AILET 2026 Question Paper PDF (OUT) with Solutions: Download Here

AILET UG 2026 Question Paper With Solution- Free PDF

Along with the paper, we will also release the AILET 2026 Answer Key prepared by our experts to help you calculate your expected score before NLU Delhi uploads the provisional key. The AILET UG 2026 Question paper with Answer Key and Detailed solutions is given below-

How To Download The AILET UG 2026 Question Paper- Free PDF

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AILET UG 2026 Overall Exam Analysis

This AILET 2026 Exam Analysis helps aspirants understand how the exam was structured, which sections were most challenging, and what type of questions dominated the paper. The overall analysis of the AILET 2026 exam is provided below to help students prepare for the AILET Exam:

AILET UG 2026 Section-wise Exam Analysis

To learn more about the exam's general difficulty level, the topics included in the AILET exam, and more, students are advised to go through the table below.

AILET UG 2026 Exam Pattern

The AILET Exam Pattern 2026 will have 150 multiple-choice questions (MCQs) on the AILET exam, each worth one mark. A negative mark of 0.25 is also applied for each incorrect response on the exam.

AILET UG 2026 Section-wise Questions with Detailed Solutions

Passage

1. Read the given passage and answer the following questions by choosing the most appropriate response.

The integration of Artificial Intelligence |A| into law enforcement practices has sparked a global debate on ethics, privacy, and accountability. From facial recognition systems in public spaces to predictive policing algorithms, AI is transforming how crimes are detected and prevented. However, the benefits of efficiency and data-driven decision-making are accompanied by concerns about fairmess, bias, and the potential erosion of civil liberties. One of the most controversial applications is predictive policing, which uses historical crime data to forecast where crimes are likely to occur or who might commit them. Proponents argue that this allows police to allocate resources more efficiently and reduce crime rates. However, critics warn that such systems may reinforce existing societal binses. If past data reflect biased policing practices, such as over-policing in marginalized communities, then the algorithm may perpetuate these injustices by disproportionately targeting the same areas or groups. Facial Recognition Technology (FRT) is another Al-driven tool that has gained traction. While it has proven useful in identifying suspects, it raises serious concerns regarding surveillance and individual privacy. Studies have also shown that FRT is less accurate in identifying people of colour and women, increasing the risk of false accusations and wrongful detentions. The lack of transparency in how these systems operate further complicates the ethical landscape. Many AI tools used in law enforcement are developed by private companies that treat their algorithms as proprietary, meaning that even law enforcement officers may not fully understand how decisions are made by these AI tools. This is often referred to as the 'Black Box' problem. This opaqueness undermines accountability, making it diffeult to challenge wrongful predictions or decisions in a court of law. As Al continues to evolve, lawmakers and civil rights advocates are calling for stronger regulations to ensure that these technologies are used responsibly. Proposals include mandatory auditing of algorithms, public disclosure of data sources, and legal safeguards to protect against discrimination. Without such measures, the unchecked use of AI could lead to a justice system that prioritizes efficiency over equity, ultimately compromising democratic values and rule of law. While At holds the promise of revolutionizing law enforcement, its application must be guided by ethical frameworks that prioritize human rights, transparency. and fairness. Otherwise, technology intended to protect society may end up harming the very individuals it seeks to serve.

1. What is the central concern raised in the passage regarding AI in law enforcement?

a) Replacing human officers

b) High operational costs

c) Reinforcing bias and reducing fairness

d) inability to anulyze real-time data

Correct Answer: (c) Reinforcing bias and reducing fairness

Explanation:

The passage repeatedly highlights concerns about:

• Fairness

• Bias

• Erosion of civil liberties

• Reinforcement of existing societal and historical biases

Predictive policing and facial recognition are criticized mainly because they may perpetuate injustice, especially against marginalized communities. Hence, bias and fairness are the core concerns—not cost, officers, or real-time data.

2. Which of the following wrould best justify the use of predictive policing, denpite the ethical concerns discussed in the passage?

a) It will allow law enforcement to increase arrest quotas.

b) It helps deploy police more efficiently in high-risk areas,

c) It can eliminate the need for community engagement.

d) It will replace the need for police training programs.

Correct Answer: (b) It helps deploy police more efficiently in high-risk areas.

Explanation:

The passage clearly states:

“Proponents argue that this allows police to allocate resources more efficiently and reduce crime rates.”

This is the only positive justification acknowledged, even while ethical concerns remain.

Other options either exaggerate or contradict the passage.

3. Based on the passage, how does facial recognition technology potentially lend to injustice?

a) By exhibiting higher exour rates for apectfle demogriphic groups

b) By decreasing reliance on human judgment in policing

c) By increasing costs and limiting deployment in critical areas

d) By generating occasional misidentifications scress all populations equally

Correct Answer: (a) By exhibiting higher error rates for specific demographic groups

Explanation:

The passage says:

“Studies have shown that FRT is less accurate in identifying people of colour and women.”

This results in:

• False accusations

• Wrongful detentions

Hence, injustice arises due to unequal error rates, not equal mistakes or reduced human judgment.

4. Why does the lock of transnarency in AI algorithms pose a challenge within judicial proceedings?

a) It complicates efforts to scrutinise and contest algorithm-driven outcomes

b) It leads to greater reliance on community survelliance

c) It reatricts the profensional development of law enforcement personnel

d) It discourages investment in emerging AI technologies for policing

Correct Answer: (a) It complicates efforts to scrutinize and contest algorithm-driven outcomes

Explanation:

The passage explains:

• AI systems are often proprietary

• Even officers may not understand how decisions are made

• This “Black Box” nature makes it difficult to challenge decisions in court

Thus, lack of transparency directly affects judicial scrutiny.

5. The word "opaquenees" in the paragraph refers to:

a) Clear and understandable legal processes

b) Lack of visibility or understanding

c) Openness and transparency in aystems

d) Restricted access due to security levels

The word ‘opaqueness’ in the paragraph refers to:

Correct Answer: (b) Lack of visibility or understanding

Explanation:

“Opaqueness” is used in the context of:

• Algorithms being hard to understand

• Decision-making processes not being visible

This aligns exactly with a lack of clarity or transparency, not openness or security restrictions.

6. Indin's first woman Chief Minister was:

a) Nandini Satpathy

b) Sucheta Kripalani

c) Janaki Ramachandran

d) Sheila Dikshit

Correct Answer: (b) Sucheta Kripalani

Explanation: Sucheta Kripalani became India’s first woman Chief Minister in 1963, serving as the Chief Minister of Uttar Pradesh. She was also a prominent freedom fighter and a member of the Constituent Assembly.

7. Match the following:

Tribe State

A Damor I Rajasthan

B Reang II Tripura

C Gaddi III Himachal Pradesh

D Sora IV Orissa

Select the most appropriate option:

a) A-I, B-III, C-II, D-IV

b) A-1, B-II, C-III, D-IV

c) A-IV, B-III, C-1, D-II

d) A-II, B-I, C-IV, D-111

Correct Answer: (a) A-I, B-II, C-III, D-IV

Explanation:

• Damor tribe is mainly found in Rajasthan

• Reang (Bru) tribe is primarily located in Tripura

• Gaddi tribe inhabits Himachal Pradesh

Sora (Saora) tribe is found in Odisha (Orissa)

8. Which of the following is India's first indigenously discovered antibiotic noted for its effectiveness against resistant respiratory infections?

a) Biofungicin

b) Cephalexin-M

c) Polymyxin N

d) Nafithromycin

Correct Answer: (d) Nafithromycin

Explanation: Nafithromycin is an indigenously developed antibiotic by an Indian pharmaceutical company. It is designed to treat drug-resistant respiratory tract infections, making it a significant milestone in India’s pharmaceutical research.

9. Which of the following countries has NOT formally recognised Palestine as a state?

a) France

b) Canada

c) Australia

d) Japan

Correct Answer: (d) Japan

Explanation:
Japan has not formally recognised Palestine as a sovereign state, though it supports a two-state solution and maintains diplomatic engagement with the Palestinian Authority.

10. The India-Al lmpact Summit 2026 will be the first-ever global Al summit to be hosted in a Global South nation. Deliberations at the Summit will be organized around seven interconnected Chakras i.e, areas of multilateral cooperation designed to channel collective energy towards holistic societal transformation. Which of the following is NOT specifically noted as a chakra?

a) Resilience, Innovation and Efficiency

b) Af Governance and Regulation

c) Inclusion for Social Empowerment

d) Science

Correct Answer: (b) AI Governance and regulation

Explanation: The India-AI Impact Summit 2026 is structured around seven interconnected “chakras”, each representing a focused area of multilateral cooperation in AI. These chakras include themes such as:

• Resilience, Innovation and Efficiency

• Science

• Inclusion for Social Empowerment

Other applied and policy-oriented domains linked to societal transformation