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.
In an interconnected world, emotions don’t just exist within individuals; they flow through groups and entire networks. In “What Makes Groups Emotional?,”1 Amit Goldenberg, Assistant Professor of Business Administration at HBS and Principal Investigator at the Harvard Business School AI Institute Digital Emotions Lab, summarizes literature to explore the components and dynamics of group emotions, […]
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, “Making Workplaces Safer Through Machine […]
In an era defined by increasing social activism, understanding the mechanics of effective protest is essential for researchers and “social actors,” or organizers of social protests, as well as for politicians, policymakers, and journalists navigating social change. A review of literature, “When Are Social Protests Effective?”1, by Eric Shuman, a postdoctoral fellow at New York […]
The integration of artificial intelligence, such as generative AI, into daily workflows is helping workers streamline their approach to all sorts of tasks. “Generative AI and the Nature of Work” by Manuel Hoffman, postdoctoral fellow at Laboratory of Innovation Science at Harvard (LISH), Sam Boysel postdoctoral fellow at LISH, Frank Nagle, an Assistant Professor in […]
