artificial intelligence

There needs to be a sophisticated understanding of the interplay between technology and societal structure

The concept of meritocracy

wherein individuals are rewarded and advance based on their abilities, achievements and hard work, rather than their social status or background, has been extensively debated. 

Proponents and critics of meritocracy offer compelling arguments about its impacts on society, highlighting its virtues and shortcomings. 

The evolution of meritocracy has witnessed significant transformations, influenced by the critiques and analyses of thinkers such as Michael Young, Michael Sandel, and Adrian Wooldridge.

Varied views

Young, a British and the book, The Rise of the Meritocracy (1958) 

1  He envisioned a future, specifically 2034, as a society where social class and mobility were determined solely by intelligence and effort, as measured through standardised testing and educational achievement.

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2 Sandel’s critique focuses on the divisive consequences, arguing that meritocracy increasing a sense of entitlement among the successful and resentment among those left behind, thereby ending social cohesion. 

3 Critical theorists, including those from the Frankfurt School

also argue on similar lines by critiquing meritocracy for masking deeper power dynamics and inequalities. 

They say that meritocracy can perpetuate social hierarchies by  the status of the elite under the guise of fairness and neutrality.

Post-structuralists challenge the notion of merit

 questioning who defines merit and how it is measured. 

They argue that concepts of merit are socially constructed and reflect the biases and interests of those in power. 

 meritocratic systems are inherently subjective and can reinforce existing inequalities.

Wooldridge

lays stress on the practical evolution of meritocracy and its potential for reform.

 In his book, The Aristocracy of Talent, he explores how meritocracy, initially a force for progress and social mobility, has inadvertently fostered new inequalities by becoming somewhat hereditary, वंशानुगतwith privileges being passed down generations. 

AI as a disruptive factor

However, introducing Artificial Intelligence (AI) into this equation completely complicates the idea of reforming meritocracy. AI, with its rapidly evolving capabilities, will be reshaping merit and the idea of meritocracy in six ways.

1  AI questions the basis of human merit by introducing a non-human entity capable of performing tasks, making decisions, and even ‘creating’ at levels that can surpass human abilities.

 If machines perform the majority of tasks previously deemed as requiring human intelligence and creativity, the traditional metrics of merit become less relevant. OpenAI’s Sora is evidence that creativity is not an exclusive human trait any more.

2 Second, the advent of AI challenges the traditional notion of individual merit by prioritising access to technology. 

Individuals with access to AI tools gain a significant advantage, not necessarily due to their personal abilities, but because of the enhanced capabilities of these tools.

3 Third, AI systems trained on historical data can perpetuate and even exacerbate biases present in that data, leading to discriminatory outcomes in areas such as hiring, law enforcement, and lending. These biases can disadvantage groups which are already marginalised.

तीसरा, ऐतिहासिक डेटा पर प्रशिक्षित एआई सिस्टम उस डेटा में मौजूद पूर्वाग्रहों को कायम रख सकता है और यहां तक कि बढ़ा भी सकता है, जिससे नियुक्ति, कानून प्रवर्तन और ऋण देने जैसे क्षेत्रों में भेदभावपूर्ण परिणाम हो सकते हैं। ये पूर्वाग्रह उन समूहों को नुकसान पहुंचा सकते हैं जो पहले से ही हाशिये पर हैं।

4 Fourth, a recent paper published in Nature Medicine showed that an AI tool can predict pancreatic cancer in a patient three years before radiologists can make the diagnosis.

 Capabilities such as this can lead to the displacement of jobs that involve routine, predictable tasks. This also means that AI would impact high-wage jobs.

Regardless of these, AI would push the workforce towards 

either high-skill, high-wage jobs involving complex problem-solving and creativity or low-skill, low-wage jobs requiring physical presence and personal interaction, which AI cannot replicate yet.

 This polarisation will exacerbate socioeconomic disparities, as individuals without access to high-level education and training are pushed towards lower-wage roles.

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5 Sixth, at the organisational level, the core of AI’s power lies in data and algorithms that process this data. Tech giants with access to unprecedented volumes of data have a distinct advantage in training more sophisticated and accurate AI models. This data hegemony means that these entities can set the standards for what constitutes ‘merit’ in the digital age, potentially sidelining smaller players who may have innovative ideas but need access to similar datasets.

Thus, recalibrating meritocracy in the face of AI advancements demands a sophisticated understanding of the interplay between technology and societal structures. It calls for a deliberate rethinking of how merit is defined and rewarded when AI tools can both augment human capabilities and deepen existing inequalities.

The views expressed are personal

Source the hindu