Cultivating Trustworthy Artificial Intelligence in Digital Government
Bibliographic Data
| ID | 12170481 |
|---|---|
| Authors | Teresa M Harrison (0000-0002-0898-5815, University at Albany, State University of New York, NY, USA), Luis F Luna‐reye (0000-0002-0852-404X, Albany State University, corresponding author), Luis Felipe Luna-Reyes (University at Albany, State University of New York, NY, USA) |
| Year | 2020 |
| Volume | 40 |
| Issue | 2 |
| Pages | 494-511 |
| Publication date | 2020-12-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439320980122 |
| OpenAlex | W3117217658 |
| Language | EN |
| Citations received | 21 |
| References cited | 42 |
While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them
Computer security · Context (archaeology · Corporate governance · Data science · Democracy · Economics · Government (linguistics · Knowledge management · Management · Political science · Politics · Public relations · Set (abstract data type · Sociology · Trustworthiness · Computer Science · Ethics and Social Impacts of AI · Law · Legal and Policy Issues · Privacy, Security, and Data Protection
Prospects and Challenges of Future AI-Enabled Government
Preparing the Next Generation of AI-Savvy Public Affairs Professionals
Machine learning to predict local government deficits during economic downturns
Artificial Intelligence in Government Weakens Citizens’ Affective Ties With Public Employees
Requirements for trustworthy AI-enabled automated decision-making in the public sector
What is civic participation in artificial intelligence
Social trust and public digitalization
Trustworthy artificial intelligence and the European Union AI act
Artificial Intelligence in Government
AI adoption and diffusion in public administration
Citizens' acceptance of artificial intelligence in public services
Factors in the adoption of open government initiatives in Spanish local governments
Intelligent technologies, governments, and citizens
AI-augmented government transformation
Artificial Intelligence for data-driven decision-making and governance in public affairs
Public value positions and design preferences toward AI-based chatbots in e-government. Evidence from a conjoint experiment with citizens and municipal front desk officers
Factors influencing the use of artificial intelligence in government
Policy initiatives for Artificial Intelligence-enabled government
Legal Evaluation for Security Exception Claims About the Cross-Border Transfer of the Korean Map
Evka—Fuzzy Modelling Based System for the Decision-Making Support of Community Workers
Mapping the discourse on evidence-based policy, artificial intelligence, and the ethical practice of policy analysis
Artificial Intelligence and the Public Sector—Applications and Challenges
Artificial Intelligence
A Layered Model for AI Governance
The Ethics of AI Ethics
Reframing AI Discourse
Prediction Policy Problems
There is a blind spot in AI research
The ethics of smart cities and urban science
The ethics of artificial intelligence
Will Democracy Survive Big Data and Artificial Intelligence
Of algorithms, Apps and advice
Transparency, participation, and accountability practices in open government
The Evolution and Continuing Challenges of E‐Governance
Machine Learning for Public Administration Research, With Application to Organizational Reputation
Open government and e-government
Automating Inequality
Found Out and Opting Out
The ethics of algorithms
How the machine 'thinks
Big Data Surveillance
Owning Ethics
| Unique citing works | 21 |
|---|---|
| Citations per year | 4,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |