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One Hundred Year Study on Artificial Intelligence (AI100)
One Hundred Year Study on Artificial Intelligence (AI100)
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About
History
IJCAI 2015
People
Past AI100 Officers
Framing
2021 Report
Preface
Participants
Acknowledgements
Introduction
Standing Questions and Responses
SQ1. What are some examples of pictures that reflect important progress in AI and its influences?
SQ2. What are the most important advances in AI?
Underlying Technologies
Language Processing
Computer Vision and Image Processing
Games
Robotics
Mobility
Health
Finance
Recommender Systems
SQ3. What are the most inspiring open grand challenge problems?
Turing Test
RoboCup
International Math Olympiad
The AI Scientist
Broader Challenges
SQ4. How much have we progressed in understanding the key mysteries of human intelligence?
Collective Intelligence
Cognitive Neuroscience
Computational Modeling
The State of the Art
SQ5. What are the prospects for more general artificial intelligence?
Self-Supervised Learning With the Transformer Architecture
Making Deep Reinforcement Learning More General
Making Deep Reinforcement Learning More General
Common Sense
SQ6. How has public sentiment towards AI evolved, and how should we inform/educate the public?
Primary Drivers of Public Understanding and Sentiment
Improving and Widening Public Understanding of AI: Where Do We Go From Here?
SQ7. How should governments act to ensure AI is developed and used responsibly?
Law, Policy, and Regulation
AI Research & Development as a Policy Priority
Cooperation and Coordination on International Policy
Case Study: Lethal Autonomous Weapons
From Principles to Practice
Dynamic Regulation, Experimentation, and Testing
SQ8. What should the roles of academia and industry be, respectively, in the development and deployment of AI technologies and the study of the impacts of AI?
Research and Innovation
Research into Societal and Ethical Issues
Development and Deployment
Education and Training
Societal Impact: Monitoring and Oversight
SQ9. What are the most promising opportunities for AI?
AI for Augmentation
AI Agents on Their Own
SQ10. What are the most pressing dangers of AI?
Techno-Solutionism
Dangers of Adopting a Statistical Perspective on Justice
Disinformation and Threat to Democracy
Discrimination and Risk in the Medical Setting
SQ11. How has AI impacted socioeconomic relationships?
The Story So Far
AI and Inequality
Localized Impact
How the Pie Is Sliced
Market Power
The Future
SQ12. Does it appear “building in how we think” works as an engineering strategy in the long run?
Workshop Questions and Responses
WQ1. How are AI-driven predictions made in high-stakes public contexts, and what social, organizational, and practical considerations must policymakers consider in their implementation and governance?
WQ2. What are the most pressing challenges and significant opportunities in the use of artificial intelligence to provide physical and emotional care to people in need?
Conclusions
Annotations on the 2016 Report
Preface (Annotated)
Executive Summary (Annotated)
Overview (Annotated)
What’s Next for AI Research? (Annotated)
AI Policy, Now and in the Future (Annotated)
Section I: What is Artificial Intelligence? (Annotated)
Defining AI (Annotated)
The Human Measure (Annotated)
An Operational Definition (Annotated)
AI Research Trends (Annotated)
Overall Trends and the Future of AI Research (Annotated)
Section II: AI by Domain (Annotated)
Transportation (Annotated)
Smarter Cars (Annotated)
Self-driving Vehicles (Annotated)
Transportation Planning (Annotated)
On-demand Transportation (Annotated)
Interacting with People (Annotated)
Home/Service Robots (Annotated)
Vacuum Cleaners (Annotated)
Home Robots 2030 (Annotated)
Healthcare (Annotated)
The Clinical Setting (Annotated)
Healthcare Analytics (Annotated)
Healthcare Robotics (Annotated)
Mobile Health (Annotated)
Elder Care (Annotated)
Education (Annotated)
Teaching Robots (Annotated)
Intelligent Tutoring Systems and Online Learning (Annotated)
Learning Analytics (Annotated)
Challenges and Opportunities (Annotated)
Broader Societal Consequences (Annotated)
Low-resource Communities (Annotated)
Public Safety and Security (Annotated)
Employment and Workplace (Annotated)
Entertainment (Annotated)
Imagining the Future (Annotated)
Section III: Prospects and Recommendations for Public Policy (Annotated)
AI Policy, Now and in the Future (Annotated)
Policy and Legal Considerations (Annotated)
Guidelines for the Future (Annotated)
Appendix I: A Short History of AI (Annotated)
2016 Report
Preface
Participants
Acknowledgements
Executive Summary
Overview
What’s Next for AI Research?
AI Policy, Now and in the Future
Section I: What is Artificial Intelligence?
Defining AI
The Human Measure
An Operational Definition
AI Research Trends
Overall Trends and the Future of AI Research
Section II: AI by Domain
Transportation
Smarter Cars
Self-driving Vehicles
Transportation Planning
On-demand Transportation
Interacting with People
Home/Service Robots
Vacuum Cleaners
Home Robots 2030
Healthcare
The Clinical Setting
Healthcare Analytics
Healthcare Robotics
Mobile Health
Elder Care
Education
Teaching Robots
Intelligent Tutoring Systems and Online Learning
Learning Analytics
Challenges and Opportunities
Broader Societal Consequences
Low-resource Communities
Public Safety and Security
Employment and Workplace
Entertainment
Imagining the Future
Section III: Prospects and Recommendations for Public Policy
AI Policy, Now and in the Future
Policy and Legal Considerations
Guidelines for the Future
Appendix I: A Short History of AI
Annotations on the 2016 Report
AI100 Competition
AI Index
Related Publications & Seminars
Press Coverage
Publications
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