Social Implications of Artificial Intelligence

The Moral Psychology of Artificial Intelligence

JEAN-FRANÇOIS BONNEFON, IYAD RAHWAN, and AZIM SHARIFF, Annual Review of Psychology

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective

yan gao, teena sharma, and YAN CUI, Annual Review of Biomedical Data Science

On the Timescales of Embodied Intelligence for Autonomous Adaptive Systems

Fumiya Iida and Fabio Giardina, Annual Review of Control, Robotics, and Autonomous Systems

Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing

Qingyu Chen, Robert Leaman, Alexis Allot, Ling Luo, Chih-Hsuan Wei, Shankai Yan, and Zhiyong Lu, Annual Review of Biomedical Data Science

Machine Learning for Social Science: An Agnostic Approach

Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart, Annual Review of Political Science

Syntactic Structure from Deep Learning

Tal Linzen and Marco Baroni, Annual Review of Linguistics

The Society of Algorithms

Jenna Burrell and Marion Fourcade, Annual Review of Sociology

Big Data in Industrial-Organizational Psychology and Human Resource Management: Forward Progress for Organizational Research and Practice

Frederick L. Oswald, Tara S. Behrend, Dan J. Putka, and Evan Sinar, Annual Review of Organizational Psychology and Organizational Behavior

The Challenge of Big Data and Data Science

Henry E. Brady, Annual Review of Political Science

Machine Learning Methods That Economists Should Know About

Susan Athey and Guido W. Imbens, Annual Review of Economics

Law Enforcement and Human Rights:

AI and Global Governance: Modalities, Rationales, Tensions

Michael Veale, Kira Matus, and Robert Gorwa, Annual Review of Criminology

Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement

Richard A. Berk, Annual Review of Criminology

Tool for Surveillance or Spotlight on Inequality? Big Data and the Law

Rebecca A. Johnson and Tanina Rostain, Annual Review of Law and Social Science

Human Rights and Technology: New Challenges for Justice and Accountability

Molly K. Land and Jay D. Aronson, Annual Review of Law and Social Science

Do Emerging Military Technologies Matter for International Politics?

Michael C. Horowitz, Annual Review of Political Science

Medical Applications of AI:

Artificial Intelligence for Drug Discovery: Are We There Yet?

CATRIN HASSELGREN and TUDOR I. OPREA, Annual Review of Pharmacology and Toxicology

Toward Explainable Artificial Intelligence for Precision Pathology

FREDERICK KLAUSCHEN, JONAS DIPPEL, PHILIPP KEYL, PHILIPP JURMEISTER, MICHAEL BOCKMAYR, ANDREAS MOCK, OLIVER BUCHSTAB, MAXIMILIAN ALBER, LUKAS RUFF, GRÉGOIRE MONTAVON, and KLAUS-ROBERT MÜLLER, Annual Review of Pathology: Mechanisms of Disease

Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities

SIDHARTH PANCHOLI, JUAN P. WACHS, and BRADLEY S. DUERSTOCK, Annual Review of Biomedical Engineering

Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care

JENNA WIENS, KAYTE SPECTOR-BAGDADY, and BHRAMAR MUKHERJEE, Annual Review of Genomics and Human Genetics

Ethical Machine Learning in Healthcare

Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, and Marzyeh Ghassemi, Annual Review of Biomedical Data Science

Modern Clinical Text Mining: A Guide and Review

Bethany Percha, Annual Review of Biomedial Data Science

AI in Measurement Science

Chao Liu and Jiashu Sun, Annual Review of Analytical Chemistry

Artificial Intelligence in Drug Treatment

Eden L. Romm and Igor F. Tsigelny, Annual Review of Pharmacology and Toxicology

Big Data and Artificial Intelligence Modeling for Drug Discovery

Hao Zhu, Annual Review of Pharmacology and Toxicology

Large-Scale Analysis of Genetic and Clinical Patient Data

Marylyn D. Ritchie, Annual Review of Biomedical Data Science

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing

Nikolaus Kriegeskorte, Annual Review of Vision Science

Autonomous Systems and Robotics

Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives

YUAN BI,  ZHONGLIANG JIANG, FELIX DUELMER, DIANYE HUANG, and NASSIR NAVAB, Annual Review of Control, Robotics, and Autonomous Systems

Instinctive Negotiation by Autonomous Agents in Dense Unstructured Traffic: A Controls Perspective

MRDJAN JANKOVIC, Annual Review of Control, Robotics, and Autonomous Systems

Economics of the Adoption of Artificial Intelligence–Based Digital Technologies in Agriculture

MADHU KHANNA, SHADY S. ATALLAH, THOMAS HECKELEI, LINGHUI WU, and HUGO STORM, Annual Review of Resource Economics

Into the Robotic Depths: Analysis and Insights from the DARPA Subterranean Challenge

Timothy H. Chung, Viktor Orekhov, and Angela Maio, Annual Review of Control, Robotics, and Autonomous Systems

Increasingly Intelligent Micromachines

Tian-Yun Huang, Nongri Gu, and Bradley J. Nelson, Annual Review of Control, Robotics, and Autonomous Systems

Autonomy in Surgical Robotics

Aleks Attanasio, Bruno Scaglioni, Elena De Momi, Paolo Fiorini, and Pietro Valdastri, Annual Review of Control, Robotics, and Autonomous Systems

Autonomous Vehicles and Public Health

David Rojas-Rueda, Mark J. Nieuwenhuijsen, Haneen Khreis, and Howard Frumkin, Annual Review of Public Health

Learning-Based Model Predictive Control: Toward Safe Learning in Control

Lukas Hewing, Kim P. Wabersich, Marcel Menner, and Melanie N. Zeilinger, Annual Review of Control, Robotics, and Autonomous Systems

Data-Driven Predictive Control for Autonomous Systems

Ugo Rosolia, Xiaojing Zhang, and Francesco Borrelli, Annual Review of Control, Robotics, and Autonomous Systems

Autonomy in Rehabilitation Robotics: An Intersection

Brenna D. Argall, Annual Review of Control, Robotics, and Autonomous Systems