The rising role of data-driven governance has improved public service delivery. Assess the risks of data manipulation and privacy violations.
Kartavya Desk Staff
Topic: Important aspects of governance,
Topic: Important aspects of governance,
Q3. The rising role of data-driven governance has improved public service delivery. Assess the risks of data manipulation and privacy violations. (10 M)
Difficulty Level: Medium
Reference: InsightsIAS
Why the question Data-driven governance is transforming public service delivery, yet concerns about data manipulation and privacy violations pose serious risks to democratic accountability. Key demand of the question The answer must highlight how data-driven governance has enhanced public service delivery while also assessing the potential threats of data manipulation and privacy breaches. Structure of the answer Introduction: Define data-driven governance and briefly mention its transformative impact on public administration. Body: Role in improving public service delivery: Mention targeted welfare schemes, predictive governance, and improved grievance redressal. Risks of data manipulation: Highlight risks like political exploitation, algorithmic bias, and data fabrication. Risks of privacy violations: Discuss issues like data breaches, surveillance overreach, and profiling. Conclusion: Suggest robust data protection frameworks, ethical AI practices, and transparent governance mechanisms as the way forward.
Why the question Data-driven governance is transforming public service delivery, yet concerns about data manipulation and privacy violations pose serious risks to democratic accountability.
Key demand of the question The answer must highlight how data-driven governance has enhanced public service delivery while also assessing the potential threats of data manipulation and privacy breaches.
Structure of the answer
Introduction:
Define data-driven governance and briefly mention its transformative impact on public administration.
• Role in improving public service delivery: Mention targeted welfare schemes, predictive governance, and improved grievance redressal.
• Risks of data manipulation: Highlight risks like political exploitation, algorithmic bias, and data fabrication.
• Risks of privacy violations: Discuss issues like data breaches, surveillance overreach, and profiling.
Conclusion:
Suggest robust data protection frameworks, ethical AI practices, and transparent governance mechanisms as the way forward.