#GenerativeAI

The University of Washington’s (UW) Paul G. Allen School of Computer Science & Engineering has become a leading example of how academic institutions are radically rethinking computer science education to meet the demands of the artificial intelligence (AI) revolution—an era where, some argue, “coding is dead” and the value of conventional programming is being transformed by generative AI technologies like ChatGPT. This evolution not only reshapes the way students are taught but also raises urgent questions for Thai educators, institutions, and policymakers about how to prepare local graduates for a rapidly changing job market increasingly shaped by automation and intelligent systems.

A new study has uncovered a provocative link between “dark” personality traits and the use of generative artificial intelligence (AI) among university art students, sparking debate about academic integrity and the psychological pressures facing creative students in the digital age. The research, conducted among over 500 art students at leading universities in Sichuan, China, found that those with higher levels of narcissism, Machiavellianism, psychopathy, and materialism are significantly more likely to engage in both AI-assisted academic misconduct and behaviors such as plagiarism and procrastination. These patterns were also closely associated with heightened academic anxiety and frustration, suggesting a troubling cycle that may be intensified as AI technology becomes more accessible.

As artificial intelligence (AI) technologies like ChatGPT shake up global academia, leading computer science faculties—including those at top international institutions—are urgently reassessing what it means to educate the next generation of tech talent. The shift, driven by the rapid rise of generative AI tools that can write code and answer questions with humanlike fluency, is sparking debate across universities in Thailand and worldwide about what computer science students truly need to learn to thrive in the AI era (New York Times).

A surge of public resistance to generative artificial intelligence (AI) has been gaining momentum, with consumers, workers, and local communities voicing sharp criticism against what many see as the unchecked advance of disruptive technology. Recent events, such as the backlash against Duolingo’s shift to an “AI-first” model and the mounting protests over data center pollution, underscore a growing sentiment that AI is beginning to harm more lives than it helps, stirring wide-ranging debates in both the digital and physical worlds (Wired).

Meta’s recently launched AI site has transformed private prompting into a public, social experience, causing both fascination and discomfort among users and experts. As the world’s leading social media company, Meta is experimenting with a Pinterest-like social feed for its Meta AI chatbot, allowing users to share their AI prompts and generated content with the world in just a few clicks. This change marks a significant shift from the traditional, private experience of using generative AI tools like ChatGPT, Google Gemini, or Claude, where prompts and outputs remained mostly confined to the user unless deliberately shared elsewhere.