In this interdisciplinary endeavor, scholars and professionals unite on a mission to harness technology’s potential to amplify and unlock human capabilities. They explore the dynamic intersection of technology and humanity, seeking ways to enhance the human experience. By integrating insights from social sciences, design methodology, and technological expertise, this collaborative community empowers the leaders of tomorrow to increase innovation velocity while keeping humanity at the center.
D^3’s 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 Harvard Business School graduate (‘91). The blog post, “A Vision for Cultural Innovation 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 D^3’s 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 address the U.S. wealth gap, particularly within Black communities. The series explores entrepreneurial approaches […]
