[Paper Review] Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Peter Stone, Rodney A. Brooks+15 more|arXiv (Cornell University)|Oct 31, 2022

Ethics and Social Impacts of AI153 citations

TL;DR

A comprehensive 2022 arXiv version of the AI100 report summarizing eight urban domains where AI may impact society by 2030, with aims to inform public decisions, policy, and research.

ABSTRACT

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written by a panel of 17 study authors, each of whom is deeply rooted in AI research, chaired by Peter Stone of the University of Texas at Austin. The report, entitled "Artificial Intelligence and Life in 2030," examines eight domains of typical urban settings on which AI is likely to have impact over the coming years: transportation, home and service robots, healthcare, education, public safety and security, low-resource communities, employment and workplace, and entertainment. It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI and its potential and to help guide decisions in industry and governments, as well as to inform research and development in the field. The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.

Motivation & Objective

• Provide a scientifically grounded portrait of the current state of AI and its potential impacts.
• Identify eight urban domains where AI is likely to influence daily life in the near term.
• Inform industry, government, and research directions to guide responsible AI development.

Proposed method

• Structured expert assessment across eight domains of urban life.
• Synthesis of current AI capabilities, challenges, and potential trajectories.
• Guidance for policymakers and researchers on decision-making and prioritization.

Experimental results

Research questions

• RQ1 What are the domains where AI is likely to impact urban life in the near future?
• RQ2 What are the current capabilities, limitations, and risks of AI in each domain?
• RQ3 How should policymakers and researchers prioritize AI development and governance across domains?
• RQ4 What information should be communicated to the public about AI’s potential impacts by 2030?

Key findings

• AI is expected to influence transportation, home and service robots, healthcare, education, public safety and security, low-resource communities, employment and workplace, and entertainment.
• The report aims to provide an accurate portrayal of AI’s state and potential to guide decisions in industry, governments, and research.
• The study is designed to inform decision-making, research directions, and responsible AI development.