Directions: Read the following passage carefully and answer the question that follows.

The rapid deployment of automated artificial intelligence systems within modern corporate environments has introduced a complex spectrum of ethical challenges. Although machine intelligence offers notable benefits such as optimized operational efficiency, automation of repetitive administrative tasks, and new avenues for organizational growth, it simultaneously presents severe concerns regarding workforce displacement, algorithmic discrimination, and the fundamental transformation of professional roles. Comprehensive upskilling programs and robust regulatory frameworks are crucial to mitigate social instability caused by the potential redundancy of workers performing structured, predictable functions. Furthermore, predictive algorithms trained on legacy datasets risk entrenching and exacerbating systemic societal prejudices, which can manifest as skewed candidate assessments or inequitable recruitment outcomes. This threatens basic principles of fairness within automated corporate governance. Ultimately, as autonomous tools assume broader responsibility in strategic decision-making, the question of liability becomes paramount: establishing who bears ultimate responsibility when an automated model makes a catastrophic error or causes demonstrable harm.

Based on the passage, which strategy is critical for minimizing the social instability caused by the integration of AI in the workforce?