As artificial intelligence continues to reshape industries and business paradigms, the need for AI literacy among business leaders has never been more critical. To discuss AI literacy and many other timely topics on AI, the Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) and the HBS Club of the […]
As artificial intelligence continues to reshape industries globally, the Harvard Business School AI Institute (previously the Digital Data Design Institute at Harvard (D^3)) and the HBS Club of the Gulf Cooperation Council (GCC) hosted AI Elevate: From Readiness to Exponential Growth on December 13, 2024, in Dubai, UAE. This one-day conference provided business leaders, researchers, […]
Is OpenAI’s high-end research assistant worth the price tag? As we enter the era of enterprise AI agents, OpenAI is reportedly preparing to test the market with a bold new pricing strategy. According to recent reporting, the company is planning a tiered approach for autonomous AI “agents” that could significantly reshape knowledge work: For CEOs […]
As the urgency to address climate change intensifies, the role of venture capital (VC) in driving climate technology innovation has come under scrutiny. A recent working paper, “Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups,” explores this dynamic. The authors, Shirley Lu, George Serafeim, and Simon Xu, of Harvard Business […]
As AI continues to evolve at a breakneck pace, the quest for aligning these systems with human values has become paramount. However, a recent study, “More RLHF, More Trust? On The Impact of Preference Alignment on Trustworthiness”, by Aaron J. Li, a master’s student at the Harvard John A. Paulson School of Engineering and Applied […]
As the global economy grapples with the pressing challenges of climate change, a new paradigm is emerging in the world of finance and investment. In their working paper, “Climate Solutions, Transition Risk, and Stock Returns,“ researchers Shirley Lu, Assistant Professor of Business Administration at Harvard Business School (HBS) and an affiliate of the Harvard Business […]
In an era where artificial intelligence (AI) increasingly shapes our digital landscape, the concept of “machine unlearning” (ML) has emerged as a potential solution to various challenges in AI governance. First authors A. Feder Cooper, Faculty Associate at The Berkman Klein Center for Internet & Society at Harvard University; Christopher A. Choquette-Choo, Research Scientist at […]
In an era where data is constantly evolving and privacy concerns are paramount, the work of Monika Henzinger, a Professor at the Institute of Science and Technology in Austria; Roodabeh Safavi, a PhD student at the Institute of Science and Technology in Austria; and Salil Vadhan, the Vicky Joseph Professor of Computer Science and Applied […]
The business world is increasingly aware of the risks and opportunities climate change presents. Companies are developing and commercializing new products and services that contribute to a low-carbon economy, or “climate solutions” (CS). In the recent HBS working paper, “The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis,” […]
As businesses increasingly adopt large-scale AI models, optimizing training efficiency is crucial. In “How Does Critical Batch Size Scale in Pre-training?”, Hanlin Zhang and a group of colleagues (see below for author details) explore critical batch size (CBS)—the threshold at which data parallelism, which distributes training data across multiple processors, stops yielding significant returns from […]
