AI Literacy
AI literacy focuses on equipping individuals with the knowledge and skills to understand, use, and critically evaluate artificial intelligence (AI) systems, particularly in the context of rapidly evolving technologies like large language models (LLMs). Current research emphasizes developing interdisciplinary curricula that balance technical understanding with ethical and societal considerations, exploring effective pedagogical approaches like prompt engineering instruction and game-based learning to foster critical engagement. This burgeoning field is crucial for responsible AI development and deployment, impacting various sectors from education and healthcare to mitigating the risks of misinformation and promoting equitable access to AI technologies.
Papers
Untangling Critical Interaction with AI in Students Written Assessment
Antonette Shibani, Simon Knight, Kirsty Kitto, Ajanie Karunanayake, Simon Buckingham Shum
"Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models
Kyrie Zhixuan Zhou, Abhinav Choudhry, Ece Gumusel, Madelyn Rose Sanfilippo