Annual Reviews November Article Collection

AI, Machine Learning, and Society

NOVEMBER 2021

Download 23 Reviews on AI and Machine Learning

"Social scientists are now in an era of data abundance, and machine learning tools are increasingly used to extract meaning from data sets both massive and small."
– Justin Grimmer et al., Annual Review of Political Science, 2021

Artificial intelligence (AI) is now part of everyday society. From smartphones to smart cars to smart speakers, new technology has been rapidly adopted. But what powers the "smart" in these devices? While superior computing capabilities and the reduced cost of technology has made AI accessible at scale, what are the long-term implications? Widespread applications of both AI and machine learning have provoked new ethical and safety considerations for society.

Annual Reviews has curated a new review article collection to explore the impact AI and machine learning have already had on modern life, and how society might confront related challenges, opportunities, and consequences in the future. In this interdisciplinary collection, our experts discuss four key areas significantly influenced by AI, including:

  • Social Implications of Artificial Intelligence
  • Law Enforcement and Human Rights
  • Medical Applications of Big Data
  • Autonomous Systems and Robotics

Our AI, Machine Learning, and Society collection of 23 review articles from 13 Annual Reviews journals is freely available to download and share with colleagues and students through December 31, 2021 and is always available through subscribing institutions.

Get the Articles!

 

 


Articles in this collection include:

Social Implications of Artificial Intelligence

Law Enforcement and Human Rights

Medical Applications of Big Data

Autonomous Systems and Robotics

Download All Articles

 

 

Annual Reviews is a nonprofit publisher dedicated to synthesizing and integrating knowledge for the progress of science and the benefit of society. We first published the Annual Review of Biochemistry in 1932 to address the persistent challenge of scientific information overload. Today we publish Annual Review journals for 51 disciplines. Our Editorial Committees are comprised of leaders in their fields who invite expert authors to contribute a synthesis of scientific literature on timely topics and trends.



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