This community of practice elevates participants’ comprehension of performance measurement and metrics within the realm of business. Here, academic luminaries and industry experts converge to scrutinize the latest methodologies, tools, and best practices in quantifying success and driving strategic decision-making. Participants immerse themselves in the realms of experimentation, data analytics, and benchmarking to unearth profound insights that catalyze enhanced organizational and financial performance. Together, they explore how to advance and harness the formidable power of data-driven decision-making, elevating businesses to new echelons of excellence.
One of AI agents’ most powerful tools is memory: the ability to learn from the past, adapt to new situations, and improve over time. But as organizations and professionals increasingly deploy AI agents for complex and long-term tasks, an important question emerges: how can we ensure that these systems learn from experience without getting trapped […]
As Gen AI technology continues to rapidly evolve and LLMs are integrated into more and more applications, questions of trustworthiness and ethical alignment become increasingly crucial. In the recent study “Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models,” authors Martin Pawelczyk, postdoctoral researcher at Harvard working on trustworthy AI; Lillian Sun, undergraduate student at Harvard studying […]
As businesses grapple with an ever-growing volume of ideas, products, and solutions to evaluate, decision-making processes are being reshaped by artificial intelligence (AI). Generative AI, in particular, has emerged as a game-changer in creative problem-solving and evaluation, as demonstrated by a recent field experiment described in the working paper “The Narrative AI Advantage? A Field […]
As large language model (LLM) systems grow in complexity, the challenge of ensuring their outputs align with human intentions has become critical. Interpretability—the ability to explain how models reach their decisions—and control—the ability to steer them toward desired outcomes—are two sides of the same coin. “Towards Unifying Interpretability and Control: Evaluation via Intervention”—research by Usha […]
