AI100 Study Panel Report 2016
Abstract/Contents
- Abstract
The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society. It considers the science, engineering, and deployment of AI-enabled computing systems. As its core activity, the Standing Committee that oversees the One Hundred Year Study forms a Study Panel every five years to assess the current state of AI. The Study Panel reviews AI’s progress in the years following the immediately prior report, envisions the potential advances that lie ahead, and describes the technical and societal challenges and opportunities these advances raise, including in such arenas as ethics, economics, and the design of systems compatible with human cognition. The overarching purpose of the One Hundred Year Study’s periodic expert review is to provide a collected and connected set of reflections about AI and its influences as the field advances. The studies are expected to develop syntheses and assessments that provide expert-informed guidance for directions in
AI research, development, and systems design, as well as programs and policies to help ensure that these systems broadly benefit individuals and society.1
Description
Type of resource | text |
---|---|
Date created | September 2016 |
Creators/Contributors
Author | Stone, Peter |
---|---|
Author | Members of the 2015-2016 Study Panel (in report) |
Subjects
Subject | AI100 |
---|---|
Subject | artificial intelligence and society |
Subject | study panel report |
Subject | AI |
Subject | artificial intelligence |
Subject | 2016 report |
Genre | Technical report |
Bibliographic information
Related item |
|
---|---|
Location | https://purl.stanford.edu/mv224vw0160 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution No Derivatives 3.0 Unported license (CC BY-ND).
Preferred citation
- Preferred Citation
- Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA, September 2016. Doc: http://ai100.stanford.edu/2016-report. Accessed: September 6, 2016. https://purl.stanford.edu/mv224vw0160
Collection
The One Hundred Year Study of Artificial Intelligence (AI100)
Contact information
- Contact
- russ.altman@stanford.edu
Loading usage metrics...