Collaborating Authors

The AI Index 2021 Annual Report Artificial Intelligence

Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.

A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence Artificial Intelligence

The potential for advances in information-age technologies to undermine nuclear deterrence and influence the potential for nuclear escalation represents a critical question for international politics. One challenge is that uncertainty about the trajectory of technologies such as autonomous systems and artificial intelligence (AI) makes assessments difficult. This paper evaluates the relative impact of autonomous systems and artificial intelligence in three areas: nuclear command and control, nuclear delivery platforms and vehicles, and conventional applications of autonomous systems with consequences for nuclear stability. We argue that countries may be more likely to use risky forms of autonomy when they fear that their second-strike capabilities will be undermined. Additionally, the potential deployment of uninhabited, autonomous nuclear delivery platforms and vehicles could raise the prospect for accidents and miscalculation. Conventional military applications of autonomous systems could simultaneously influence nuclear force postures and first-strike stability in previously unanticipated ways. In particular, the need to fight at machine speed and the cognitive risk introduced by automation bias could increase the risk of unintended escalation. Finally, used properly, there should be many applications of more autonomous systems in nuclear operations that can increase reliability, reduce the risk of accidents, and buy more time for decision-makers in a crisis.

Germany warns: AI arms race already underway


An AI arms race is already underway. That's the reality we have to deal with," Maas told DW, speaking in a new DW documentary, "Future Wars -- and How to Prevent Them." "This is a race that cuts across the military and the civilian fields," said Amandeep Singh Gill, former chair of the United Nations group of governmental experts on lethal autonomous weapons. "This is a multi-trillion dollar question." This is apparent in a recent report from the United States' National Security Commission on Artificial Intelligence. It speaks of a "new warfighting paradigm" pitting "algorithms against algorithms," and urges massive investments "to continuously out-innovate potential adversaries." And you can see it in China's latest five-year plan, which places AI at the center of a relentless ramp-up in research and development, while the People's Liberation Army girds for a future of what it calls "intelligentized warfare." As Russian President Vladimir Putin put it as early as 2017, "whoever ...

Artificial Intelligence and Robotics Artificial Intelligence

The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities. Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government agencies. The global AI market is around 260 billion USD in 2016 and it is estimated to exceed 3 trillion by 2024. To understand the impact of AI, it is important to draw lessons from it's past successes and failures and this white paper provides a comprehensive explanation of the evolution of AI, its current status and future directions.