As AI continues to reshape industries globally, the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (D^3)) and the 性视界 Business School Club of the Gulf Cooperation Council hosted AI Elevate: From Readiness to Exponential Growth on December 13, 2024, in Dubai, UAE. This one-day conference provided business leaders, researchers, […]
As artificial intelligence systems become increasingly complex, understanding their behavior has become a critical challenge for businesses and researchers alike. In a recent preprint paper, 鈥淭owards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability,鈥� authors Shichang Zhang, a postdoctoral fellow in the Trustworthy AI Lab at the 性视界 Business School AI Institute, Tessa […]
A recent post from the blackbox Lab at the HBS AI Institute, 鈥淏ridging the Care Gap: How RE-Assist Enhances Healthcare Access,鈥� featured a conversation between James W. Riley, Principal Investigator of the lab and Assistant Professor of Business Administration at HBS, and Ashley Barrow, Principal Product Owner of RE-Assist. Their conversation covered the impetus for […]
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 […]
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, […]
In an era of data-driven business decision-making, the ability to design experiments that produce reliable, actionable results is essential. In their research, 鈥淎nytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference鈥�, first published in 2022 and updated in 2024, Michael Lindon, research scientist at Netflix; Dae Woong Ham, Assistant Professor at University of Michigan鈥檚 Ross […]
Regulatory agencies like the Occupational Safety and Health Administration (OSHA) and the state agencies it oversees have significant responsibilities in ensuring safe working conditions in millions of workplaces nationwide. However, these agencies face significant challenges due to limited resources, and inspect less than 1% of workplaces annually. In their article, 鈥淢aking Workplaces Safer Through Machine […]