Reflections on Successful Research in Artificial Intelligence: An Introduction

AI Magazine ◽  
2019 ◽  
Vol 40 (4) ◽  
pp. 3-5
Author(s):  
Ching-Hua Chen ◽  
James Hendler ◽  
Sabbir Rashid ◽  
Oshani Seneviratne ◽  
Daby Sow ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
General Public ◽  
Full Length ◽  
Editorial Team ◽  
Special Topic

This editorial introduces the special topic articles on reflections on successful research in artificial intelligence. Consisting of a combination of interviews and full-length articles, the special topic articles examine the meaning of success and metrics of success from a variety of perspectives. Our editorial team is especially excited about this topic, because we are in an era when several of the aspirations of early artificial intelligence researchers and futurists seem to be within reach of the general public. This has spurred us to reflect on, and re-examine, our social and scientific motivations for promoting the use of artificial intelligence in governments, enterprises, and in our lives.

scholarly journals Artificial Intelligence in Health Informatics: Hype or Reality?

2019 ◽  
Vol 28 (01) ◽  
pp. 003-004 ◽  
Author(s):  
Kate Fultz Hollis ◽  
Lina F. Soualmia ◽  
Brigitte Séroussi
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Expert Knowledge ◽  
Improve Patient Care ◽  
Health Data ◽  
Machine Learning Algorithms ◽  
Data Availability ◽  
Data Driven ◽  
Editorial Team ◽  
Special Topic

Objectives: To provide an introduction to the 2019 International Medical Informatics Association (IMIA) Yearbook by the editors. Methods: This editorial presents an overview and introduction to the 2019 IMIA Yearbook which includes the special topic “Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications". The special topic is discussed, the IMIA President’s statement is introduced, and changes in the Yearbook editorial team are described. Results: Artificial intelligence (AI) in Medicine arose in the 1970’s from new approaches for representing expert knowledge with computers. Since then, AI in medicine has gradually evolved toward essentially data-driven approaches with great results in image analysis. However, data integration, storage, and management still present clear challenges among which the lack of explanability of the results produced by data-driven AI methods. Conclusion: With more health data availability, and the recent developments of efficient and improved machine learning algorithms, there is a renewed interest for AI in medicine.The objective is to help health professionals improve patient care while also reduce costs. However, the other costs of AI, including ethical issues when processing personal health data by algorithms, should be included.

scholarly journals How Artificial Intelligence and Machine Learning can Assist in Collections Curation

2019 ◽  
Vol 3 ◽  
Author(s):  
Simon Checksfield
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
General Public ◽  
Intrinsic Value ◽  
Industry Research ◽  
Research Organisation ◽  
The World ◽  
Genetic Barcoding ◽  
The Impact

With increasing pressure on the limited taxonomical expertise in not only Commonwealth Scientific and Industry Research Organisation (CSIRO) but the world, new and innovative ways need to be found to assist in the curation and identification of biological specimens. CSIRO, through the National Research Collections Australia (NRCA) and Data 61 is hoping to begin a new program of work focused on using Artificial Intelligence (AI) and Machine Learning to build a framework and tools that can help identify a specimen from an image. The framework will include AI models that have been trained by expert taxonomists, thus providing a level of accuracy that has some intrinsic value. NRCA is also exploring how AI could be linked or cross referenced with another initiative using rapid genetic barcoding to identify all newly collected specimens. Combining genetic and AI determinations will add weight to each, and potentially expose some new AI challenges, such as identifying morphological elements against genomic elements. Whilst acknowledging challenges still exist regarding standards, acceptance of identification, provenance, accuracy and governance, the NRCA is hoping AI can assist in freeing the time of our researchers and technicians to work on more pressing and complex issues by reducing their time spent on basic identification. The impact of such a program will also reach into industry and the general public through tools based on the AI models. There is also an opportunity to use this initiative to create global centers of taxonomic expertise, which anyone can use to help identify a specimen.

scholarly journals Two Workshops, a Report, and a 100-Year Study of AI and Society

AI Magazine ◽  
2020 ◽  
Vol 41 (2) ◽  
pp. 93-95
Author(s):  
Lara Streiff
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
General Public ◽  
Critical Studies ◽  
Human Element ◽  
Personal Connections ◽  
Scientists And Engineers ◽  
Societal Impacts ◽  
Personal Assistants

A 100-year-long study of artificial intelligence — known as the AI100 — is now working toward its second report to reflect on, and predict, the societal impacts of AI technologies. When the project was launched in 2014, an interdisciplinary group of experts gathered to assess the effects AI has on its users and their communities, as well as the technology itself. The first report titled Artificial Intelligence and Life in 2030 is a reference for those in government and industry, as well as for the general public, on how to interact with AI. It covers eight sectors spanning from transportation and healthcare to entertainment. As we enter the next decade, a second report looms on the horizon. This follow-up report presents an opportunity to reflect on the booming changes to the industry and resultant impacts on society since the first study findings were released. While maintaining a level of continuity, this next report is expected to aim a broader lens on the influences of these technologies worldwide. It will also explore human-centric applications in greater depth, to touch upon the personal connections between individuals and AI technologies.The human element is increasingly important as interactions with artificial intelligence expand through applications like autonomous vehicles, increasingly capable search engines, and electronic personal assistants. Debating ethics, purpose, intention, and deployment of these technologies will remain an ongoing challenge for this study. To reflect these realities, the committee is expected to include scholars from disciplines such as philosophy, anthropology, sociology, and critical studies in addition to AI scientists and engineers.

scholarly journals Chinese Government Guidance Funds: A Guide for the Perplexed

2021 ◽  
Author(s):  
Ngor Luong ◽  
Zachary Arnold ◽  
Ben Murphy
Keyword(s):  
Artificial Intelligence ◽  
Emerging Technologies ◽  
Private Investment ◽  
Full Length ◽  
Chinese Government ◽  
Investment Funds ◽  
Public And Private

The Chinese government is pouring money into public-private investment funds, known as guidance funds, to advance China’s strategic and emerging technologies, including artificial intelligence. These funds are mobilizing massive amounts of capital from public and private sources—prompting both concern and skepticism among outside observers. This overview presents essential findings from our full-length report on these funds, analyzing the guidance fund model, its intended benefits and weaknesses, and its long-term prospects for success.

scholarly journals Introduction to the Special Issue on Artificial Intelligence for Smart Cities and Industries

2021 ◽  
Vol 22 (2) ◽  
pp. 89-91
Author(s):  
Ashutosh Sharma ◽  
Pradeep Kumar Singh ◽  
Wei-Chiang Hong ◽  
Gaurav Dhiman ◽  
Adam Slowik
Keyword(s):  
Artificial Intelligence ◽  
Biological System ◽  
Review Process ◽  
Smart Cities ◽  
Industrial Condition ◽  
Editorial Team ◽  
Special Issue ◽  
Geospatial Information ◽  
Double Blind ◽  
Data Arrangement

Smart Cities and Artificial Intelligence offers an intensive evaluation of how the smart city establishments are made at different scales through automated thinking headways, for instance, geospatial information, data examination, data portrayal, clever related things, and quick natural frameworks handiness. Progressing propels in electronic thinking attract us closer to making a persistent reproduced model of human-made and trademark structures, from urban regions to transportation establishments to utility frameworks. This continuous living model empowers us to all the bound to manage and improve these working structures, making them dynamically watchful. Keen Cities and Artificial Intelligence gives a multidisciplinary, joined procedure, using speculative and applied bits of information, for the evaluation of savvy city situations. This special issue shows how the mechanized and physical universes are associated inside this organic framework, and how nonstop data arrangement is changing the possibility of our urban as well as industrial condition. It gives a fresh sweeping perspective on the natural framework designing, advances, and parts that include the masterminding and execution of sharp city and industry establishments. This special issue also shows how the computerized and physical universes are connected inside this biological system, and how continuous information assortment is changing the idea of our urban and industry condition. It gives a crisp all-encompassing viewpoint on the biological system engineering, advances, and parts that involve the arranging and execution of keen city and industry foundations. After following double blind peer review for all the submitted manuscripts across the globe, and after the rigorous review process, revision and based on final recommendations of the reviewers and editorial team, finally 17 manuscripts have been accepted for publication.  

scholarly journals Troubled Waters: Navigating Unintended Consequences of Health Information Technology

2016 ◽  
Vol 25 (01) ◽  
pp. 5-6 ◽  
Author(s):  
C. U. Lehmann ◽  
B. Séroussi ◽  
M.-C. Jaulent
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Care Quality ◽  
Unintended Consequences ◽  
Editorial Team ◽  
Special Topic ◽  
Health It ◽  
Great Expectations ◽  
Many Sources

SummaryObjectives: To provide an introduction to the 2016 IMIA Yearbook of Medical Informatics by the editors.Methods: We present a brief overview of the 2016 special topic “Unintended consequences of Health IT: new problems, new solutions”, we review our choice of special topic section editors, and discuss the transitions in the editorial team for next year.Results: This edition of the Yearbook acknowledges the fact that implementation and use of Health Information Technology (HIT) may result in unintended consequences, which may lead to both adverse and sometimes beneficial outcomes. However to date, in the literature, undesired outcomes are emphasized with a focus on the complex causes and the many sources that may generate them. The growing awareness of the importance of HIT’s unintended consequences and their increasing documentation reflect a wider acceptance of HIT by users (more use generating more consequences) and and a new type of users (a shift from early adopters to late adopters and laggards), whith great expectations regarding the improvement of care quality through HIT solutions. Different points of view on new problems and new solutions of unintended consequences of Health IT are presented through the keynote paper, survey papers, and the working group contributions.Conclusions: The regular 2016 issue of the IMIA yearbook focuses on new unintended consequences of Health IT – brought on by wider adoption and different types of users as well as solutions to addressing them.

Chatbot Kantor Pelayanan Pajak Pratama Cikupa pada Platform Line

2020 ◽  
Vol 11 (1) ◽  
pp. 33-39
Author(s):  
Mustikaning Sitoresmi ◽  
Wella Wella
Keyword(s):  
Artificial Intelligence ◽  
General Public ◽  
Markup Language ◽  
Application Development ◽  
Development Methodology ◽  
Rapid Application Development ◽  
Directorate General ◽  
Tax Reporting ◽  
Answering Questions ◽  
Service Site

The Primary Tax Service Office has used technology in delivering information about taxes, such as the existence of an official tax portal service site as a forum for delivering information about requirements, announcements and provisions related to taxes for the general public. In addition, there are also online applications that are under the auspices of the Directorate General of Taxation which serve as services related to online tax reporting for the general public. However, the Primary Tax Service Office does not yet have a service to provide services to users quickly, easily and can be used at any time, therefore a chatbot application is created that can answer tax-related questions that can be accessed at any time easily and quickly. This chatbot is built using the hypertext preprocessor programming language and database using MySQL and the Artificial Intelligence Markup Language which contains a collection of patterns and responses that can be used by chatbots to search answers to each sentence. The software development methodology used is the Rapid Application Development (RAD) method. This research produces a chatbot application that can help users by answering questions about taxes.

Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil

AI Magazine ◽  
2019 ◽  
Vol 40 (4) ◽  
pp. 6-8
Author(s):  
Yolanda Gil ◽  
Biplav Srivastava ◽  
Ching-Hua Chen ◽  
Oshani Seneviratne
Keyword(s):  
Artificial Intelligence ◽  
Southern California ◽  
Rensselaer Polytechnic Institute ◽  
Polytechnic Institute ◽  
Editorial Team ◽  
University Of Southern California ◽  
The University ◽  
Information Sciences

This article contains the observations of Yolanda Gil, director of knowledge technologies and research professor at the Information Sciences Institute of the University of Southern California, USA, and president of Association for Advancement of Artificial Intelligence who was recently interviewed about the factors that could influence successful AI research. The editorial team interviewers included members of the special track editorial team from IBM Research (Biplav Srivastava, Ching-Hua Chen) and Rensselaer Polytechnic Institute (Oshani Seneviratne).

An Inclusive Ethical Design Perspective for a Flourishing Future with Artificial Intelligent Systems

2018 ◽  
Vol 9 (4) ◽  
pp. 677-689
Author(s):  
Anne GERDES
Keyword(s):  
Artificial Intelligence ◽  
General Public ◽  
Intelligent Systems ◽  
Systems Design ◽  
Artificial Intelligent ◽  
Ethical Design ◽  
Design Perspective

AbstractsThe article provides an inclusive outlook on artificial intelligence by introducing a three-legged design perspective that includes, but also moves beyond, ethical artificial systems design to stress the role of moral habituation of professionals and the general public. It is held that an inclusive ethical design perspective is essential for a flourishing future with artificial intelligence.

scholarly journals Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review

2021 ◽  
Vol 3 (9) ◽  
pp. e599-e611
Author(s):  
Albert T Young ◽  
Dominic Amara ◽  
Abhishek Bhattacharya ◽  
Maria L Wei
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Mixed Methods ◽  
General Public ◽  
Public Attitudes
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