Every student walk into an examination believing that their result will reflect what they know. That trust is fundamental to education. Yet in large-scale descriptive assessments, achieving complete consistency across thousands or even millions of answer scripts remain one of the biggest challenges facing education systems today.

Even though subjectivity still remains one of the most significant components of measuring traits such as creativity, analytical and critical thinking skills, it also creates the issue of numerous discrepancies. Two perfectly qualified evaluators might grade the same response differently depending on how they interpreted it, the time of day, their work fatigue, workload or their preferences. Unfortunately, students have to bear such situations and have them affect their scholarship, studies and self-belief.

Such a situation gets more complicated, considering modern education tends to rely on competencies. Reasoning, critical and analytical thinking, communication, and problem-solving skills cannot be evaluated properly with objective questions. This is what gives rise to the need for descriptive answers, which, however, need to be evaluated coherently.

In the era of competence-based learning and artificial intelligence, the discussion has to go further than just the digitalisation of the assessment.

Fairness begins with consistency
Assessment is one of the most important stages in the process of education. The grades obtained in assessments determine not only academic performance, but also future prospects. However, despite progress in teaching methods, evaluation continues to be one of the least standardised aspects of education.

For contemporary teachers, there are thousands of descriptive responses in answer sheets to be reviewed in a short timeline. Assessment, for many teachers, is the most time-consuming aspect of their professional life and reduces the amount of time available for student engagement and doubt-solving sessions.

Complete objectivity regarding every sheet is almost impossible, not due to the insufficient competence of educators, but due to the natural variability of human evaluation.

The problem is especially acute in large educational systems, such as Indian education, which involves the assessment of millions of descriptive answers in a year.

The question is not about the impartiality of teachers; the question is about whether the system allows them to achieve impartiality.

Technology should strengthen teacher judgement, not replace them
AI has raised legitimate questions within the realm of education. One such area focuses on whether AI can replace teachers. However, the bigger issue is how AI can assist teachers in creating consistent and equal results.

The OECD writes in the OECD Digital Education Outlook 2026 that AI in education should be understood not as technology which aims to automate, but instead as tools that enhance professional judgement.

AI should be positioned to augment human judgement, not to automate it, to enhance the role of educators and support informed assessment decisions. When developed ethically, AI has the potential to support the grading of descriptive answers, providing a uniform application of rubrics, exploring the level of concept comprehension and revealing knowledge gaps, while keeping educators at the core of the assessment process.

Feedback is becoming as important as marks
Modern assessments should not end with marks. Every assessment should generate learning intelligence that helps teachers understand why students are struggling, not simply whether they answered correctly.

Marks show students where they are standing, while feedback teaches them how they can do better. The traditional assessment system faces the challenge of providing feedback because of the large number of answer sheets that teachers need to check.

The AI-powered assessment addresses this by giving the students organized and guided feedback that points out where students are either lacking in their understanding or are making repeated mistakes. It offers insight for the teacher into the conceptual gaps and misconceptions. Teachers can intervene and examine on an individualised level, on a small-group level, and even on a class level with precision teaching.

Building trust through responsible AI
With the advancement in AI tools, students, parents, and teachers need to have faith that the AI-assisted assessment is not only transparent but also unbiased. To maintain control, all recommendations produced by artificial intelligence must be able to link to specific evaluation criteria, and educators must be allowed to review and adjust them where necessary.

UNESCO is also promoting human-centric application of AI for education by embracing transparency, accountability, and privacy. Furthermore, in advocating for AI in education, we need to be careful that AI systems will primarily assess students’ knowledge and not how well they write, their preferred format or language.

Transparency must therefore be reflected in processes of assessment, as the information about its usage must be available to educators, teachers and parents to develop confidence, rather than assuming opacity.

Every learner deserves an equal opportunity
Building on a framework of trust, it always boils down to a basic level of trust. Students trust that they will be evaluated according to their efforts. Parents trust that their children are evaluated on their knowledge and progress. Teachers believe the purpose of assessment is to grow their students rather than to achieve a grade.

In classrooms and with ever-growing learning expectations, using solely individual adjunct evaluator judgment is no longer sufficient. The assessment system must be coherent, transparent, and scalable to provide valuable feedback.

When AI is used correctly, it plays a role as an aid for teachers, not to replace them, but to enhance the objectivity of assessment, add reliability to judgment and speed the feedback loop to students on their journey. It may help teachers, particularly in mundane tasks, so they can focus on coaching students.

The future of assessment is not to remove human intelligence, but to amplify it: increase its consistency, accuracy, evidence-based rich feedback and insight into action. Used responsibly, AI empowers every assessment as a measurement and as a driver for improvement.

Assessment represents one of the richest data sources for education intelligence, one that has arguably been one of the most undervalued in the past. Almost all our rich assessment tasks provide a rich stream of data reflecting learners’ understanding and progress. Modern assessment systems should transform this evidence into actionable insights that improve teaching and learning, not simply generate marks.

Views are personal

The author is Co-Founder & CEO, Smartail