Large language models (LLMs) released for public use incorporate guardrails to ensure their output is safe, often referred to as “model alignment.” The study presented by Chirag Agarwal Chirag Agarwal , Suraj Srinivasan Suraj Srinivasan , Himabindu Lakkaraju, Aounon Kumar, and Aaron Jiaxun Li, along with University of Maryland colleague Soheil Feizi, investigates a novel […]
How will the release of generative AI tools affect freelance jobs that require different skills or software? Research from Ozge Demirci Ozge Demirci , along with colleagues Jonas Hannane from the German Institute for Economic Research and Xinrong Zhu from Imperial College Business School, examines the impact of generative AI technologies like ChatGPT and image-generating […]
Can market research be done effectively with a synthetic market? This research from Ayelet Israeli Ayelet Israeli , along with Microsoft colleagues James Brand and Donald Ngwe, presents a comprehensive study on the application of Large Language Models (LLMs) like GPT-3.5 in market research. It explores the extent to which these models can simulate consumer […]
There is a growing belief that scalable and low-cost AI assistance can improve firmdecision-making and economic performance. However, running a business involvesa myriad of open-ended problems, making it hard to generalize from recent studiesshowing that generative AI improves performance on well-defined writing tasks. Research from Rem Koning Rem Koning and Rowan Clarke, along with colleagues […]
The COVID-19 pandemic forced widespread social distancing, affecting every aspect of society, including universities. Face-to-face interactions, crucial for sparking innovative ideas and collaborations, were replaced by video conferences, raising concerns about the impact on scientific knowledge and discovery. As organizations adopt hybrid or fully remote work models, questions arise about the “death of distance” in […]
Insights from the December 13th, 2023 session on Gen AI use cases in the BioPharma sector.
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 […]
