In a recent blog post, the Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) blackbox Lab formally introduced itself to its readership, highlighting its mission to explore the intersection of race, culture, technology, and business in digital spaces. Led by James Riley, Assistant Professor at Harvard Business School, the […]
Large language models (LLMs) have exhibited remarkable capabilities across various domains; from finance to healthcare, education to content creation, their potential seems limitless. However, as businesses increasingly embrace these powerful tools, understanding their nuances becomes crucial. One critical aspect is fine-tuning, a process that adapts LLMs to specific tasks. While fine-tuning promises enhanced performance, research […]
In today’s competitive corporate landscape, the workplace can be a battleground of ambition and performance. While healthy competition can fuel innovation and productivity, research (“Determinants of Top-Down Sabotage”) by Hashim Zaman, Post-Doctoral Fellow at the Laboratory for Innovation Science at Harvard (LISH) and Karim R. Lakhani, Professor of Business Administration at Harvard Business School, founder […]
As businesses grapple with an ever-growing volume of ideas, products, and solutions to evaluate, decision-making processes are being reshaped by artificial intelligence (AI). Generative AI, in particular, has emerged as a game-changer in creative problem-solving and evaluation, as demonstrated by a recent field experiment described in the working paper “The Narrative AI Advantage? A Field […]
In their recent blog post, “Partnering Data Science and Social Impact at Howard University”, the Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, showcases how their partnership with Howard University empowers […]
As large language model (LLM) systems grow in complexity, the challenge of ensuring their outputs align with human intentions has become critical. Interpretability—the ability to explain how models reach their decisions—and control—the ability to steer them toward desired outcomes—are two sides of the same coin. “Towards Unifying Interpretability and Control: Evaluation via Intervention”—research by Usha […]
The Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, recently featured a blog post highlighting key points from a discussion with Lewis Long, Founder and President of Long Gallery Harlem and […]
In today’s data-driven world, businesses face the dual challenge of leveraging vast datasets to gain insights while ensuring compliance with stringent data privacy regulations. The concept of machine unlearning, a method for efficiently removing the influence of specific data points from machine learning models, represents a paradigm shift in managing data responsibly. Recent research explores […]
As artificial intelligence (AI) continues to advance rapidly, its potential to transform strategic decision-making processes in business is becoming increasingly apparent, but how can strategists be sure their AI tools are getting it right? A recent study, “Generative Artificial Intelligence and Evaluating Strategic Decisions”, by researchers Anil R. Doshi, Assistant Professor of Strategy and Entrepreneurship […]
A recent post, “Gravy: Building Generational Wealth”, from the Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab, and Assistant Professor at Harvard Business School, is part of a larger series, highlighting strategies by Harvard Business School alumni to […]