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As digital platforms continue to reshape markets, the intersection of competition, innovation, and regulation demands nuanced understanding. On April 17–18, 2025, Digital Data Design Institute’s Platform Lab and Harvard Business School hosted the third annual Digital Competition and Tech Regulation Conference, convening over 70 leading academics, industry practitioners, and policymakers from around the world. With […]

Ahead of National AI Literacy Day on Friday, March 28, the Digital Data Design Institute at Harvard (D^3) announced the official launch of “Future Proof with AI,” an AI-enabled training platform that offers AI upskilling for mid-career professionals. In addition to its existing modules in marketing, strategy, and finance, Future Proof with AI now offers […]

Industry leaders and global academics join forces to advance innovation in digital technology, data, and design through collaboration and cutting-edge research. The Digital Data Design Institute at Harvard (D^3) is excited to announce its latest cohort of Executive Fellows and Visiting Researchers and Scholars, furthering its mission to drive innovation at the intersection of digital […]

The Digital Data Design Institute at Harvard is excited to share that its proposal for a South by Southwest (SXSW) panel on AI has made it to the voting round. Every March, Austin, Texas transforms into a hub of creativity and innovation as it hosts SXSW, the premier festival that brings people together from all […]

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 […]

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.

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.

Owing to the accelerated advancement in the field of generative AI technologies, it’s important to address misconceptions about what generative AI tools can and cannot do in order to maximize the benefits and minimize potential harms. In this “Ask me Anything” session, Amanda demystifies some of the most commonly held misconceptions about generative AI via discussions of real-world use cases. While responding to specific questions, Amanda highlights areas in which generative AI seems to thrive, while she also identifies notable shortcomings of the technology by drawing from her diverse and extensive experience as a digital transformation expert and a sought-after advisor to leading organizations in artificial intelligence and machine learning technologies.