@article{42028,
      author = {Wachter, Sandra and Mittelstadt, Brent},
      url = {http://tind.wipo.int/record/42028},
      title = {A Right to Reasonable Inferences : Re-Thinking Data  Protection Law in the Age of Big Data and AI},
      abstract = {This Article argues that a new data protection right, the  ‘right to reasonable inferences’, is needed to help  close the accountability gap currently posed by ‘high  risk inferences’ , meaning inferences drawn from Big Data  analytics that damage privacy or reputation, or have low  verifiability in the sense of being predictive or  opinion-based while being used in important decisions. This  right would require ex-ante justification to be given by  the data controller to establish whether an inference is  reasonable. This disclosure would address (1) why certain  data form a normatively acceptable basis from which to draw  inferences; (2) why these inferences are relevant and  normatively acceptable for the chosen processing purpose or  type of automated decision; and (3) whether the data and  methods used to draw the inferences are accurate and  statistically reliable. The ex-ante justification is  bolstered by an additional ex-post mechanism enabling  unreasonable inferences to be challenged.},
      recid = {42028},
      pages = {130 pages},
}