Emerging technologies like generative AI are revolutionizing industries, but integrating these tools effectively poses unique challenges.
Top global executives join forces to support the Institute’s mission of making AI research for advancing business and society accessible to all The Digital Data Design Institute at Harvard (D^3) recently announced the launch of its Advisory Council and Industry Council to further its focus on using AI and digital technologies to advance business and society. The […]
In tournament-based organizations, managerial discretion in hiring significantly impacts performance and stability. Managers may sabotage by hiring lower-ability candidates to avoid future competition, a practice known as “selection sabotage.” Researchers Peiran Xiao and Hashim Zaman propose a “head start” mechanism to counteract this by giving managers an advantage in the tournament, encouraging them to hire […]
Are you tired all the time? Have trouble sleeping? You’re not alone. According to the Centers for Disease Control and Prevention, about 1-in-3 adults in the United States reported not getting enough rest or sleep every day. For the 20 million shift workers in the US—nurses, doctors, first responders, warehouse workers, truck drivers, etc.— being […]
Discover the latest publications from worldwide news outlets on the work of the Digital Data Design Institute at Harvard. Dive in below. Fortune Newsletter You’ll Probably Need to Learn a New Acronym to Keep Up with the Latest AI Trend By: Sage Lazarro InnoLead Four AI Questions Organizations Need to be Discussing By: Scott Kirsner […]
BOSTON – The Digital Data Design Institute at Harvard (D^3) announced today two multi-year corporate partnerships and one research partnership, a first since the Institute’s inception in 2022. The corporate partners include JPMorgan Chase and Boston Consulting Group, who will work with Harvard and Harvard Business School faculty and researchers within their labs at D^3 […]
Artificial intelligence has the potential to radically transform the operational aspects of businesses. Delivery businesses are a quintessential example of where such an AI-enabled transformation could occur. For example, companies like Grab (Southeast Asia’s largest all-in-one digital platform provider) employ cutting-edge AI algorithms to enhance overall efficiency of its delivery fleet. Grab leverages complex machine learning algorithms to predict delivery demand and to manage logistics, thereby increasing customer satisfaction. Such applications of AI could help businesses cut down on cost and allocate resources more efficiently, improve the on-the-job experience for their employees, and understand the needs of their customers better to provide the holistic service their customers need when they need it.
How well can AI understand and reinterpret human emotions? In a revealing study by the Digital Emotions Lab, GPT-4 not only grasped the essence of human disappointments but also excelled in transforming these sentiments positively, outstripping humans in crafting cognitive reappraisals.
The D^3 Institute recently convened the Generative AI Collaborative Working Group in order to build collective knowledge around the subject of equitable AI implementation. This global, interdisciplinary group of experts gathered weekly to discuss the ways in which generative AI will likely continue to impact various sectors and societies. Through a series of interactive discussions […]
Although artificial intelligence technology has been around for some time, current advancements in this space warrant more ethical approaches for developing and deploying AI systems to benefit a large portion of society. Artificial intelligence, generative AI in particular,has already shown immense potential to augment human capabilities. This potential, however, doesn’t seem to be evenly distributed. What’s worse, risks such as social and economic disparities are exacerbated by the uneven distribution of artificial intelligence, and are concentrated in specific regions based on demographic characteristics. It’s imperative to strive toward building a framework of transparency, fairness, and accountability around artificial intelligence on a global scale in order to mitigate this problem.