Hello, World

Artificial Intelligence (AI) is an area of research and technology application that can have a significant impact on public policies and services in many ways. In just a few years, it is expected that the potential will exist to free up nearly one-third of public servants’ time, allowing them to shift from mundane tasks to high-value work. Governments can also use AI to design better policies and make better decisions, improve communication and engagement with citizens and residents, and improve the speed and quality of public services. While the potential benefits of AI are significant, attaining them is not an easy task. Government use of AI trails that of the private sector; the field is complex and has a steep learning curve; and the purpose of, and context within, government are unique and present a number of challenges.

[1]  A. Davis,et al.  The entrepreneurial state: : debunking public vs. private sector myths , 2014 .

[2]  M. Esteve,et al.  Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[3]  L. Jason Anastasopoulos,et al.  Machine Learning for Public Administration Research, with Application to Organizational Reputation , 2018, Journal of Public Administration Research and Theory.

[4]  Chuang Gan,et al.  The Neuro-Symbolic Concept Learner: Interpreting Scenes Words and Sentences from Natural Supervision , 2019, ICLR.

[5]  Lina Dencik,et al.  Data scores as Governance: Investigating uses of citizen scoring in public services project report , 2018 .

[6]  Juan C Mateos-Garcia,et al.  The Complex Economics of Artificial Intelligence , 2018 .

[7]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[8]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[9]  Jiajun Wu,et al.  Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Charlotte van Ooijen,et al.  A data-driven public sector , 2019, OECD Working Papers on Public Governance.

[11]  Peter Viechnicki,et al.  How much time and money can AI save government , 2017 .

[12]  Nicholas Walliman,et al.  Social research methods , 2006 .

[13]  Kirk Bansak,et al.  Improving refugee integration through data-driven algorithmic assignment , 2018, Science.

[14]  Costantino Balestra,et al.  Diversity statistics in the OECD , 2018, OECD Statistics Working Papers.

[15]  Nick Bostrom,et al.  Future Progress in Artificial Intelligence: A Survey of Expert Opinion , 2013, PT-AI.

[16]  E. Petrucci,et al.  State of the art in the use of emerging technologies in the public sector , 2019, OECD Working Papers on Public Governance.

[17]  Iyad Rahwan,et al.  The evolution of citation graphs in artificial intelligence research , 2019, Nature Machine Intelligence.

[18]  Matt Andrews.  How Do Governments Build Capabilities to Do Great Things , 2015 .

[19]  David Weinberger,et al.  Accountability of AI Under the Law: The Role of Explanation , 2017, ArXiv.

[20]  David Leslie.  Understanding artificial intelligence ethics and safety , 2019, SSRN Electronic Journal.

[21]  D. Moynihan,et al.  Administrative Burden , 2019 .

[22]  Marijn Janssen,et al.  Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy? , 2015, Gov. Inf. Q..

[23]  Marc Esteve,et al.  Big Data and AI – A transformational shift for government: So, what next for research? , 2018, Public Policy and Administration.

[24]  Luciano Floridi,et al.  Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation , 2017 .

[25]  Avi Goldfarb,et al.  Prediction Machines: The Simple Economics of Artificial Intelligence , 2018 .

[26]  Paulo Henrique de Souza Bermejo,et al.  How and where is artificial intelligence in the public sector going? A literature review and research agenda , 2019, Gov. Inf. Q..

[27]  Marek Kowalkiewicz,et al.  From One-stop-shop to no-stop-shop: an E-Government stage Model , 2019, ECIS.