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How AI cheating led a professor to abolish graded homework

A UC Berkeley professor discusses the impact of AI on education and the shift to in-person exams.

10 November 2026 · 5 min read
How AI cheating led a professor to abolish graded homework

The impact of artificial intelligence on education is becoming increasingly evident, forcing educators to reconsider traditional methods of assessment. One prominent response came from a Fields Medal-winning professor at the University of California, Berkeley, who made headlines by eliminating graded homework due to rampant cheating facilitated by AI technologies.

As AI systems like OpenAI’s ChatGPT and Google’s Bard gain acceptance in society, the ramifications of their use in academic settings have sparked major debates. The professor’s decision underlines how tools designed to enhance learning can inadvertently undermine it.

The rising threat of AI in academia

In recent years, generative AI has transformed the landscape of education. While tools like ChatGPT can assist in learning and research, they also pose significant risks related to academic honesty. The professor, who utilizes a highly mathematical curriculum, noted that students were employing AI to produce complete assignments, rendering traditional homework ineffective for assessing mastery of the subject.

This shift has led to troubling questions about the integrity of academic work. Educators across institutions face a challenge they previously could not have anticipated. With AI as a rapidly available resource, students may find it easier to rely on these technologies rather than engaging deeply with the material. Consequently, the distinction between understanding a topic and merely passing tests with AI assistance has blurred.

Why homework was deemed ineffective

The decision to end graded homework was not made lightly. The professor explained that, despite several attempts to adjust homework formats - including open-ended questions requiring critical thinking - students still found ways to cheat. The AI systems produced plausible-sounding content that met assignment criteria, making it difficult for educators to identify who truly grasped the material.

In the traditional model, homework is crucial for reinforcing concepts learned in class. However, the professor’s observations suggest that the reliance on assignments for assessment has been compromised. Students, rather than taking ownership of their learning, were effectively outsourcing the task to AI tools.

Shift towards in-person exams

In response to these challenges, the professor has pivoted towards in-person examinations as the primary mode of assessment. This marks a significant change in approach, as it harkens back to more traditional educational practices where students' understanding is evaluated in real-time, under controlled conditions.

In-person exams, while stressful for many students, offer a number of advantages. They enable educators to observe students’ problem-solving processes and can reduce the likelihood of cheating by maintaining an environment where AI tools cannot be readily accessed. Furthermore, this approach emphasizes a student’s individual understanding of the material, rather than their ability to game assignments with technology.

Balancing technology and education

The transition back to in-person exams presents its own set of challenges. As technology continues to evolve and learning increasingly incorporates online elements, educators must find a balance that integrates AI responsibly without compromising the integrity of academic assessment.

Many educators argue that technology can coexist with traditional learning methods. Some advocate for the inclusion of AI in learning, suggesting that teaching students how to effectively utilize these tools may better prepare them for a workplace that increasingly expects such competencies.

The conversation around AI in the classroom is ongoing, with experts advocating for clear guidelines and ethical frameworks governing its use. As AI applications become sophisticated, institutions may need to reconsider their assessment strategies further.

The future of assessment in education

The professor's bold decision has opened a dialogue about what the future of assessments might entail. As educational institutions grapple with AI's implications, it’s clear that the traditional grading systems conducted online or through homework might require a reevaluation.

Incorporating more hands-on, practical assessments may be one avenue forward. These formats allow educators to gauge understanding in a more comprehensive manner, while also reducing opportunities for malfeasance. However, this requires a significant investment in educational practices and possibly even a cultural shift in how students approach their learning and assessment processes.

The evolution of education in the AI age may well redefine what it means to be a student. A deeper integration of critical thinking, ethical reasoning, and collaboration with AI can prepare learners for the advancements in technology that lie ahead. Institutions must adapt continually, learning from experiences and challenges that AI brings to the classroom.

Looking ahead: the changing landscape of education

The transition towards in-person exams highlights an increasingly urgent need for educational reform. As AI tools become ubiquitous, educators will have to innovate continuously. The professor’s stance is just a single response within a broader movement toward rethinking assessment methods that grapple with the profound changes brought on by AI.

Ultimately, the trajectory of how AI impacts education will depend on the collaborative efforts of educators, policymakers, and technologies themselves. Adapting to these changes with forward-thinking approaches will be essential as schools navigate uncharted waters in teaching and learning within an AI-enhanced landscape.

Frequently asked questions

What prompted the UC Berkeley professor to end graded homework?

The professor found that students were increasingly relying on AI tools to complete their homework assignments, undermining the assessment’s effectiveness in evaluating their understanding of the subject matter.

How will in-person exams help prevent cheating?

In-person exams reduce the accessibility of AI tools during assessments, allowing educators to evaluate students in real-time and assess their problem-solving abilities directly.

What are the implications of AI on the future of education?

AI's growing presence in education calls for a reevaluation of assessment methods and the integration of technology into learning, urging educators to find a balance that maintains academic integrity while preparing students for a technology-driven future.