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Algorithmic responsibility without accountability: Understanding data‐intensive algorithms and decisions in organisations
16 references·1 citing·40 second hop
Algorithmic responsibility without accountability: Understanding data‐intensive algorithms and decisions in organisations (2024)Algorithmic responsibility without accoun…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…Working and organizing in the age of the learning algorithm (2018)Working and organizing in the…Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Understanding perception of a…Ethical Implications and Accountability of Algorithms (2018)Ethical Implications and Acco…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Big Data Surveillance: The Case of Policing (2017)Big Data Surveillance: The Ca…The social dilemma of autonomous vehicles (2016)The social dilemma of autonom…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Seeing 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…Algorithmic Accountability (2014)Algorithmic AccountabilityBig Data : The Management Revolution (2013)Big Data : The Management Rev…Big data: the management revolution. (2012)Big data: the management revo…The responsibility gap: Ascribing responsibility for the actions of learning automata (2004)The responsibility gap: Ascri…Funktionen und Folgen formaler Organisation (1999)Funktionen und Folgen formale…The Organization of Hypocrisy: Talk, Decisions, and Actions in Organizations. (1991)The Organization of Hypocrisy…Toward sustainable AI leadership: ethical blind spots, accountability gaps and the CARE governance framework (2025)Toward sustainable AI leaders…Truth and Method (1960)Why Most Published Research Findings Are False (2005)Stanford Encyclopedia of Philosophy (2015)Principles alone cannot guarantee ethical AI (2019)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Experience and Education. (1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The Platform Society (2018)Algorithms at Work: The New Contested Terrain of Control (2019)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Motivation through the design of work: test of a theory (1976)Basics of qualitative research (1990)Trust in Automation: Designing for Appropriate Reliance (2004)Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII) (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Algorithmic Bias in Education (2021)Dilemmas in a general theory of planning (1973)Fairness and Abstraction in Sociotechnical Systems (2019)What Do Platforms Do? Understanding the Gig Economy (2020)Experimental evidence of massive-scale emotional contagion through social networks (2014)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)The global landscape of AI ethics guidelines (2019)Emerging challenges in AI and the need for AI ethics education (2020)Ethical principles for artificial intelligence in education (2022)Trustworthy Artificial Intelligence: A Review (2022)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The Relevance of Algorithms (2014)On the Opportunities and Risks of Foundation Models (2021)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)In AI We Trust: Ethics, Artificial Intelligence, and Reliability (2020)The Ethical Implications of Using Artificial Intelligence in Auditing (2020)Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age (2017)Machine behaviour (2019)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Privacy and human behavior in the age of information (2015)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Digital Finance and FinTech: current research and future research directions (2017)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)
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References

  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
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  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
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  • 2018Ethical Implications and Accountability of Algorithms

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754 cited
  • 2014Algorithmic Accountability729 cited
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    • 2025Toward sustainable AI leadership: ethical blind spots, accountability gaps and the CARE governance framework13 cited