Sample Essays for LNAT - 7

LNAT Sample Essay Practice Document
Technology & Modern Life: Model Essays and Standards

Question 1

'The widespread use of artificial intelligence in decision-making processes that affect people's lives-such as in criminal sentencing, university admissions, and credit scoring-represents an unacceptable erosion of human accountability and should be legally prohibited.'

To what extent do you agree with this statement?

Model Answer

The integration of artificial intelligence into critical decision-making processes has become one of the most contentious legal and ethical issues of the twenty-first century. Whilst the proposition that AI deployment in sensitive domains should be categorically prohibited reflects legitimate concerns about accountability and transparency, such a blanket prohibition would be both impractical and counterproductive. A more nuanced approach-one that establishes robust regulatory frameworks whilst permitting AI's use where it demonstrably improves fairness and accuracy-represents the superior legal and ethical position. The argument for measured regulation, rather than outright prohibition, rests on evidence that AI, when properly governed, can reduce rather than amplify the biases inherent in purely human decision-making.

The first compelling reason to resist complete prohibition lies in the demonstrable capacity of well-designed AI systems to mitigate, rather than exacerbate, human bias in decision-making. Human judges, admissions officers, and loan assessors are subject to well-documented cognitive biases, including racial prejudice, class assumptions, and unconscious gender discrimination. Research conducted by ProPublica in 2016 exposed significant racial disparities in the COMPAS recidivism algorithm used in American courts; however, subsequent studies by Dressel and Farid demonstrated that COMPAS was no less accurate than human judges, and in some respects more consistent. The issue, therefore, is not that algorithmic decision-making is inherently less fair than human judgement, but that both require rigorous scrutiny and correction. In university admissions, contextualised admissions algorithms have been employed by institutions such as University College London to identify talented students from disadvantaged backgrounds who might otherwise be overlooked by traditional methods dominated by subjective impression. Prohibiting such tools would eliminate a mechanism that actively promotes social mobility and diversity. The critical distinction is not between human and machine decision-making, but between accountable and unaccountable systems, whether human or algorithmic.

Furthermore, the concept of accountability-central to the proposition's argument-is not necessarily incompatible with AI deployment, provided that appropriate legal structures are established. The General Data Protection Regulation, which came into force across the European Union in 2018, enshrines a 'right to explanation' for individuals subjected to automated decision-making, compelling organisations to disclose the logic and significance of algorithmic processes. Similarly, the proposed EU Artificial Intelligence Act categorises AI applications by risk level and imposes stringent transparency, testing, and human oversight requirements for high-risk applications, including those affecting legal rights and access to essential services. These regulatory instruments demonstrate that it is entirely feasible to maintain human accountability whilst benefiting from AI's analytical capabilities. In the context of criminal sentencing, for instance, AI could function not as a replacement for judicial discretion but as a decision-support tool, highlighting relevant precedents, statistical patterns, and potential inconsistencies for a human judge to consider. This hybrid model preserves ultimate human responsibility whilst reducing arbitrary variation in sentencing outcomes, a persistent problem documented in studies showing that judges are significantly harsher in their sentencing immediately before lunch breaks-a form of irrationality no algorithm would replicate.

Admittedly, there are substantial grounds for concern regarding the opacity and potential discriminatory effects of certain AI systems, particularly those employing complex neural networks whose decision-making processes remain inscrutable even to their designers. The use of facial recognition technology by the Metropolitan Police Service in London has been challenged in court precisely because of concerns about disproportionate misidentification rates for individuals from ethnic minority backgrounds, as documented by the Equality and Human Rights Commission. In the realm of credit scoring, algorithms trained on historical data risk perpetuating past discrimination, denying financial services to individuals from communities that have been systematically excluded from credit markets. These are serious failures that demand legal remedy. However, the appropriate response is not prohibition but rather the imposition of stringent standards for algorithmic transparency, regular bias auditing, and meaningful avenues for challenge and redress. The Algorithmic Accountability Act, proposed in the United States Congress, would mandate impact assessments for automated decision systems, requiring organisations to evaluate their tools for accuracy, fairness, bias, and discrimination before deployment. Such regulatory frameworks acknowledge the risks whilst preserving the considerable benefits AI offers.

In conclusion, the categorical legal prohibition of AI in consequential decision-making processes would constitute an overreaction that sacrifices significant potential benefits in the pursuit of an illusory standard of pure human judgement. Human decision-making is neither transparent nor free from bias; indeed, it is often demonstrably inferior to algorithmic processes in consistency and empirical accuracy. The solution lies not in rejecting technological advancement but in constructing rigorous legal and regulatory architectures that ensure transparency, mandate regular bias audits, preserve meaningful human oversight, and provide effective remedies for those harmed by algorithmic errors. Such an approach respects both the legitimate demand for accountability and the empirical reality that, properly governed, AI can serve as a tool for greater justice rather than its erosion.

Overall Standard - What This Model Essay Demonstrates

This essay meets a high standard for several specific, verifiable reasons. First, it takes a genuinely nuanced position-neither wholly accepting nor rejecting the proposition, but arguing for regulated use rather than prohibition. This demonstrates analytical maturity beyond simple agreement or disagreement. Second, the essay employs concrete, real-world examples throughout: the ProPublica COMPAS study, the GDPR's right to explanation, UCL's contextualised admissions, the EU AI Act, Metropolitan Police facial recognition challenges, and the proposed US Algorithmic Accountability Act. These are not vague references but specific, verifiable instances that ground abstract arguments in legal and empirical reality. Third, the counterargument paragraph (the fourth body paragraph) genuinely engages with opposing concerns about opacity and discrimination, acknowledging their seriousness before explaining why regulation is preferable to prohibition. Fourth, the essay maintains formal academic register throughout, with complex sentence structures, precise vocabulary, and no lapses into colloquialism. Finally, the conclusion does not merely summarise but synthesises the argument and offers a final evaluative claim about the superiority of regulatory frameworks over prohibition. A weaker essay would have presented examples less specifically, failed to acknowledge legitimate concerns, or adopted a simplistic for-or-against stance without engaging the complexity the question demands.

Question 2

'Social media platforms should be legally required to verify the real-world identity of all users and prohibit anonymous accounts. The harms caused by online anonymity-including harassment, disinformation, and criminal activity-far outweigh any legitimate reasons for concealing one's identity.'

Do you agree?

Model Answer

The question of whether anonymity should be legally abolished on social media platforms represents a fundamental tension between competing values: the desire for a safer, more accountable digital environment and the protection of privacy, free expression, and vulnerable individuals who depend upon anonymity for their security. Whilst the proposition correctly identifies genuine harms associated with anonymous online activity, the mandatory removal of anonymity would itself create profound dangers, disproportionately affecting marginalised groups, political dissidents, and individuals seeking support for stigmatised conditions. A legally enforced identity verification requirement would constitute an unacceptable infringement upon fundamental rights and would likely prove both ineffective in curbing the harms cited and actively harmful to legitimate democratic and personal interests.

The first substantial objection to mandatory identity verification rests on its potentially catastrophic impact on political dissidents, whistleblowers, and individuals living under authoritarian or repressive conditions. Anonymity has historically been essential to political discourse; the Federalist Papers, foundational documents in American constitutional thought, were published under pseudonyms. In contemporary contexts, anonymity remains vital for those challenging state power or exposing institutional wrongdoing. The protection afforded to anonymous speech in cases such as McIntyre v. Ohio Elections Commission (1995) reflects judicial recognition that compelled identification chills free expression. Social media platforms have been instrumental in organising opposition movements, from the Arab Spring to pro-democracy protests in Hong Kong and Iran. Activists in such contexts face imprisonment, torture, or death if their identities are revealed. A legal mandate requiring platforms to verify and store real identities creates an infrastructure of surveillance that authoritarian regimes can exploit, either through legal compulsion or data breaches. Even in liberal democracies, whistleblowers such as those who contributed to reporting on the Panama Papers or exposed failings in healthcare systems rely upon anonymity to avoid retaliation. Eliminating this protection would significantly diminish the capacity for accountability journalism and citizen oversight of powerful institutions.

Moreover, anonymity serves essential functions for vulnerable populations who seek information, community, or support regarding stigmatised issues without facing discrimination or social consequences. Individuals questioning their sexual orientation or gender identity, those experiencing domestic abuse, people with stigmatised health conditions such as HIV or mental illness, and victims of sexual violence frequently turn to online communities for guidance and solidarity. Research published in the Journal of Medical Internet Research has documented that anonymity enables more honest disclosure in health-seeking behaviour, particularly among adolescents and marginalised groups. Requiring identity verification would deter such individuals from accessing crucial support networks and information resources. Furthermore, the collection and storage of identity verification data creates significant privacy risks; data breaches at major platforms-including Facebook's Cambridge Analytica scandal and numerous subsequent security failures-demonstrate that even large technology companies cannot be trusted to safeguard sensitive personal information. A legal requirement to link real identities to online activity creates a comprehensive surveillance database vulnerable to both state overreach and criminal exploitation.

Proponents of mandatory identity verification argue that anonymity facilitates harassment, disinformation campaigns, and criminal activity that inflict serious harm on individuals and undermine democratic processes. This concern is not without foundation. The proliferation of coordinated disinformation during electoral periods, the use of bot networks to manipulate public opinion, and the appalling harassment experienced by women, ethnic minorities, and public figures on platforms such as Twitter are well-documented phenomena. The tragic case of Molly Russell, a fourteen-year-old who took her own life after viewing harmful content on Instagram, prompted calls for greater platform accountability. However, identity verification is unlikely to substantially mitigate these harms and may even exacerbate certain risks. Much online harassment and disinformation originates not from anonymous accounts but from individuals using their real names or from coordinated state-sponsored operations that would easily circumvent identity verification through false documentation or stolen identities. Research by the Oxford Internet Institute found that disinformation campaigns frequently employ networks of accounts that appear authentic, complete with photographs and biographical details. The problem is not anonymity per se but inadequate content moderation, insufficient investment in detecting coordinated inauthentic behaviour, and weak enforcement of existing terms of service.

The more effective and proportionate approach lies in strengthening platform accountability for content moderation and harmful material without eliminating anonymity. Legislative frameworks such as Germany's Network Enforcement Act and the United Kingdom's Online Safety Act impose obligations on platforms to remove illegal content swiftly and provide transparent complaint mechanisms, without requiring universal identity verification. Platforms can and should invest more substantially in artificial intelligence and human moderation to detect and remove content that violates laws or platform policies, regardless of whether the account is anonymous. Targeted measures-such as requiring verification only for accounts that wish to obtain verified status or reach large audiences-can balance legitimacy concerns with privacy protection. Furthermore, existing legal remedies, including defamation law and criminal sanctions for harassment and threats, remain available; courts can compel platforms to disclose user identity in specific cases where individuals have suffered actionable harm, preserving anonymity as a default whilst enabling accountability where legally justified.

In conclusion, whilst the harms associated with certain anonymous online activity are real and merit serious regulatory attention, a blanket legal requirement for identity verification represents a disproportionate response that would endanger vulnerable populations, chill free expression, and create severe privacy and security risks. Anonymity has long been recognised as essential to political dissent, whistleblowing, and the protection of marginalised individuals; its elimination would constitute a profound diminution of fundamental rights. The appropriate policy response is not to abolish anonymity but to impose meaningful obligations on platforms to moderate content effectively, detect coordinated inauthentic behaviour, and respond swiftly to illegal activity, whilst preserving legal mechanisms to identify individuals in cases of genuine harm. Such an approach addresses the legitimate concerns raised by the proposition without sacrificing the essential protections that anonymity affords.

Overall Standard - What This Model Essay Demonstrates

This essay demonstrates a high standard through several distinct features. It adopts a clear, defensible position from the outset-rejecting the proposition whilst acknowledging its underlying concerns-and sustains this position with rigorous argumentation. The essay employs specific, verifiable examples and legal references: the Federalist Papers, McIntyre v. Ohio Elections Commission, the Arab Spring and Hong Kong protests, the Panama Papers, the Cambridge Analytica scandal, the Molly Russell case, the Oxford Internet Institute's disinformation research, Germany's Network Enforcement Act, and the UK Online Safety Act. These references demonstrate knowledge beyond superficial familiarity and anchor the argument in empirical and legal reality. The essay engages substantively with the counterargument in the third body paragraph, acknowledging genuine harms from anonymity-harassment, disinformation, harmful content-before explaining why identity verification is neither an effective nor a proportionate solution. The argument is logically structured, moving from political and democratic concerns, to vulnerable populations and privacy, to counterarguments, and finally to alternative regulatory approaches. The conclusion synthesises rather than repeats, offering a final evaluative judgement about proportionality and fundamental rights. The essay maintains formal academic tone and complex syntax throughout, with no lapses into informality. A weaker essay would have relied on generalised claims without specific examples, failed to acknowledge opposing views seriously, or simply asserted a position without evidential support.