The article delves into the transformation of corporate culture into quantifiable metrics driven by AI technologies. With the rise of remote work, traditional mechanisms for cultivating culture are weakening, leading to a loss of common language among team members. In response, AI acts as a cultural translator by utilizing vast digital footprints to characterize organizations as cohesive entities.
Companies are now measuring the nuances of culture through behavior data rather than employee satisfaction surveys. By analyzing communication patterns on platforms like Slack and Teams, businesses strive to quantify their organizational DNA. This emergent field, termed ‘culture analytics’, is gaining momentum and has global applications, often relying on sophisticated data architectures, where IT departments play a crucial role in determining the efficacy of cultural assessments.
Yet, this encapsulation of culture into numerical metrics poses risks such as fostering a culture of conformity, where employees might self-censor to achieve favorable culture scores. Consequently, it raises fundamental questions about what culture means in the context of AI and calls for a deeper examination of the implications of quantifying such an inherently human aspect of organizations.
👉 Pročitaj original: CIO Magazine
