Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to mitigate associated risks, while also seeking opportunities to apply the technologies to help with preexisting social concerns. “I ultimately want my research to push towards…
Many organizations have experimented with AI, but they haven’t always gotten the full value from their investments. A host of issues standing in the way center on the accuracy, fairness, and security of AI systems. In response, organizations are actively exploring the principles of responsible AI: the idea that AI systems must be fair, transparent, and…
OpenAI spent $1.76 million on lobbying in 2024 and $510,000 in the last three months of the year alone, according to a new disclosure filed on Tuesday—a significant jump from 2023 when the company disclosed just $260,000 spent on Capitol Hill. The company also disclosed a new in-house lobbyist, Meghan Dorn, who worked for five…
Artificial intelligence has become vital in business and financial dealings, medical care, technology development, research, and much more. Without realizing it, consumers rely on AI when they stream a video, do online banking, or perform an online search. Behind these capabilities are more than 10,000 data centers globally, each one a huge warehouse containing thousands…
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) don’t deliver the reliability needed for production systems.The prompt-and-pray model—where business logic lives entirely in prompts—creates systems that are unreliable, inefficient, and impossible to maintain at scale.A shift toward structured automation, which separates conversational ability from business logic execution, is needed…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Peering into the body to find and diagnose cancer is all about spotting patterns. Radiologists use x-rays and magnetic resonance imaging to illuminate tumors, and pathologists examine tissue from kidneys, livers,…
Ask people building generative AI what generative AI is good for right now—what they’re really fired up about—and many will tell you: coding. “That’s something that’s been very exciting for developers,” Jared Kaplan, chief scientist at Anthropic, told MIT Technology Review this month: “It’s really understanding what’s wrong with code, debugging it.” Copilot, a tool…
In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and other impacts. The excitement surrounding potential benefits of generative AI, from improving worker productivity to advancing scientific…
Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to mitigate associated risks, while also seeking opportunities to apply the technologies to help with preexisting social concerns. “I ultimately want my research to push towards…
In the world of high-priced art, galleries usually act as gatekeepers. Their selective curation process is a key reason galleries in major cities often feature work from the same batch of artists. The system limits opportunities for emerging artists and leaves great art undiscovered. NALA was founded by Benjamin Gulak ’22 to disrupt the gallery…