SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Transparency and Algorithmic Governance
0 references·14 citing·41 second hop
Transparency and Algorithmic Governance (2019)Transparency and Algorithmic GovernanceAlgorithmic accountabilities and health systems: A review and sociomaterial approach (2025)Algorithmic accountabilities …Using AI to Mitigate the Employee Misclassification Problem (2024)Using AI to Mitigate the Empl…Analyzing trends: A bibliometric study of administrative law and forensic accounting in the digital age (2024)Analyzing trends: A bibliomet…The Right to Transparency in Public Governance: Freedom of Information and the Use of Artificial Intelligence by Public Agencies (2023)The Right to Transparency in …The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies (2023)The Bureaucratic Challenge to…How Do Manufacturing Firms Manage Artificial Intelligence to Drive Iterative Product Innovation? (2023)How Do Manufacturing Firms Ma…Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector (2023)Artificial Intelligence and P…An Ecosystem Framework of AI Governance (2022)An Ecosystem Framework of AI …Procurement as AI Governance (2021)Procurement as AI GovernanceLos algoritmos son reglamentos (2020)Los algoritmos son reglamentosDeep learning and principal–agent problems of algorithmic governance: The new materialism perspective (2020)Deep learning and principal–a…Co-regulating algorithmic disclosure for digital platforms (2020)Co-regulating algorithmic dis…AI safety: state of the field through quantitative lens (2020)AI safety: state of the field…Administration by algorithm: A risk management framework (2020)Administration by algorithm: …The ethics of algorithms: Mapping the debate (2016)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)Impossibility Results in AI: A Survey (2023)Crossing the principle–practice gap in AI ethics with ethical problem-solving (2024)AI Governance in the Context of the EU AI Act (2025)Auf dem Weg in eine andere Moderne (1986)Big Data's Disparate Impact (2014)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Valoración algorítmica ante los derechos humanos y el Reglamento General de Protección de Datos: el caso SyRI (2020)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)Economic Action and Social Structure: The Problem of Embeddedness (1985)The iron cage revisited institutional isomorphism and collective rationality in organizational fields (2004)Corporate Social Responsibility and Sustainability: From a Corporate Governance Perspective (2022)Machine learning, knowledge risk, and principal-agent problems in automated trading (2022)Algorithmic Decision-Making, Agency Costs, and Institution-Based Trust (2024)Code and Other Laws of Cyberspace (1999)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power (2019)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Governance of Responsible AI: From Ethical Guidelines to Cooperative Policies (2022)Legitimacy of Algorithmic Decision-Making: Six Threats and the Need for a Calibrated Institutional Response (2022)Enhancing public service delivery efficiency: Exploring the impact of AI (2024)Reassembling the Social (2005)Three Approaches to Qualitative Content Analysis (2005)Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe (2023)The dynamics of AI capability and its influence on public value creation of AI within public administration (2023)Public Anxieties About AI: Implications for Corporate Strategy and Societal Impact (2024)Building Theories from Case Study Research (1989)Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of who and What Really Counts (1997)Shareholder value, stakeholder management, and social issues: what's the bottom line? (2001)Backward Mapping: Implementation Research and Policy Decisions (1979)From the Positive to the Regulatory State: Causes and Consequences of Changes in the Mode of Governance (1997)Incentives and Organizations in the Public Sector: An Interpretative Review (2002)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)A responsible artificial intelligence framework for forensic science (2025)Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework (2025)We have never been modern (1994)Sample Size in Qualitative Interview Studies (2015)Dissecting racial bias in an algorithm used to manage the health of populations (2019)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2023Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector84 cited
  • 2020Administration by algorithm: A risk management framework83 cited
  • 2020Deep learning and principal–agent problems of algorithmic governance: The new materialism perspective53 cited
  • 2020Los algoritmos son reglamentos42 cited
  • 2023How Do Manufacturing Firms Manage Artificial Intelligence to Drive Iterative Product Innovation?40 cited
  • 2020Co-regulating algorithmic disclosure for digital platforms37 cited
  • 2020AI safety: state of the field through quantitative lens36 cited
  • 2025Algorithmic accountabilities and health systems: A review and sociomaterial approach26 cited
  • 2023The Right to Transparency in Public Governance: Freedom of Information and the Use of Artificial Intelligence by Public Agencies25 cited
  • 2023The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies24 cited
  • 2021Procurement as AI Governance23 cited
  • 2022An Ecosystem Framework of AI Governance18 cited
  • 2024Analyzing trends: A bibliometric study of administrative law and forensic accounting in the digital age17 cited
  • 2024Using AI to Mitigate the Employee Misclassification Problem

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

0 cited