By Jahanzeb Ahmad It seems like conversations and discussions about AI are everywhere right now, and it is understandable to feel overwhelmed by it all. We hear many positive things about what AI can do, how everything has changed, and how this is the future. At the same time, there are valid concerns about how
Getting Started with Creating AI Agents: No Need for Perfection! Read More »
This paper published in Assessment & Evaluation in Higher Education explores the complex and evolving challenges that generative AI presents to assessment in higher education. Drawing on interviews with 20 university educators, the authors argue that the issue of AI in assessment should be understood as a “wicked problem”—one without clear solutions or definitive endpoints.
The Wicked Problem of AI and Assessment Read More »
The 2024 Pan-Canadian Report on Digital Learning, published by the Canadian Digital Learning Research Association (CDLRA), examines the evolving landscape of digital learning in Canada’s post-secondary institutions. A significant focus of the report is the integration and impact of Generative Artificial Intelligence (GenAI) in education. Usage and Adoption:There was a large increase in GenAI use
GenAI Highlights: The 2024 CDLRA Pan Canadian Report on Digital Learning Read More »
This paper introduces “Interactionalism,” a framework for learning design in the GenAI era, emphasizing interactional intelligence—meta-cognitive and meta-emotional skills critical for working with AI agents. It proposes actionable pedagogical strategies to foster human-AI collaboration in skill development.
Interactionalism: Re-Designing Higher Learning for the Large Language Agent Era Read More »
This study evaluates GPT-4’s effectiveness in financial statement analysis, demonstrating superior directional earnings predictions compared to human analysts, especially in challenging scenarios. GPT-4 matches state-of-the-art ML models in accuracy and generates valuable narrative insights. Trading strategies based on GPT-4 yield higher Sharpe ratios and alphas, indicating its potential for central roles in financial analysis and
Financial Statement Analysis with Large Language Models Read More »
This paper advocates for developing AI systems as collaborative “thought partners” that engage in shared reasoning, complement human cognition, and build human-compatible models. It proposes a Bayesian framework for designing such systems, emphasizing reliability, trust, and mutual understanding in human-AI partnerships.
Building machines that learn and think with people Read More »
This paper explores the transformative potential of generative AI in human learning, highlighting its ability to personalize education, diversify resources, and enhance assessments. Key challenges include ethical concerns, model limitations, and traditional assessment disruption. Rigorous research and AI literacy are essential for effective integration.
Promises and challenges of generative artificial intelligence for human learning Read More »
This study evaluates LLMs in generating novel research ideas, comparing LLM outputs directly with ideas from over 100 expert NLP researchers. Findings reveal that LLM-generated ideas are rated as more novel (p < 0.05) but slightly lower in feasibility. The study highlights challenges in LLM self-evaluation and idea diversity, proposing a comprehensive design for future
Can LLMs Generate Novel Research Ideas Read More »
A few papers that introduce and document the generative capabilities of foundation models and pre-trained transformers, in both open- and closed- source forms
Large Language Models Fundamentals Read More »
This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the Expertise Paradox suggests that AI’s adequate performance at lower level tasks may weaken students’ development of higher-level thinking;
Exploring the Impact of ChatGPT on Business School Education Read More »
Papers that show how Large Language Agents be patterned and chained together to replicate useful workflows
Large Language Agents: Architectures Read More »
Papers that discuss the specific difficulties that experts and lay people alike experience in designing successful prompts for LLM’s and Large Language Agents (LLA’s)