artificial Intelligence in facilitating the management of organisational change, with a particular focus on the use of data analytics and algorithms to identify possible sources of biases in automated decisionmaking processes. The main objective is to identify techniques and models that can minimise these biases and to assess the impact of their reduction on organisational performance and culture. In order to extend the applied research to the implementation of AI solutions in a branch of a leading company in the FMCG industry, present in multiple market segments both in Romania and in other European countries, it is essential to identify in advance the potential sources of biases that could negatively influence the activity and communication within the organisation. Thus, this research investigates algorithms and methods to reduce biases, proposing appropriate solutions to minimise them in automation and change processes by integrating AI in organisational activity.

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