BharatNotes Why Technology Ethics Matters for UPSC
The GS-IV paper increasingly demands that candidates engage with contemporary ethical dilemmas arising from technological advancement. Questions on AI ethics, surveillance, data privacy, climate justice, and bioethics are no longer fringe topics — they test the candidate's ability to apply classical ethical frameworks (Kantian ethics, utilitarianism, virtue ethics) to 21st-century challenges.
For Mains: In GS-IV, technology ethics questions may appear as direct questions ("Discuss the ethical implications of facial recognition technology") or as case studies requiring ethical reasoning. The key is to identify the competing values at stake — security vs privacy, innovation vs precaution, economic growth vs environmental protection — and reason through them systematically.
Ethics of Artificial Intelligence
Core Ethical Concerns in AI
| Concern | Description |
|---|---|
| Bias and fairness | AI systems can inherit and amplify biases present in training data — leading to discriminatory outcomes in hiring, lending, criminal justice, and healthcare |
| Transparency and explainability | Many AI systems (particularly deep learning) operate as "black boxes" — their decision-making process is opaque even to their creators |
| Accountability | When an AI system causes harm, who is responsible? The developer, the deployer, the user, or the AI itself? |
| Autonomy and consent | AI-driven personalisation and recommendation engines can manipulate human behaviour without informed consent |
| Job displacement | Automation threatens livelihoods, particularly for low-skilled workers — raises questions of distributive justice |
| Safety and reliability | AI systems in critical applications (autonomous vehicles, medical diagnosis, military) must be safe and reliable — errors can be fatal |
| Concentration of power | AI development is concentrated among a few large technology companies and nations, creating power asymmetries |
The COMPAS Case — Algorithmic Bias in Criminal Justice
| Aspect | Detail |
|---|---|
| What is COMPAS? | Correctional Offender Management Profiling for Alternative Sanctions — a software tool used by US courts to assess the likelihood of a defendant reoffending (recidivism risk) |
| Developer | Northpointe (now Equivant) |
| ProPublica investigation (2016) | Analysis of over 10,000 defendants in Broward County, Florida, found that Black defendants were 77% more likely to be flagged as higher risk of future violent crime and 45% more likely to be predicted to commit any future crime — compared to white defendants |
| False positive disparity | Black defendants who did not reoffend were almost twice as likely to be incorrectly classified as high risk compared to white defendants who did not reoffend |
| The fairness paradox | Subsequent research showed that it is mathematically impossible to satisfy multiple definitions of fairness simultaneously — a system can be calibrated equally across races but still have different error rates |
| Ethical lesson | Algorithmic tools in high-stakes decisions (criminal sentencing, bail, parole) can systematise and entrench existing societal biases — technical accuracy alone does not guarantee ethical outcomes |
Bias in Hiring Algorithms
Amazon's experimental AI recruiting tool (reported in 2018) was found to systematically downgrade resumes that contained the word "women's" (e.g., "women's chess club") and penalised graduates from all-women's colleges. The tool was trained on 10 years of hiring data that reflected existing gender imbalances. Amazon scrapped the tool.
For Mains: When answering questions on algorithmic bias, apply the Rawlsian "veil of ignorance" framework — would the algorithm be considered fair if we did not know which group we belonged to? Also apply the Kantian categorical imperative — are individuals being treated as ends in themselves, or merely as data points for optimisation?
EU AI Act — The First Comprehensive AI Regulation
| Feature | Detail |
|---|---|
| Full name | Regulation (EU) 2024/1689 — adopted in 2024 |
| Significance | The first comprehensive legal framework for AI regulation in the world |
| Approach | Risk-based — different rules for different levels of risk |
Risk Categories Under the EU AI Act
| Risk Level | Examples | Regulatory Treatment |
|---|---|---|
| Unacceptable risk | Social scoring by governments, cognitive behavioural manipulation of vulnerable persons, real-time biometric identification in public spaces (with narrow exceptions) | Prohibited |
| High risk | AI in critical infrastructure, education, employment (hiring/screening), law enforcement, migration, administration of justice | Strict requirements — risk assessment, data quality, documentation, transparency, human oversight, accuracy |
| Limited risk | Chatbots, deepfake generators | Transparency obligations — users must be informed they are interacting with AI |
| Minimal/no risk | AI-enabled video games, spam filters | Unregulated — the majority of current AI applications |
Implementation Timeline
Prohibitions on unacceptable-risk systems began applying from 2 February 2025. High-risk system obligations will apply 36 months after entry into force. General-purpose AI transparency rules apply 12 months after entry into force.
For Mains: India does not have a comprehensive AI regulation comparable to the EU AI Act. India has taken a principles-based approach through NITI Aayog's "Responsible AI" papers (2021). The ethical question is whether India should regulate AI proactively (precautionary principle) or allow innovation to flourish and regulate reactively. This involves balancing innovation with protection of fundamental rights.
Surveillance Ethics
The Ethical Dilemma
Surveillance technology creates a fundamental tension between two legitimate values: state security and individual privacy. The ethical question is not whether surveillance is ever justified, but under what conditions and with what safeguards.
The Aadhaar Debate
| Ethical Dimension | Detail |
|---|---|
| Inclusion argument | Aadhaar enables the poorest citizens to access government services, subsidies, and financial inclusion — a utilitarian argument for the greatest good |
| Privacy concern | Centralised biometric database creates risks of mass surveillance, data breaches, and function creep — originally meant for welfare delivery, it has been linked to tax compliance, mobile registration, and bank accounts |
| Supreme Court ruling | In K.S. Puttaswamy vs Union of India (2018), the Court upheld Aadhaar for welfare delivery and income tax but struck down its mandatory use for mobile registration and bank accounts — applied the proportionality test |
| Ethical framework | The proportionality principle — the means (surveillance/data collection) must be proportionate to the end (welfare delivery vs mass profiling) |
Pegasus Spyware Controversy
| Aspect | Detail |
|---|---|
| What is Pegasus? | A military-grade spyware developed by the Israeli company NSO Group that can infiltrate smartphones and extract messages, emails, photos, and activate cameras and microphones |
| The revelation | In July 2021, the "Pegasus Project" (a consortium of media organisations) alleged that over 50,000 phone numbers worldwide were targeted, including approximately 300 Indian phone numbers belonging to journalists, human rights defenders, lawyers, opposition politicians, and government officials |
| Supreme Court response | In October 2021, the Supreme Court ordered an independent investigation by a committee headed by retired Justice R.V. Raveendran, with a technical committee of three cybersecurity experts |
| Technical findings | The technical panel found "some malware" on 5 of 29 examined phones but could not conclusively confirm it was Pegasus specifically |
| Ethical issues | Targeted surveillance of journalists and political opponents undermines press freedom, democratic dissent, and the rule of law; even lawful surveillance requires judicial oversight and proportionality |
Facial Recognition Technology (FRT)
| Ethical Concern | Detail |
|---|---|
| Mass surveillance | FRT enables identification of individuals in public spaces without their knowledge or consent — a qualitative shift from targeted surveillance |
| Accuracy disparities | Studies have shown FRT systems have higher error rates for women and people with darker skin tones — raising concerns about discrimination |
| Chilling effect | Knowledge that one is being watched inhibits free expression, assembly, and dissent — the Benthamite "panopticon" effect |
| India's use | India has deployed FRT systems for law enforcement, railway station surveillance, and identification of missing persons — without a comprehensive legal framework governing its use |
For Mains: Apply the Kantian principle of human dignity — mass surveillance treats citizens as objects of suspicion rather than autonomous agents. Apply the social contract theory — citizens consent to limited state power in exchange for protection, not unlimited monitoring. The proportionality principle (from the Puttaswamy judgment) provides the framework: legitimate aim + necessity + proportionality + safeguards.
Data Ethics and Privacy
The Digital Personal Data Protection Act (DPDP), 2023
| Feature | Detail |
|---|---|
| Enacted | 11 August 2023; Rules notified on 13 November 2025 |
| Key concepts | Data Principal (individual whose data is processed), Data Fiduciary (entity processing data), Consent Manager |
| Consent requirement | Data processing requires "free, specific, informed, unconditional and unambiguous" consent through clear affirmative action |
| Data Fiduciary obligations | Maintain accuracy, ensure security, delete data once purpose is fulfilled |
| Children's data | Verifiable parental consent required; ban on behavioural monitoring and targeted advertising directed at children |
| Data Protection Board | Independent body to oversee compliance, handle breaches, conduct investigations — penalties up to Rs 250 crore |
| Right to be forgotten | Data Principals have the right to erasure of personal data |
| Government exemptions | Broad exemptions for government processing "in the interest of sovereignty, integrity, security of India, public order" — this has been criticised as undermining the law's protections |
Ethical Dimensions of Data Collection
| Dimension | Ethical Question |
|---|---|
| Consent | Is "informed consent" meaningful when privacy policies are hundreds of pages long and users have no real choice? |
| Data ownership | Who owns personal data — the individual who generates it or the company that collects it? |
| Data as labour | Users create value through their data (browsing, clicks, purchases) but receive no compensation — is this exploitative? |
| Digital divide | Data ethics frameworks designed for connected, literate populations may not protect the most vulnerable |
| Surveillance capitalism | Business models based on extracting and monetising personal data transform human experience into raw material for profit — Shoshana Zuboff's concept |
For Mains: The ethical tension in data protection is between innovation (which requires data) and privacy (which restricts data access). Apply John Stuart Mill's harm principle — data collection that causes no direct harm may still erode autonomy by enabling manipulation (targeted advertising, political micro-targeting). The DPDP Act's government exemptions raise the question: can a government that exempts itself from data protection genuinely protect citizens' data from private actors?
Social Media Ethics
Ethical Challenges
| Challenge | Description |
|---|---|
| Fake news and misinformation | Social media platforms algorithmically amplify sensational and emotionally charged content — including false information — because it drives engagement |
| Echo chambers and filter bubbles | Algorithms show users content that confirms their existing beliefs, reducing exposure to diverse perspectives and deepening polarisation |
| Attention economy | Social media platforms compete for human attention; design features (infinite scroll, notifications, variable rewards) are deliberately addictive — raising questions about manipulation |
| Hate speech and incitement | Social media has been linked to communal violence (Sri Lanka, Myanmar, India) — platforms struggle to moderate content in local languages |
| Mental health impact | Studies link excessive social media use to anxiety, depression, body image issues, and cyberbullying — particularly among adolescents |
| Democratic manipulation | Micro-targeted political advertising, bot networks, and coordinated inauthentic behaviour can distort democratic processes |
Ethical Frameworks for Social Media
| Framework | Application |
|---|---|
| Duty of care | Platforms have a duty of care to users, particularly minors — analogous to a publisher's responsibility for content |
| Kantian universalisability | Would we want a world where all information platforms maximise engagement regardless of truth? The universalisation test suggests not |
| Virtue ethics | Platforms should cultivate virtues of honesty, moderation, and civic responsibility in their design — not exploit human psychological vulnerabilities |
| Common good | Information ecosystems are public goods — their degradation harms everyone, including those not on the platform |
Climate Ethics
Core Ethical Principles
| Principle | Description |
|---|---|
| Common But Differentiated Responsibilities (CBDR) | Enshrined in the UNFCCC — all nations share the responsibility of addressing climate change, but historically industrialised nations bear a greater responsibility because they contributed more to cumulative emissions |
| Intergenerational equity | The current generation has an ethical obligation to future generations to leave a liveable planet — expressed in the concept of "sustainable development" (Brundtland Report, 1987) |
| Climate justice | Those least responsible for climate change (developing nations, indigenous peoples, the global poor) are most vulnerable to its effects — addressing this disparity is a matter of justice |
| Polluter pays principle | Those who cause environmental damage should bear the costs of remediation — applied to both nations and corporations |
| Precautionary principle | Where there is scientific uncertainty about environmental harm, the absence of conclusive evidence should not be used as a reason to postpone preventive action |
Key Ethical Debates in Climate
| Debate | Competing Positions |
|---|---|
| Historical emissions vs current emissions | Developed nations argue all major emitters must act now; developing nations argue historical responsibility must be acknowledged — India's per capita emissions are approximately one-third of the global average and one-eighth of the USA's |
| Carbon budget allocation | How should the remaining global carbon budget be distributed? Per capita (favours developing nations) or based on GDP/capability (favours developed nations)? |
| Loss and damage | Should developed nations compensate developing nations for climate impacts already occurring? The Fund for Responding to Loss and Damage (FRLD) — agreed at COP27 (2022), operationalised at COP28 (2023), fully activated at COP29 (Baku, Nov 2024) — addresses this; Philippines is host country; World Bank is interim trustee; total pledges ~USD 741 million (far below the USD 395 billion annual need, as of 2025); USA withdrew its USD 17.5 million pledge under the Trump administration (early 2025) |
| Climate migration | Climate-induced displacement raises questions about the rights of climate refugees — currently no legal framework protects them |
| Technology transfer | Should clean energy technologies be shared freely with developing nations, or do patent holders have a right to profit? |
For Mains: India's position on climate ethics is rooted in CBDR and per capita equity. In ethics answers, frame this as a matter of distributive justice — the benefits of industrialisation were enjoyed by the developed world, but the costs (climate change) are borne disproportionately by the developing world. This is an application of Rawls' difference principle — inequalities are justifiable only if they benefit the least advantaged.
Environmental Ethics
Schools of Environmental Thought
| School | Position | Key Thinkers |
|---|---|---|
| Anthropocentrism | Nature has value only insofar as it serves human needs and interests — the dominant paradigm of industrialisation | Most Western ethical traditions |
| Biocentrism | All living beings have inherent value — not just humans; respect for nature extends to all life forms | Albert Schweitzer ("reverence for life"), Paul Taylor |
| Ecocentrism | Ecosystems as wholes have intrinsic value — species, habitats, and ecological processes matter beyond individual organisms | Aldo Leopold ("land ethic") |
| Deep ecology | Nature has intrinsic value independent of its utility to humans; the flourishing of non-human life requires a significant decrease in human population and economic activity | Arne Naess (Norwegian philosopher, coined the term in 1973) |
| Ecofeminism | Environmental degradation and the oppression of women have common roots in patriarchal domination — both involve the exploitation of "the other" | Vandana Shiva, Val Plumwood |
| Environmental pragmatism | Rather than debating intrinsic vs instrumental value, focus on practical solutions to environmental problems through democratic deliberation | Bryan Norton |
Animal Rights and Speciesism
| Concept | Description |
|---|---|
| Speciesism | The assignment of different moral worth based on species membership — coined by Peter Singer; analogous to racism or sexism |
| Utilitarianism and animals | Peter Singer's argument — if an animal can suffer, its suffering must count equally in our moral calculations; factory farming causes immense suffering for marginal human benefit |
| Rights-based approach | Tom Regan argues that animals are "subjects-of-a-life" with inherent value and rights that cannot be violated regardless of consequences |
| Indian perspective | Indian philosophical traditions (Jainism's ahimsa, Buddhism's compassion for all sentient beings, Hinduism's concept of the divine in all creatures) provide deep roots for animal ethics |
For Mains: Environmental ethics in UPSC typically involves applying ethical concepts to policy dilemmas — development vs conservation, tribal rights vs wildlife protection, economic growth vs pollution control. Deep ecology provides one extreme (nature above human needs); anthropocentrism provides the other (nature as resource). The UPSC-appropriate position is typically stewardship — humans as responsible custodians of nature, balancing development with conservation.
Bioethics
Key Bioethical Issues
| Issue | Ethical Dimensions |
|---|---|
| Genetic editing (CRISPR) | CRISPR-Cas9 technology allows precise editing of DNA. The case of He Jiankui (China, 2018), who claimed to create the first gene-edited babies (twins resistant to HIV), raised global alarm about crossing ethical red lines. The scientific community condemned the experiment; He was sentenced to 3 years in prison. Key ethical question: Should we edit the human germline (heritable changes) or only somatic cells (non-heritable)? |
| Euthanasia and right to die | Active euthanasia (administering lethal substance) vs passive euthanasia (withdrawing life support). In Common Cause v Union of India (2018), the Supreme Court of India legalised passive euthanasia and recognised the right to advance medical directives ("living will"). Active euthanasia remains illegal in India |
| Organ transplantation | Ethical issues: organ trafficking, presumed consent vs opt-in systems, allocation criteria (urgency vs likelihood of success), commodification of the body. India's Transplantation of Human Organs and Tissues Act (1994, amended 2011) regulates organ donation but illegal organ trade persists |
| Surrogacy | Commercial surrogacy — banned in India by the Surrogacy (Regulation) Act, 2021; only altruistic surrogacy by close relatives is permitted. Ethical concerns: commodification of women's bodies, exploitation of poor women, the "baby factory" problem |
| Clinical trials | Ethical requirements: informed consent, institutional ethics committee approval, benefit-sharing, protection of vulnerable populations. India has faced criticism for clinical trials conducted without adequate informed consent, particularly among illiterate and tribal populations |
| Stem cell research | Embryonic stem cell research raises the question of the moral status of the embryo. India permits regulated embryonic stem cell research under ICMR guidelines (2017) |
The Four Principles of Biomedical Ethics (Beauchamp and Childress)
| Principle | Description |
|---|---|
| Autonomy | Respect for the patient's right to make informed decisions about their own body and treatment |
| Beneficence | Obligation to act in the patient's best interest — to do good |
| Non-maleficence | Obligation to not cause harm — "first, do no harm" (primum non nocere) |
| Justice | Fair distribution of healthcare resources; equitable access to treatment |
For Mains: Bioethics questions in UPSC often involve the tension between autonomy and paternalism (should the state restrict individual choice for the person's own good?) or between beneficence and justice (how should scarce medical resources be allocated?). Use the four-principles framework as a structured approach to ethical analysis.
Nuclear Ethics
Ethical Dimensions of Nuclear Energy and Weapons
| Dimension | Ethical Question |
|---|---|
| Nuclear weapons | Can the possession of weapons capable of destroying civilisation be morally justified? Deterrence theory argues yes (preventing war through fear); abolitionists argue the risk of catastrophe makes possession inherently immoral |
| Nuclear energy and intergenerational justice | Nuclear waste remains radioactive for thousands of years — imposing risks on generations yet unborn who had no say in the decision. Is this just? |
| Nuclear energy and climate | Nuclear power generates minimal carbon emissions — should environmental concerns override nuclear safety fears? |
| Just war theory and nuclear weapons | Traditional just war principles (proportionality, distinction between combatants and civilians) are impossible to satisfy with nuclear weapons — their effects are indiscriminate and disproportionate |
| India's nuclear doctrine | India maintains a "No First Use" policy and "credible minimum deterrence" — ethically positioned as defensive rather than aggressive |
Space Ethics
Emerging Ethical Questions
| Question | Context |
|---|---|
| Space resource exploitation | The Artemis Accords (2020) and US Commercial Space Launch Competitiveness Act (2015) allow private companies to mine asteroids and the Moon — but the Outer Space Treaty (1967) prohibits national appropriation. Is corporate exploitation of space resources consistent with the principle of "common heritage of mankind"? |
| Space debris | Over 36,000 tracked debris objects in Earth orbit; Kessler Syndrome (cascading collisions) could make orbits unusable. Who is responsible for cleaning up space debris? The launching state? The company? |
| Planetary protection | Should we protect other planets from contamination by Earth organisms? Is there an ethical obligation to preserve extraterrestrial environments? |
| Space colonisation | If humans colonise Mars, what governance structures should apply? Can the errors of terrestrial colonialism be avoided? |
| Space militarisation | India's ASAT test (Mission Shakti, 2019) demonstrated the ability to destroy satellites — raising concerns about the weaponisation of space |
Cross-paper relevance
- GS4 — Ethics (primary) — AI ethics, algorithmic bias, climate ethics, intergenerational equity, dual-use technology dilemmas, space ethics
- GS3 — Science-Technology dimension: IndiaAI Mission 2024, National Quantum Mission (₹6,000 crore, 2023-31), Mission Shakti ASAT test, CRISPR gene editing ethics
- GS3 — Environment — Climate ethics: CBDR principle, intergenerational equity, net-zero commitments, carbon justice for developing nations
- Essay — Recurring theme: "Science without conscience is the soul's perdition" (2022); "Can technology alone solve humanity's challenges?" (2020)
Recent Developments (2024–2026)
IndiaAI Mission — Technology Ethics at National Scale (2024–25)
India's IndiaAI Mission (March 2024, ₹10,371.92 crore) operationalised India's first comprehensive AI ethics governance framework. The IndiaAI Governance Guidelines (November 2025) embedded ethical principles — accountability, fairness, transparency, and safety — as regulatory requirements for AI systems deployed by government and regulated entities. The NITI Aayog's November 2025 Quantum Roadmap and the National Quantum Mission (₹6,000 crore, 2023–31) also raised new technology ethics questions about dual-use quantum capabilities and national security.
UPSC angle: India's AI and quantum governance frameworks are the newest technology ethics policy developments — essential for GS4 questions on ethics in technology and AI governance.
Operation Sindoor — Just War Ethics and Proportionality (May 2025)
Operation Sindoor (7–10 May 2025) — India's precision military response to the Pahalgam terrorist attack (22 April 2025, 26 civilians killed) — triggered significant academic and policy debate on just war doctrine and military ethics. India struck 9 terrorist infrastructure sites in Pakistan and Pakistan-administered Kashmir, deliberately avoiding military facilities to keep the action restrained and non-escalatory.
Just war theory analysis of Operation Sindoor:
| Just War Criterion | Application |
|---|---|
| Just cause | Response to a specific terrorist attack killing civilians — widely accepted as meeting jus ad bellum threshold |
| Right authority | Sovereign state (India) acting through its constitutional command structure |
| Right intention | Declared aim: eliminating terrorist infrastructure, not territorial acquisition or regime change |
| Last resort | Debated — India stated diplomatic channels had been exhausted; critics questioned whether all non-military options were tried |
| Proportionality (ad bellum) | Precision strikes targeting only terrorist camps; deliberate avoidance of Pakistani military facilities |
| Discrimination (in bello) | Indian officials stated targeting was "precise, avoiding collateral" — strikes on identified non-state terrorist sites, not civilian infrastructure |
| Probability of success | 88-hour operation achieved stated objectives without escalating into a full-scale war |
Ethical tensions raised: The operation raised the ethics of targeted killing of non-state actors; cross-border force against a nuclear-armed state; and whether nuclear deterrence threat changes the ethical calculus of proportionality. The deontological challenge: does a state's categorical duty not to kill extend to terrorist actors operating from another state's territory? The consequentialist view: a precisely targeted, brief operation that averts a larger conflict may minimise total harm.
UPSC angle (Mains 2026/Essay): Operation Sindoor is the defining national security ethics event of 2025. GS4 case study format: apply just war doctrine (jus ad bellum + jus in bello), Kant's categorical imperative on use of force, and utilitarian calculus of minimising aggregate harm. Essay angle: "Proportionality in conflict — India's Operation Sindoor and the ethics of measured force" (potential 2026 essay theme).
Climate Ethics — India's Renewable Energy Commitments (2024–25)
India added a record 24.5 GW of solar capacity and 3.4 GW of wind capacity in 2024, becoming the world's third-largest solar producer. Total non-fossil fuel capacity reached 217.62 GW by January 2025. The Union Budget FY26 launched a Nuclear Energy Mission (₹20,000 crore for SMR R&D) targeting five indigenously developed Small Modular Reactors by 2033. These developments represent India's intergenerational climate justice commitments — the ethical obligation to future generations to decarbonise without sacrificing present development needs.
UPSC angle: India's renewable energy data (2024–25) and Nuclear Energy Mission are the most current anchors for GS4 arguments on climate ethics, intergenerational equity, and the ethics of technology transitions.
Key Terms for Quick Revision
| Term | Meaning |
|---|---|
| Algorithmic bias | Systematic discrimination by AI systems due to biased training data, flawed design, or biased assumptions |
| Surveillance capitalism | Business model based on extracting and monetising personal data — coined by Shoshana Zuboff |
| CBDR | Common But Differentiated Responsibilities — climate justice principle enshrined in the UNFCCC |
| Intergenerational equity | The current generation's ethical obligation to future generations |
| Deep ecology | Environmental philosophy that assigns intrinsic value to nature independent of human utility — coined by Arne Naess (1973) |
| Speciesism | Moral discrimination based on species membership — coined by Peter Singer |
| Precautionary principle | Where there is risk of serious harm, the absence of scientific certainty should not delay preventive action |
| DPDP Act | Digital Personal Data Protection Act, 2023 — India's first comprehensive data protection law |
| CRISPR | Clustered Regularly Interspaced Short Palindromic Repeats — gene-editing technology |
| Passive euthanasia | Withdrawing life support — legalised in India by the Supreme Court in Common Cause v Union of India (2018) |
| Four principles of bioethics | Autonomy, beneficence, non-maleficence, justice (Beauchamp and Childress framework) |
| Panopticon | Jeremy Bentham's concept of a prison where inmates are always potentially observed — metaphor for surveillance society |
Exam Strategy
For Mains Answer Writing: Ethics of technology and environment questions require three elements: (1) identify the ethical dilemma (competing values), (2) apply relevant ethical frameworks (utilitarianism, Kantian ethics, virtue ethics, Rawlsian justice), and (3) propose a balanced resolution that acknowledges trade-offs. Never take an absolutist position — UPSC values nuanced, balanced ethical reasoning. Always include an Indian context or example (Aadhaar, Pegasus, DPDP Act, India's climate position) to demonstrate awareness and relevance.
For Case Studies: Technology and environment case studies may present scenarios involving a government official deciding on surveillance deployment, a scientist facing pressure on genetic research, or a policymaker balancing industrial development with environmental protection. Use the four-step approach: (1) identify stakeholders, (2) identify ethical issues, (3) identify options with consequences, (4) recommend the most ethically defensible course of action.
Key Terms
Environmental Ethics
- Definition: Environmental ethics is the branch of applied philosophy that examines the moral relationship of human beings to the natural environment and the value and moral status of its non-human contents, such as animals, plants, ecosystems and the Earth as a whole. It asks whether nature possesses intrinsic value or only instrumental value as a means to human ends.
- Context: Environmental ethics emerged as a distinct sub-discipline of philosophy in the early 1970s, when thinkers began challenging the traditional anthropocentric assumption that only humans matter morally. Its rise coincided with the global environmental movement and landmark events such as the 1972 UN Conference on the Human Environment at Stockholm. The field organises itself broadly around three value-positions — anthropocentrism (human-centred), biocentrism (life-centred) and ecocentrism (ecosystem-centred) — and includes influential currents like Aldo Leopold's land ethic and Arne Naess's deep ecology.
- UPSC Relevance: Environmental ethics is a core GS4 (Ethics) topic, directly listed in the syllabus under applied ethics and the human-environment relationship; it also overlaps with GS3 (environment, sustainable development) and Essay. UPSC tends to test it conceptually — distinguishing anthropocentric from ecocentric reasoning, applying ideas like intergenerational equity and the precautionary principle to case studies, and linking philosophy to constitutional duties (Article 48A and Article 51A(g)). It is a foundational concept that underpins questions on sustainable development, climate justice, conservation dilemmas and corporate environmental responsibility, so aspirants should be able to deploy named thinkers and frameworks in answers rather than recall isolated facts.
Precautionary Principle (Ethics)
- Definition: The Precautionary Principle is an ethical and policy guideline holding that where an action or technology raises threats of serious or irreversible harm to human health or the environment, a lack of full scientific certainty must not be used as a reason to postpone preventive or protective measures. In ethics, it reframes decision-making under uncertainty as a moral duty of foresight and responsible caution rather than waiting for conclusive proof of harm.
- Context: The principle originated in German environmental law of the early 1970s as the "Vorsorgeprinzip" (foresight principle) and gained global recognition through Principle 15 of the 1992 Rio Declaration on Environment and Development. UNESCO's World Commission on the Ethics of Scientific Knowledge and Technology (COMEST) elaborated its ethical foundations in its 2005 report, framing it as a tool for responsible risk governance under uncertainty. In India, the Supreme Court formally absorbed it into constitutional jurisprudence in Vellore Citizens' Welfare Forum v. Union of India (28 August 1996), and it is statutorily mandated under Section 20 of the National Green Tribunal Act, 2010.
- UPSC Relevance: This is a foundational GS4 (Ethics) concept that underpins questions on ethics of science and technology, environmental ethics, and ethical decision-making under uncertainty. In Mains, it is tested through case studies where administrators must weigh development against irreversible ecological or health risk (for example clearing a project despite incomplete scientific data), and it links directly to GS3 environment topics (sustainable development, GM crops, climate policy) and GS2 (governance, judicial activism via Article 21). Aspirants should be able to distinguish it from the related Polluter Pays Principle and discuss its tension with proportionality and innovation. No verified standalone PYQ exists for this exact term, so candidates should treat it as an analytical lens rather than a factual recall item.
