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Do Algorithms Rule the World? Algorithmic Decision-Making in the Framework of the GDPR and Beyond
16 references·0 citing·45 second hop
Do Algorithms Rule the World? Algorithmic Decision-Making in the Framework of the GDPR and Beyond (2017)Do Algorithms Rule the World? Algorithmic…The Right Not to be Subject to Automated Decisions Based on Profiling (2017)The Right Not to be Subject t…European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)European Union Regulations on…Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation (2016)Why a Right to Explanation of…Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models (2016)Using sensitive personal data…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection (2016)Personal data for decisional …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…The Trouble with Algorithmic Decisions (2015)The Trouble with Algorithmic …The Black Box Society (2015)The Black Box SocietyStrategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’ (2015)Strategic opportunities (and …Self-driving cars and the chilling effect of liability law (2015)Self-driving cars and the chi…Sue My Car Not Me: Products Liability and Accidents Involving Autonomous Vehicles (2013)Sue My Car Not Me: Products L…Robots as Products: The Case for a Realistic Analysis of Robotic Applications and Liability Rules (2013)Robots as Products: The Case …Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures (2012)Why Unbiased Computational Pr…The Coming Collision Between Autonomous Vehicles and the Liability System (2012)The Coming Collision Between …Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation (1991)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)Working and organizing in the age of the learning algorithm (2018)Algorithms at Work: The New Contested Terrain of Control (2019)Digital transformation challenges: strategies emerging from a multi-stakeholder approach (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)CRITICAL QUESTIONS FOR BIG DATA (2012)Privacy and human behavior in the age of information (2015)The Black Box Society: The Secret Algorithms That Control Money and Information (2016)Big Data and discrimination: perils, promises and solutions. 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References

  • 2015The Black Box Society3,781 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 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
  • 2016Accountability in algorithmic decision making757 cited
  • 2015Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’493 cited
  • 2015The Trouble with Algorithmic Decisions422 cited
  • 2016Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation361 cited
  • 2017The Right Not to be Subject to Automated Decisions Based on Profiling162 cited
  • 2016Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection150 cited
  • 2012The Coming Collision Between Autonomous Vehicles and the Liability System139 cited
  • 2012Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures128 cited
  • 2016Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models125 cited
  • 2013Robots as Products: The Case for a Realistic Analysis of Robotic Applications and Liability Rules

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98 cited
  • 2015Self-driving cars and the chilling effect of liability law90 cited
  • 2013Sue My Car Not Me: Products Liability and Accidents Involving Autonomous Vehicles80 cited
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