Q : The application of Artificial Intelligence as a dependable source of input for administrative rational decision-making is a debatable issue. Critically examine the statement from the ethical point of view. | 2024

 Q : The application of Artificial Intelligence as a dependable source of input for administrative rational decision-making is a debatable issue. Critically examine the statement from the ethical point of view.

Introduction

Artificial Intelligence (AI) is increasingly being used by governments for data analysis, predictive policing, welfare delivery, and governance automation. While AI promises efficiency and objectivity, its ethical implications raise serious concerns about accountability, bias, and human dignity.

Ethical Dimensions of AI in Administration

Ethical AspectPositive Ethical PotentialEthical Concerns / Dilemmas
1. Objectivity and RationalityAI minimizes emotional bias and personal discretion in decision-making.Algorithms may replicate hidden human biases present in data.
2. Efficiency vs Human SensitivityEnhances administrative speed and resource optimization.Lack of empathy and contextual understanding can lead to mechanical justice.
3. Accountability and ResponsibilityData-driven governance improves transparency.Who is responsible for AI errors—the programmer, the administrator, or the system?
4. Privacy and SurveillanceHelps targeted welfare delivery.May lead to mass data collection, violating individual privacy and autonomy.
5. Fairness and EqualityAI ensures uniform application of rules.Risk of algorithmic discrimination against marginalized groups.

Ethical Analysis

  • Deontological Ethics: AI must align with duty-based moral principles like justice, fairness, and respect for human dignity.
  • Utilitarian Ethics: AI should be used only when it maximizes welfare for the majority without harming vulnerable sections.
  • Virtue Ethics: Administrators must exercise wisdom and compassion, not rely blindly on technology.

Way Forward

  1. Human-in-the-loop model: Combine AI efficiency with human judgment.
  2. Ethical AI Frameworks: Ensure transparency, explainability, and accountability in algorithms.
  3. Data Ethics Training: Equip civil servants to evaluate AI decisions ethically.
  4. Legal Safeguards: Strengthen privacy and anti-discrimination laws.

Conclusion

AI can be a valuable tool, but not a moral agent. Ethical administration requires human conscience, empathy, and moral reasoning—qualities that no algorithm can replicate. Therefore, AI should assist decision-making, not replace human ethical judgment.



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