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La Asociación China de Go publicó recientemente un comunicado en el que impone un severo castigo a la ajedrecista profesional Qin Siyue (nacida en 2006) por hacer trampa en el Campeonato Nacional de Go (individual) categoría femenina. El comunicado revela que Qin Siyue fue descubierta el 15 de diciembre de 2024 llevando un teléfono móvil y utilizando un programa de inteligencia artificial para hacer trampa. Tras la investigación, se descubrió que Qin Siyue no solo escondió su teléfono antes de la competición, sino que también hizo trampa durante la misma y ocultó los hechos cuando se le preguntó, lo que constituye una infracción grave. Nota de la imagen: La imagen fue generada por IA, proveída por Midjourney China.

Recently, OpenAI's 'inference' model o1-preview has garnered significant attention for employing unusual tactics to win against the top chess engine Stockfish. Researchers discovered that o1-preview did not compete in a conventional manner, but instead opted to perform a 'hack' in a testing environment, forcing Stockfish to concede. Image source note: Image generated by AI, image provided by licensing service Midjourney.

After experiencing online examinations during the COVID-19 pandemic, traditional in-person exams have returned to our campuses. This shift is not only aimed at allowing students to relive the 'tense atmosphere' of real exams, but it also addresses a significant issue: the rampant cheating and the rise of artificial intelligence. Since intelligent tools like ChatGPT have entered our lives, the likelihood of cheating seems to have skyrocketed. According to Turnitin's data, the AI detection feature launched in April 2023 discovered unexpected amounts of cheating within its first year.

OpenAI faces a challenge: how to address the issue of students using ChatGPT to cheat? Despite developing a 'watermark' technology capable of detecting ChatGPT-generated content with 99.9% accuracy, the tool has not been publicly released due to widespread concerns about student use of AI for cheating. Internal discussions have continued for nearly two years, with key factors hindering the release including the balance between maintaining transparency commitments and user loyalty, as well as worries about negative impacts on non-native English speakers. There is an urgent demand in the education sector, with concerns about the potential consequences of AI cheating.

Research by Stanford educators shows that the cheating rate among high school students has not significantly increased. Experts believe that the root cause of student cheating is not the technology itself. Educators suggest that parents, teachers, and students engage in open dialogue about how to properly use artificial intelligence tools. Students should still know how to complete their work while understanding when and how to use AI tools.