A 20-Year Community Roadmap for Artificial Intelligence Research in the US

TL;DR

This paper presents a comprehensive 20-year roadmap for AI research in the US, highlighting past achievements, current challenges, and future directions to ensure AI's responsible and effective development.

Contribution

It provides a strategic community-driven plan outlining research priorities, challenges, and investments needed for AI's responsible growth over the next two decades.

Findings

AI has generated a trillion-dollar industry with diverse applications.

Future AI must be fair, explainable, trustworthy, and secure.

Significant investment and transformation are required for AI's full potential.

Abstract

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.