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The following insights are derived from a recent session on GenAI in Healthcare. On November 15th, the D^3 Institute’s Generative AI Observatory hosted the first session in its GenAI in Healthcare series, produced in collaboration with the Responsible AI Institute. Speakers Satish Tadikonda (HBS), Nikhil Bhojwani (Recon Strategy), Var Shankar (Responsible AI Institute), and Alyssa […]

The following insights are derived from a recent Insights from the Field event featuring Chad Sanderson, covering the topic of Data Contracts for achieving high-quality data for Artificial Intelligence (AI). Overview Chad began this session by demystifying some hyperbolic claims in the world of Artificial Intelligence (AI), including the idea that AI models could replace […]

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On October 22-23, the Digital Reskilling Lab hosted the “Revitalize, Reinvent, Reskill: Unlocking Workforce Productivity” conference, a collaborative effort between the Digital Data Design Institute at Harvard and Managing the Future of Work at Harvard Business School. This event convened business leaders and reskilling practitioners to engage in discussions on reskilling methodologies and share cutting-edge […]

Historically, there has been limited attention and innovation in addressing issues like menopause, endometriosis, and menstrual health. This is partly due to the underrepresentation of women as inventors and entrepreneurs. However, some exceptional women like Geetha Manjunath and Linda Griffith have made significant contributions by leveraging their personal experiences and expertise. Geetha Manjunath, with a […]

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side […]

In collaboration with Boston Consulting Group (BCG), new research from Digital Data Design Institute at Harvard chair and co-founder Karim Lakhani Karim R. Lakhani and others explores field experimental evidence of the effects of AI on knowledge worker productivity and quality. It involved evaluating the performance of 758 consultants, which make up 7% of the […]

In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely. Companies have a critical role to play in addressing this challenge, but to […]

This is a continuation of insights shared during a recent Assembly Talk featuring Sushant Tripathy; Research Scientist in Machine Learning at Google. Most practical examples of hybrid-AI in businesses have to do with organizations effectively deploying hybrid-AI to improve the efficiency of computing tasks. The following are a few examples of promising applications:

“Customers will expect AI-enhanced experiences with companies,” says Karim Lakhani, co-chair of the Digital Data Design Institute at Harvard and professor at Harvard Business School. “Business leaders must experiment, create sandboxes, run internal bootcamps, and develop AI use cases not just for technology workers, but for all employees. Change and change management are skills that […]