189 citations · 254 across the 6 of their papers we have counts for
6 papers
Knowing When to Ask -- Bridging Large Language Models and Data
Prashanth Radhakrishnan, Jennifer Chen, Bo Xu +5
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. I…
AI in Action: Accelerating Progress Towards the Sustainable Development Goals
Brigitte Hoyer Gosselink, Kate Brandt, Marian Croak +8
Advances in Artificial Intelligence (AI) are helping tackle a growing number of societal challenges, demonstrating technology's increasing capability to address complex issues, inc…
The Ethics of Advanced AI Assistants
Iason Gabriel, Arianna Manzini, Geoff Keeling +54
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural langu…
AI and the Opportunity for Shared Prosperity: Lessons from the History of Technology and the Economy
Guy Ben-Ishai, Jeff Dean, James Manyika +3
Recent progress in artificial intelligence (AI) marks a pivotal moment in human history. It presents the opportunity for machines to learn, adapt, and perform tasks that have the p…
Artificial Intelligence Index Report 2023
Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson +11
Welcome to the sixth edition of the AI Index Report. This year, the report introduces more original data than any previous edition, including a new chapter on AI public opinion, a…
Data Commons
Ramanathan V. Guha, Prashanth Radhakrishnan, Bo Xu +10
Publicly available data from open sources (e.g., United States Census Bureau (Census), World Health Organization (WHO), Intergovernmental Panel on Climate Change (IPCC)) are vital…