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Meritocracy and AI UPSC NOTE

 Meritocracy: Concept and Debates:

  • Meritocracy rewards individuals based on abilities, achievements, and hard work rather than social status.

  • It has been extensively debated, with proponents and critics offering compelling arguments about its impacts on society.

Critiques of Meritocracy:

  • Michael Young's satirical book "The Rise of the Meritocracy" (1958) envisioned a dystopian future where social class and mobility were solely determined by intelligence and effort, leading to new forms of social stratification.

  • Michael Sandel criticizes meritocracy for fostering entitlement among the successful and resentment among those left behind, eroding social cohesion.

  • Critical theorists argue that meritocracy masks deeper power dynamics and perpetuates inequalities.

Post-Structuralist Perspective:

  • Post-structuralists challenge the notion of merit, highlighting its socially constructed nature and its reflection of biases and interests of those in power.

  • They argue that meritocratic systems are subjective and can reinforce existing inequalities.

Adrian Wooldridge's Perspective:

  • Wooldridge emphasizes the practical evolution of meritocracy and its potential for reform.

  • He acknowledges the unintended consequences of meritocracy, such as new inequalities, and proposes reforms to address them.

AI's Disruptive Influence on Meritocracy:

  • Introducing Artificial Intelligence (AI) complicates reforming meritocracy in several ways.

  • AI questions human merit by introducing non-human entities capable of performing tasks surpassing human abilities.

  • Prioritizing access to AI tools can create advantages based on technology access rather than personal abilities.

  • AI systems can perpetuate biases present in historical data, leading to discriminatory outcomes.

  • AI's capabilities can lead to job displacement and polarization of the workforce, exacerbating socioeconomic disparities.

  • The opaque nature of AI algorithms challenges accountability and understanding of merit criteria.

  • Tech giants' dominance in AI and data can set standards for merit, potentially sidelining smaller players.

Recalibrating Meritocracy in the AI Era:

  • Addressing AI advancements requires rethinking how merit is defined and rewarded.

  • It demands a sophisticated understanding of the interplay between technology and societal structures.



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Learnerz IAS | Concept oriented UPSC Classes in Malayalam: Meritocracy and AI UPSC NOTE
Meritocracy and AI UPSC NOTE
Learnerz IAS | Concept oriented UPSC Classes in Malayalam
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