Gather round, fellow researchers. AI has become a valuable research companion, and it’s here to stay. But even good companions can lead you astray. What follows is no fiction: this issue features three true AI horror tales that made the news, of vanished work, phantom sources, and a creature that crept past peer review. Read them by candlelight, and take away the lesson each one teaches about using AI in research, so you won’t be the one haunted next.
Artificial Intelligence
AI models don’t read words or interpret images the way humans do. They process input and output in small units called tokens, the fundamental currency of AI computation and the building blocks of AI communication. Tokenomics provides a framework for measuring and managing these costs, shaping research budgets and resource allocation. This month, we unpack this framework and share practical ways to keep costs less unpredictable.
Artificial intelligence (AI) is a field of research and a class of technologies that enable systems to perform tasks requiring human intelligence, such as understanding language, recognizing patterns, reasoning, and learning from data. As AI evolves, so does its terminology. This handout clarifies key AI terms and highlights AI resources available on campus for research and learning.