scholarly journals Digital discretion and public administration in Africa: Implications for the use of artificial intelligence

2022 ◽  
Author(s):  
Paul Plantinga
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
System Development ◽  
Policy Formulation ◽  
Data Driven ◽  
System Level ◽  
Review Of Literature ◽  
Public Officials ◽  
Complete Understanding ◽  
Stakeholder Groups

The digitalisation of public services is implicated in fundamental changes to how civil servants make decisions and exercise discretion. Most significant has been a shift in responsibility away from ‘street-level bureaucrats’ to ‘system-level bureaucrats’; a technology-savvy community of officials, consultants and private enterprises involved in the design of information technology systems and associated rules. The relatively recent inclusion of artificial intelligence (AI) and data-driven algorithms raises new questions about the conflation of policy formulation and system development activities, but also intensifies concerns about the epistemic dependence and policy alienation of public officials. African public administrations are in an especially vulnerable position with respect to the adoption of AI, and so this chapter seeks to synthesise lessons from previous digital implementations on the continent, and considers the implications for AI use. Four broad considerations emerge from the review of literature: Integrity of recommendations provided by decision-support systems, including how they are influenced by local organisational practices and the reliability of underlying infrastructures; Inclusive decision-making that balances the (assumed) objectivity of data-driven algorithms and the influence of different stakeholder groups; Exception and accountability in how digital and AI platforms are funded, developed, implemented and used; and a Complete understanding of people and events through the integration of traditionally dispersed data sources and systems, and how policy actors seek to mitigate the risks associated with this aspiration.

scholarly journals Coordination for Policy in Transition Countries: Case of Croatia

2015 ◽  
Vol 13 (3-4) ◽  
pp. 117-159
Author(s):  
Anamarija Musa ◽  
Zdravko Petak
Keyword(s):  
Public Policy ◽  
Regional Development ◽  
Public Administration ◽  
Government Policy ◽  
Development Policy ◽  
Transition Countries ◽  
Policy Formulation ◽  
Public Officials ◽  
Coordination Problem ◽  
Preliminary Research

The formulation and implementation of public policy depends on the coordination capacities. In recent decades the need for coordination has increased due to the fragmentation caused by NPM reforms, decentralisation processes, the proliferation of the cross-cutting issues, as well as increased globalisation, Europeanisation, and professionalization. The coordination problem in Croatian administration, similarly to other transition countries, is critically important but understudied. This paper is based on a preliminary research on coordination in Croatian public administration with regard to policy formulation and implementation of three policies – regional development policy, anticorruption policy and e-government policy, based on the interviews conducted with higher civil servants and public officials. A special emphasis is given to the role which various actors play in coordination, as well as the structures Government employs in order to coordinate. The research shows that the development of coordination instruments in Croatia suffers from inefficiencies and is greatly influenced by politically driven considerations.

The Oxford Handbook of Ethics of AI

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Rapid Development ◽  
Data Driven ◽  
International Human Rights Law ◽  
Human Knowledge ◽  
Human Rights Law ◽  
Ai Ethics ◽  
And Behavior ◽  
Control Complex

This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology today has led to a growing number of ethical issues in a multitude of fields, ranging from disciplines as far-reaching as international human rights law to issues as intimate as personal identity and sexuality. In fact, the number and variety of topics in this volume illustrate the width, diversity of content, and at times exasperating vagueness of the boundaries of “AI Ethics” as a domain of inquiry. Within this discourse, the book points to the capacity of sociotechnical systems that utilize data-driven algorithms to classify, to make decisions, and to control complex systems. Given the wide-reaching and often intimate impact these AI systems have on daily human lives, this volume attempts to address the increasingly complicated relations between humanity and artificial intelligence. It considers not only how humanity must conduct themselves toward AI but also how AI must behave toward humanity.

Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

2021 ◽  
Author(s):  
Marina Johnson ◽  
Rashmi Jain ◽  
Peggy Brennan-Tonetta ◽  
Ethne Swartz ◽  
Deborah Silver ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Driven

scholarly journals Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽  
2021 ◽  
pp. 004209802110140
Author(s):  
Sarah Barns
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computational Models ◽  
Data Driven ◽  
Urban Systems ◽  
Out Of The Loop ◽  
Urban Futures ◽  
Urban Behaviour ◽  
The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

scholarly journals A performance-based tabular approach for joint systematic improvement of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system

2021 ◽  
Author(s):  
Ivo Häring ◽  
Mirjam Fehling-Kaschek ◽  
Natalie Miller ◽  
Katja Faist ◽  
Sebastian Ganter ◽  
...  
Keyword(s):  
Indoor Localization ◽  
System Development ◽  
Management Practice ◽  
Risk Control ◽  
System Level ◽  
Gas Network ◽  
Counter Measures ◽  
Ultrasound Localization ◽  
Systematic Improvement ◽  
Resilience Assessment

AbstractOrganizational and technical approaches have proven successful in increasing the performance and preventing risks at socio-technical systems at all scales. Nevertheless, damaging events are often unavoidable due to a wide and dynamic threat landscape and enabled by the increasing complexity of modern systems. For overall performance and risk control at the system level, resilience can be a versatile option, in particular for reducing resources needed for system development, maintenance, reuse, or disposal. This paper presents a framework for a resilience assessment and management process that builds on existing risk management practice before, during, and after potential and real events. It leverages tabular and matrix correlation methods similar as standardized in the field of risk analysis to fulfill the step-wise resilience assessment and management for critical functions of complex systems. We present data needs for the method implementation and output generation, in particular regarding the assessment of threats and the effects of counter measures. Also included is a discussion of how the results contribute to the advancement of functional risk control and resilience enhancement at system level as well as related practical implications for its efficient implementation. The approach is applied in the domains telecommunication, gas networks, and indoor localization systems. Results and implications are further discussed.

scholarly journals An Artificial Intelligence of Things-Based Picking Algorithm for Online Shop in the Society 5.0’s Context

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2813
Author(s):  
Muslikhin Muslikhin ◽  
Jenq-Ruey Horng ◽  
Szu-Yueh Yang ◽  
Ming-Shyan Wang ◽  
Baiti-Ahmad Awaluddin
Keyword(s):  
Artificial Intelligence ◽  
System Performance ◽  
Industry 4.0 ◽  
Online Shopping ◽  
Robotic Manipulators ◽  
Data Driven ◽  
Key Points ◽  
Detection And Localization ◽  
Picking System

In this study, an Artificial Intelligence of Things (AIoT)-based automated picking system was proposed for the development of an online shop and the services for automated shipping systems. Speed and convenience are two key points in Industry 4.0 and Society 5.0. In the context of online shopping, speed and convenience can be provided by integrating e-commerce platforms with AIoT systems and robots that are following consumers’ needs. Therefore, this proposed system diverts consumers who are moved by AIoT, while robotic manipulators replace human tasks to pick. To prove this idea, we implemented a modified YOLO (You Only Look Once) algorithm as a detection and localization tool for items purchased by consumers. At the same time, the modified YOLOv2 with data-driven mode was used for the process of taking goods from unstructured shop shelves. Our system performance is proven by experiments to meet the expectations in evaluating efficiency, speed, and convenience of the system in Society 5.0’s context.

Computerizing Values and Accessing Values via SMS

2020 ◽  
Vol 10 (2) ◽  
pp. 76-81
Author(s):  
Imanuel Revelino Murmanto ◽  
Dina Fitria Murad
Keyword(s):  
Design Method ◽  
System Development ◽  
Student Learning Outcomes ◽  
System Level ◽  
Development Lifecycle ◽  
Black Box Testing ◽  
White Box Testing ◽  
Student Grades ◽  
Visual Basic 6.0 ◽  
Application Programs

The purpose of this study was to design an application to provide information to parents of SDK III BPK Penabur students regarding the exam schedule, and student grades via SMS. The design method used is the System Development Lifecycle method. The application design is done using the Visual Basic 6.0 programming language for designing application programs and interfaces and MySQL for designing the database. This application consists of several modules, namely the module processing data, processing values, processing SMS, and reports. The module is integrated to form a Computerized Value application and Value Access via SMS. In testing the application of Computerized Values ​​and Value Accessing Through SMS, white box testing and Black Box Testing methods are used. Tests are carried out at the module, program and system level. In addition, user testing is also done. The advantages of the application of Computerized Values ​​and Value of Access Through SMS help parents to obtain information about student learning outcomes, helping teachers to process student grades

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