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Toward Fair, Accountable, and Transparent Algorithms: Case Studies on Algorithm Initiatives in Korea and China
12 references·9 citing·43 second hop
Toward Fair, Accountable, and Transparent Algorithms: Case Studies on Algorithm Initiatives in Korea and China (2019)Toward Fair, Accountable, and Transparent…Emerging models of data governance in the age of datafication (2020)Emerging models of data gover…AI super-powers: China, Silicon Valley and the new world order (2019)AI super-powers: China, Silic…AI Superpowers: China, Silicon Valley, and the New World Order (2018)AI Superpowers: China, Silico…European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)European Union Regulations on…Thinking critically about and researching algorithms (2016)Thinking critically about and…The social power of algorithms (2016)The social power of algorithmsSeeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)How the machine ‘thinks’: Und…Accountability in algorithmic decision making (2016)Accountability in algorithmic…Governing Algorithms (2015)Governing AlgorithmsEcological views of big data: Perspectives and issues (2014)Ecological views of big data:…Information, Communication and Society (1980)Information, Communication an…In generative artificial intelligence we trust: unpacking determinants and outcomes for cognitive trust (2025)In generative artificial inte…Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms (2023)Fairness of Academic Performa…A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle (2023)A seven-layer model with chec…Social equity in the data era: A systematic literature review of data‐driven public service research (2022)Social equity in the data era…When Algorithmic Transparency Failed: Controversies Over Algorithm-Driven Content Curation in the South Korean Digital Environment (2021)When Algorithmic Transparency…What is algorithmic governance? (2021)What is algorithmic governanc…A Cross-National Study on the Perception of Algorithm News in the East and the West (2021)A Cross-National Study on the…Prospectus and limitations of algorithmic governance: an ecological evaluation of algorithmic trends (2019)Prospectus and limitations of…Chinese government's shifting role in the national innovation system (2019)Chinese government's shifting…Trust in numbers: the pursuit of objectivity in science and public life (1995)The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences (2014)The Relevance of Algorithms (2014)If...Then (2018)Role of fairness, accountability, and transparency in algorithmic affordance (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Certifying and Removing Disparate Impact (2015)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Actionable Auditing (2019)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)The Interpretation of Cultures: Selected Essays (1974)The Interpretation of Cultures: Selected Essays. (1975)The Language of New Media (2002)Algorithms at Work: The New Contested Terrain of Control (2019)Managing visibility on YouTube through algorithmic gossip (2019)What is platform governance? (2019)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Stanford Encyclopedia of Philosophy (2015)Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)How We Became Posthuman (1999)How We Became Posthuman: Virtual Bodies in Cybernetics, Literature and Informatics (2001)Governing artificial intelligence: ethical, legal and technical opportunities and challenges (2018)Experience and Education. (1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The New Governance: Governing without Government (1996)Big other: Surveillance Capitalism and the Prospects of an Information Civilization (2015)The Platform Society (2018)The ethnographer and the algorithm: beyond the black box (2020)A sociotechnical view of algorithmic fairness (2021)Citizens’ Data Privacy in China: The State of the Art of the Personal Information Protection Law (PIPL) (2022)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The ethics of algorithms: Mapping the debate (2016)On the Opportunities and Risks of Foundation Models (2021)Mapping the potentials of regions in Europe to contribute to new knowledge production in Industry 4.0 technologies (2021)Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter? (2021)The geopolitics of ‘platforms’: the TikTok challenge (2021)Toward a Geoeconomic Order in International Trade and Investment (2019)Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs (2020)The Evolutionary Dynamics of the Artificial Intelligence Ecosystem (2021)
this work references cited by second hop

References

  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2,129 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2016Thinking critically about and researching algorithms1,200 cited
  • 2016The social power of algorithms941 cited
  • 2016Accountability in algorithmic decision making757 cited
  • 2019AI super-powers: China, Silicon Valley and the new world order618 cited
  • 2015Governing Algorithms391 cited
  • 2018AI Superpowers: China, Silicon Valley, and the New World Order359 cited
  • 2020Emerging models of data governance in the age of datafication331 cited
  • 2014Ecological views of big data: Perspectives and issues155 cited
  • 1980Information, Communication and Society134 cited

Cited by

  • 2022Social equity in the data era: A systematic literature review of data‐driven public service research112 cited
  • 2019Chinese government's shifting role in the national innovation system99 cited
  • 2025In generative artificial intelligence we trust: unpacking determinants and outcomes for cognitive trust

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46 cited
  • 2021What is algorithmic governance?45 cited
  • 2023A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle31 cited
  • 2021When Algorithmic Transparency Failed: Controversies Over Algorithm-Driven Content Curation in the South Korean Digital Environment28 cited
  • 2021A Cross-National Study on the Perception of Algorithm News in the East and the West22 cited
  • 2019Prospectus and limitations of algorithmic governance: an ecological evaluation of algorithmic trends19 cited
  • 2023Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms14 cited