How has the evolution of data-driven targeting from service personalization to behavioral prediction created new ethical challenges for society? Discuss with examples.
Introduction
20 words
Main Body
Data is the new oil, industries have shifted to data-driven governance. However, it has resulted to be a double-edged sword.
[Ethical challenges of data-driven governance]
(i) Increased stereotyping → B2 A2T systems are more likely to hold Pitta class stereotypes guilty.
(ii) Violation of institutional safety → Article 13 causes right to privacy. Clandestine tracking.
(iii) Black box syndrome → lack of awareness about working of data-driven systems
(iv) Regulatory loopholes → (c) Digital Personal data protection Act. Not applicable to government agencies
(v) Unequal benefits → groups like tribals in urban areas not available may be at disadvantage
[Persisting challenges]
g) Comprehensive data privacy laws
(ii) Uphold NRH principle of responsible AI
(iii) Context-based data governance
As digitization haves 4 any for future governance, we must ensure that promise of technology is balanced by ethical responsibility.
— Aryan Sirsikar · AIR 175
Conclusion
20 words
Diagram
Hierarchical structure showing 'Ethical Challenge of data-driven Governance' at the top, with branches for different challenges including increased stereotyping, violation of institutional safety, black box syndrome, regulatory loopholes, and unequal benefits.
- structured approach with clear categorization of challenges
- acknowledges both benefits and risks
- identifies specific gaps in regulatory framework
Aryan Sirsikar
Government Policies and Interventions - Design, Implementation and Issues
Government Schemes and Policies
Data governance and digital ethics
177
Total words
9
Paragraphs
analytical and policy-oriented
Tone