In an era dominated by oceans of data, D^3 hosts a community of practice that offers a discerning perspective on the intricate tapestry of data governance, privacy, security, and regulatory compliance. Participants in this community engage in a comprehensive discourse amongst industry experts, exploring responsible AI and the dynamic realm of regulations, industry standards, and best practices. The community explores how to harness the immense potential of data for strategic business advancement while ensuring the safeguarding of sensitive information, upholding privacy rights, and establishing or integrating resilient and ethical frameworks that underpin success in data-driven endeavors.
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 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 […]
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, “Multi-Group Proportional Representation in Retrieval”, conducted by Flavio du Pin Calmon, an Associate Professor of Electrical Engineering at Harvard’s John A. Paulson School of Engineering and Applied Sciences, […]
