November 2024 - LLMs in Scientific Research Workflows

Beyond principlism: Practical strategies for ethical AI use in research practices

November 30, 2024November 30, 2024rwatkins

The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly large language models (LLMs), has outpaced the development of ethical guidelines, leading to a “Triple-Too” problem: too many high-level ethical initiatives, too abstract principles lacking contextual and practical relevance, and too much focus on restrictions and risks over benefits and utilities. Existing approaches—principlism […]

Generative AI for Economic Research

November 26, 2024November 30, 2024rwatkins

Large language models (LLMs) have seen remarkable progress in speed, cost efficiency, accuracy, and the capacity to process larger amounts of text over the past year. This article is a practical guide to update economists on how to use these advancements in their research. The main innovations covered are (i) new reasoning capabilities, (ii) novel […]

Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide

November 12, 2024December 4, 2024rwatkins

In social sciences, researchers often face challenges when conducting large-scale experiments, particularly due to the simulations’ complexity and the lack of technical expertise required to develop such frameworks. Agent-Based Modeling (ABM) is a computational approach that simulates agents’ actions and interactions to evaluate how their behaviors influence the outcomes. However, the traditional implementation of ABM […]

Month: November 2024

Beyond principlism: Practical strategies for ethical AI use in research practices

Generative AI for Economic Research

Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide

Highlighted Resources

Categories