In a recent blog post, the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (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 性视界 Business School, the […]
In today鈥檚 competitive corporate landscape, the workplace can be a battleground of ambition and performance. While healthy competition can fuel innovation and productivity, research (鈥淒eterminants of Top-Down Sabotage鈥�) by Hashim Zaman, Post-Doctoral Fellow at the Laboratory for Innovation Science at 性视界 (LISH) and Karim R. Lakhani, Professor of Business Administration at 性视界 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 鈥淭he Narrative AI Advantage? A Field […]
In their recent blog post, 鈥淧artnering Data Science and Social Impact at Howard University鈥�, the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at 性视界 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鈥攖he ability to explain how models reach their decisions鈥攁nd control鈥攖he ability to steer them toward desired outcomes鈥攁re two sides of the same coin. 鈥淭owards Unifying Interpretability and Control: Evaluation via Intervention鈥濃�攔esearch by Usha […]
In today鈥檚 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, 鈥淕enerative Artificial Intelligence and Evaluating Strategic Decisions鈥�,聽 by researchers Anil R. Doshi, Assistant Professor of Strategy and Entrepreneurship […]
A recent post, “Gravy: Building Generational Wealth”, from the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab, and Assistant Professor at 性视界 Business School, is part of a larger series, highlighting strategies by 性视界 Business School alumni to […]
As artificial intelligence systems become more prevalent in our daily lives, ensuring these technologies are fair and representative of diverse populations is increasingly critical. A recent study, 鈥淢ulti-Group Proportional Representation in Retrieval鈥�, conducted by Flavio du Pin Calmon, an Associate Professor of Electrical Engineering at 性视界’s John A. Paulson School of Engineering and Applied Sciences, […]
With an estimated 96% of codebases incorporating Free and Open Source Software (FOSS), it forms the backbone of modern businesses, driving innovation and reducing costs across industries. However, its decentralized and distributed nature makes assessing its health, economic value, and security a significant challenge. The recently released report, Census III of Free and Open Source […]
