Technology

1. Technology as a development dilemma

Technology converts knowledge into practical capability. Irrigation canals, vaccines, electricity grids, semiconductor chips and artificial intelligence belong to this broad category. Development, however, means more than possessing advanced tools: it involves improvements in health, education, dignity, security and freedom. The relationship between technology and development is therefore conditional rather than automatic. The same digital identity system can simplify access to welfare or create a barrier when authentication fails.

Three perspectives help structure an essay. Technological determinism treats technical change as the principal driver of social transformation. An instrumental view regards technology as a neutral tool whose consequences depend on its users. A socio-technical perspective goes further: design choices, ownership structures, social norms and political institutions shape both the technology and its outcomes. A platform designed to maximise engagement, for example, may reward sensational content even without an explicit intention to undermine public discussion.

The capability approach offers a useful evaluative standard: does innovation expand people’s real choices? A smartphone does not create educational opportunity without connectivity, accessible content, language support and a conducive learning environment. Gandhian concerns about human dignity and decentralisation also encourage scrutiny of technologies that displace local skills or concentrate authority. The appropriate essay thesis is not that technology is inherently liberating or oppressive, but that public purpose and institutional design determine its developmental value.

• Ask four questions: development for whom, decided by whom, at whose cost and with what accountability?
• Distinguish invention, adoption and beneficial social outcomes; success at one stage does not guarantee success at the next.

2. Productivity, employment and the distribution of opportunity

Technology raises productivity by reducing transaction costs, improving precision and enabling new products. Digital payments can facilitate small transactions; satellite information can support weather forecasting; telemedicine can connect patients with specialists. India’s Unified Payments Interface, launched in 2016, illustrates how interoperable infrastructure can support innovation across banks and payment applications. Yet adoption figures alone do not reveal whether small producers retain bargaining power or whether the gains reach disadvantaged households.

Automation creates a dilemma between aggregate efficiency and individual livelihood security. Machines may replace particular tasks while complementing others and generating new occupations. Consequently, technological change should not be described as inevitably eliminating all employment. Its effects depend on demand, the pace of adoption, labour institutions and opportunities for retraining. Generative artificial intelligence extends this uncertainty to writing, coding and routine analytical work, making some previously protected cognitive tasks susceptible to automation.

Platform work similarly combines flexibility with insecurity. App-based services can lower entry barriers, but workers may face opaque ratings, unpredictable earnings and algorithmic control without effective bargaining channels. Rajasthan’s Platform Based Gig Workers Act, 2023 illustrates an attempt to establish welfare-oriented institutional arrangements for such workers; enactment, however, is not the same as effective implementation. A development-oriented response combines innovation with portable social protection, accessible skill formation, competition policy and worker participation. Otherwise, society may socialise adjustment costs while allowing productivity gains to accrue disproportionately to a few firms.

• Evaluate employment through job numbers, job quality, wage distribution and workers’ ability to challenge automated decisions.
• Treat reskilling as necessary but insufficient when suitable jobs, time, income support or foundational education are absent.

3. Digital inclusion, rights and democratic power

Digitisation can make public administration faster, more traceable and less dependent on discretionary intermediaries. Online applications and direct payments may reduce travel costs and opportunities for rent-seeking. However, a digital-only service can exclude people lacking devices, reliable electricity, connectivity, literacy or accessible interfaces. Gender, disability, age, language and geography intersect with income to produce different forms of digital disadvantage. Meaningful inclusion requires successful use, not merely nominal access.

The privacy dilemma arises because data can improve services while enabling surveillance, profiling and manipulation. In Justice K.S. Puttaswamy v. Union of India, 2017, the Supreme Court recognised privacy as a fundamental right. This does not make every collection of personal data unconstitutional; it requires attention to legality, legitimate purpose and proportionality, alongside safeguards. The Digital Personal Data Protection Act, 2023 is relevant to this debate, but legislation must be assessed together with institutional independence, implementation capacity and accessible remedies.

Artificial intelligence adds concerns about biased training data, opaque decisions and concentrated computational power. Automated screening in recruitment or welfare may reproduce historical disadvantages while appearing objective. Meanwhile, recommender systems and synthetic media can distort public debate and weaken trust in authentic evidence. Yet blanket censorship or unrestricted state monitoring can themselves damage democracy. The balanced response is transparent governance, independent scrutiny, proportionate regulation and meaningful human review, especially when decisions affect liberty, livelihood or essential services.

• Digital public services should provide assisted access, workable alternatives and time-bound grievance redress.
• Consent alone cannot resolve every power imbalance, particularly where refusing data collection may jeopardise access to an essential service.

4. Ecological sustainability, strategic autonomy and human relationships

Technological innovation is indispensable to decarbonisation through renewable energy, efficient buildings, storage and cleaner industrial processes. Nevertheless, green technologies have material footprints. Batteries require minerals; data centres consume electricity and water; discarded electronics create hazardous waste when handled unsafely. The rebound effect further complicates progress: efficiency improvements can lower costs and encourage greater consumption, partly offsetting environmental gains. Sustainability therefore requires life-cycle assessment rather than judging a technology only at its point of use.

India’s E-Waste (Management) Rules, 2022, which took effect in 2023, provide an extended producer responsibility framework. The wider policy challenge is to promote repair, durable design, material recovery and safe livelihoods for waste workers. Electric mobility, for instance, should be evaluated alongside electricity generation, battery supply chains and urban transport planning. Replacing every private vehicle with an electric one does not by itself solve congestion or unequal access to mobility.

Technology also redistributes geopolitical power. Semiconductor supply chains, telecommunications networks and control over critical minerals influence national security and bargaining capacity. Strategic autonomy requires domestic capabilities and diversified partnerships, but complete technological isolation can increase costs and impede learning. At the personal level, connectivity can sustain relationships while attention-driven business models encourage distraction and comparison. Neither sovereignty nor human flourishing is secured merely by owning more technology; both require the capacity to choose how technology enters collective and individual life.

• Distinguish low-carbon operation from low-impact production across the entire life cycle.
• Link technological sovereignty with research capability, trusted partnerships, open standards and resilient supply chains.

5. Governing innovation and constructing an Essay answer

A constructive conclusion should replace the false choice between unrestricted innovation and blanket prohibition with responsible innovation. Regulation should be proportionate to risk: medical diagnosis, biometric identification and critical infrastructure require stronger safeguards than low-stakes applications. Public institutions should define the problem before choosing the tool, test alternatives, consult affected communities and monitor unintended effects. Procurement should consider accessibility, interoperability, security and long-term maintenance rather than the attractiveness of a technological demonstration.

For an Essay answer, begin with a concrete contrast: a digital payment completed instantly beside a pensioner unable to navigate an online service. Establish the thesis that technological advancement is a means, whereas human development is the end. Develop economic, social, ethical, environmental and geopolitical dimensions through connected arguments rather than a catalogue of examples. Include a counterargument: precaution can become obstruction if it blocks beneficial experimentation or protects inefficient incumbents. Answer it through reversible pilots, independent evaluation and stronger safeguards for high-impact uses.

Conclude with institutional commitments rather than a generic appeal for balance. These include universal foundational services, investment in public research, enforceable rights, fair competition, social protection and environmental accountability. The ultimate test is whether people retain agency over the systems that shape their lives. Development becomes genuinely technological progress when innovation enlarges human capability without treating vulnerable communities, democratic freedoms or ecological stability as expendable costs.

• Use examples to demonstrate causal arguments, not as substitutes for analysis.
• Avoid unsupported predictions about mass unemployment and unqualified claims that digital systems eliminate corruption.

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