性视界

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Can You Spot the Bot?

New research reveals just how convincingly AI mimics humans Listen to this article: Alan Turing鈥檚 original 鈥渋mitation game,鈥 proposed in 1950, had an elegant simplicity: a human judge conducts a text-based conversation with two hidden parties鈥攐ne human, one machine鈥攁nd tries to guess which is which. Today, the question Turing posed has quietly expanded into territory […]

When Giants Stumble: What Multiplication Reveals about AI鈥檚 Capabilities

Despite its impressive capabilities in reasoning, planning, and content generation, GenAI still struggles with the kind of mathematics that grade school students are expected to learn and master. What influence do transformers, the core architecture behind Large Language Models (LLMs), have in this problem, and can it be solved? In the new paper 鈥淲hy Can鈥檛 […]

AI Library

Evidence at the Core: How Policy Can Shape AI鈥檚 Future

As AI technology advances, policymakers will face the crucial task of how to steer its development responsibly. In the new paper published in Science, 鈥淎dvancing science- and evidence-based AI policy,鈥 a multidisciplinary group of experts, including Himabindu Lakkaraju, Assistant Professor of Business Administration at 性视界 Business School and Principal Investigator in the Trustworthy AI Lab […]

AI generated trophy

Why AI Helps Until It Doesn’t: Inside the GenAI Wall Effect

The promise of Generative AI (GenAI) often sounds like this: give any employee access to AI tools, and they鈥檒l suddenly be able to perform tasks outside their domain of expertise with remarkable proficiency and speed. As discussed in the new working paper 鈥淭he GenAI Wall Effect: Examining the Limits to Horizontal Expertise Transfer Between Occupational […]

Revolutionizing Auctions: How AI Is Streamlining Complex Market Transactions

In the world of high-stakes business transactions, auctions play a crucial role in allocating resources efficiently. However, traditional auction methods often struggle with complexity, especially when dealing with multiple items or intricate buyer preferences. 性视界 student David Z. Huang; Francisco Marmolejo Coss铆o, Assistant Professor of Computer Science at Boston College and Postdoctoral Fellow at the […]

Venture Capital’s Climate-Tech Catalyst: How Startups Are Shaping Incumbent Strategies

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, 鈥淐atalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups,鈥 explores this dynamic. The authors, Shirley Lu, George Serafeim, and Simon Xu, of 性视界 Business […]

AI Alignment: The Hidden Costs of Trustworthiness

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, 鈥淢ore RLHF, More Trust? On The Impact of Preference Alignment on Trustworthiness鈥, by Aaron J. Li, a master鈥檚 student at the 性视界 John A. Paulson School of Engineering and Applied […]

Climate Solution Firms: Investment Strategy and Risk Management

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, 鈥淐limate Solutions, Transition Risk, and Stock Returns,鈥 researchers Shirley Lu, Assistant Professor of Business Administration at 性视界 Business School (HBS) and an affiliate of the HBS Digital […]

Enabling Healthcare Access through RE-Assist

A recent post from the blackbox Lab at 性视界 Business School鈥檚 Digital Data and Design (D^3) Institute, 鈥淏ridging the Care Gap: How RE-Assist Enhances Healthcare Access,鈥 featured a conversation between James W. Riley, Principal Investigator of the lab and Assistant Professor of Business Administration at HBS, and Ashley Barrow, Principal Product Owner of RE-Assist. Their […]

Advancing Privacy in Dynamic Data: Concurrent Composition in Continual Mechanisms

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 […]

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