The rapid expansion of generative artificial intelligence (Gen-AI) is propelled by its perceived benefits, significant advancements in computing efficiency, corporate consolidation of artificial intelligence innovation and capability, and limited regulatory oversight . . .| An MIT Exploration of Generative AI
While the societal impact of large language models (LLMs) is undoubtedly immense, the impact for scientific research in the cognitive science of language is less obvious.| An MIT Exploration of Generative AI
The transformative potential of generative artificial intelligence (AI) in creative society demands a nuanced approach to address its potential impacts on creators. Our first project aims to understand the preferences of different creators to have their work receive attribution.| An MIT Exploration of Generative AI
An exploration of potential uses of artificial intelligence in live music performances: necessary implementation features for musicians and audiences, its virtuosic properties, and a new form of virtuosity arising from novel creative processes.| An MIT Exploration of Generative AI
The incredible diversity of visual systems in the animal kingdom is a result of millions of years of coevolution between eyes and brains, adapting to process visual information efficiently in different environments. We introduce the generative design of visual intelligence . . .| An MIT Exploration of Generative AI
This impact paper presents a vision for the integration of generative AI into the physical sciences, emphasizing the critical role of interdisciplinary collaboration and educational initiatives to fully harness the benefits of this intersection.| An MIT Exploration of Generative AI
End-to-end security and privacy are increasingly urgent as generative AI is deployed in organizations and integrated into our daily lives. Many partial solutions exist across the research and practice landscape, yet none provide an end-to-end solution for generative AI.| An MIT Exploration of Generative AI
Intricate historic interweaving of textile manufacturing and digital technologies opens unlimited transformational opportunities at the dawn of the new ear of artificial intelligence. . .| An MIT Exploration of Generative AI
Self-reflection during maker activities is known to enhance conceptual comprehension and lead to better skill learning. While educational makerspaces commonly leverage reflective exercises guided by instructors, this practice often goes amiss in scenarios when makers . . .| An MIT Exploration of Generative AI
The increase in life expectancy worldwide is a global success story, but along with reduced birth rates, it has resulted in a growing population of older adults and relatively fewer young adults available to provide care. Over 10% of the world’s population is over 65; by 2050...| An MIT Exploration of Generative AI
Generative AI (GenAI) is rapidly emerging as a powerful new platform for software development—a foundational technology enabling a wide variety of applications, like past platforms such as computers, smartphones, and cloud services. Major players include producers of large . . .| An MIT Exploration of Generative AI
Successful integration of generative AI for civic engagement must be powered by people who use their judgment to validate outputs, mitigate potential errors, contextualize results, and build trust between the government and the community.| An MIT Exploration of Generative AI
With recent leaps in the accessibility and capabilities of generative artificial intelligence (GenAI), we believe it is time for college instructors and professional trainers to take seriously the possible uses of GenAI-enabled teaching tools. As instructors in multiparty . . .| An MIT Exploration of Generative AI
The objective of this whitepaper is to identify opportunities, issues, and challenges facing equitable education pathways for careers in computing and the particular role that generative artificial intelligence (AI) could play to support postsecondary education at minority . . .| An MIT Exploration of Generative AI
A philosophical investigation into the value of algorithmically generated fictions, as compared with human-authored fictions.| An MIT Exploration of Generative AI
Generative AI programs have had a great impact on the visual arts. Examining earlier moments of technological shock with once radical media such as photography, the authors suggest that training sets and models must become transparent and inclusive to become a public good.| An MIT Exploration of Generative AI
There has been widespread optimism that artificial intelligence (AI) applications can transform medical care, improving patient treatment and reducing administrative burdens for hospitals and clinicians . . .| An MIT Exploration of Generative AI
The progress in generative AI, particularly large language models (LLMs), opens new prospects in design and manufacturing. Our research explores the use of these tools throughout the entire design and manufacturing workflow. We assess the capabilities of LLMs in various . . .| An MIT Exploration of Generative AI
By studying Nature’s biological materials and their impressive multifunctional properties and structures, we can better understand how to develop sustainable material ecosystems. This urgent mission can be accelerated and assisted with scientific generative AI tools.| An MIT Exploration of Generative AI
We are providing a preview of a project that analyzes two field experiments with 1,974 software developers at Microsoft and Accenture to evaluate the productivity impact of Generative AI. As part of our study, a random subset of developers was given . . .| An MIT Exploration of Generative AI
We identify some of the most pressing issues facing the adoption of large language models (LLMs) in practical settings and propose a research agenda to reach the next technological inflection point in generative AI . . .| An MIT Exploration of Generative AI
Will new technology consign human workers to the garbage dump of history? Prior waves of concern over technological mass unemployment have typically come during periods of, well, mass unemployment. During the depths of the Great Depression, manufacturing automation . . .| An MIT Exploration of Generative AI
In the mid-2010s, as computing and other digital technologies matured (Brynjolfsson and McAfee 2014), researchers began to speculate about a new era of innovation—with artificial intelligence (AI) as the standard-bearer of a “Fourth Industrial Revolution” (Schwab 2015) . . .| An MIT Exploration of Generative AI
GenAI may enable computers to create drugs or sustainable materials. But impact in chemistry happens further downstream, following synthesis, testing, and scale-up. We propose paths for closing this execution gap and creating powerful, safe AIs that can realize novel chemicals.| An MIT Exploration of Generative AI
The rapid expansion of generative artificial intelligence (Gen-AI) is propelled by its perceived benefits, significant advancements in computing efficiency, corporate consolidation of artificial intelligence innovation and capability, and limited regulatory oversight . . .| An MIT Exploration of Generative AI
Labeling is a commonly proposed strategy for reducing the risks of generative artificial intelligence (AI). This approach involves applying visible content warnings to alert users to the presence of AI-generated media online (e.g., on social media, news sites, or search . . .| An MIT Exploration of Generative AI
We are providing a preview of a project that analyzes two field experiments with 1,974 software developers at Microsoft and Accenture to evaluate the productivity impact of Generative AI. As part of our study, a random subset of developers was given . . .| An MIT Exploration of Generative AI