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as  the  above  shows,  automated  systems  do  not  always  produce  fair  or
               reasonable outcomes, particularly where they encounter situations which have
               not  been thought  about  in  their  programming.  Automated  systems  can  also
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               contain inbuilt direct and indirect discrimination within their programming.
               Without transparency regarding the development and operation of automated
               systems accountability and remedy for these errors and discrimination is not
               possible.


          2.87  As Richard Pope has pointed out, currently, the UC system is very one sided–
               it collects large amounts of personal data and has a detailed, real-time view of
               how  the  public  are  using  the  service.  However,  those  wishing  to  hold  the
               government to account for its actions have little information to go on. Being
               transparent about how DWP’s systems work and how they change will enable





          185   As  demonstrated  by  the  recent  Post  Office  Horizon  scandal.  Between  2000  and  2014  736  sub-
          postmasters and sub-postmistresses were prosecuted for theft, fraud and false accounting on the basis of
          information from the Horizon IT system - an electronic point of sale and accounting system used in
          post office branches. Some went to prison, and many were financially ruined. In December 2019 the
          High Court found that the Horizon system contained numerous bugs, errors and defects and that there
          was a ‘material risk’ that the shortfalls in branch accounts were caused by the IT system (Bates v Post
          Office Limited [2019] EWHC 3408 (QB)) In April 2021 the Court of Appeal quashed the convictions
          of 39 sub-postmasters, clearing the way for many of the others to challenge their convictions (Hamilton
          v Post Office Limited  [2021] EWCA Crim 577 (see also K. Peachy ‘Post Office scandal: What the
          Horizon saga is all about’ (BBC, 23 April 2021). More than 20,000 parents were falsely accused of
          child benefit fraud by an automated fraud detection system in the Netherlands (‘A benefits scandal
          sinks  the  Dutch  government’  (The  Economist,  21  January  2021).  In  Ontario,  Canada  a  predictive
          analytics programme which supplemented case workers’ assessments of eligibility and benefits level,
          was found to have had at the time of its launch 2,400 serious defects, which impacted clients’ eligibility
          for benefits and the payments they received. Ministry of Community and Social Science, ‘SAMS  –
          Social Assistance Management System’ in 2015 Annual Report of the Office of the Auditor General of
          Ontario (2015).
          186  For example, the risk factors that the algorithm used in the benefits-fraud detection system in the
          Netherlands, included parents with dual-nationality as a fraud risk, which amounted to ethnic profiling.
          See Dutch Parliamentary Inquiry Committee, Unprecedent Injustice (December 2020). The data used
          to train an AI system may lead to implicit biases, or the parameters which have limited adaptability to
          individual  situations  can  result  in  indirect  discrimination.  This  concern  was  raised  in  relation  to  an
          authentication algorithm piloted in California, since the questions risked creating additional obstacles

          for marginalised and migrant  populations,  for example by assuming established residential  ties. See
          Coalition of California Welfare Rights Organisations, Inc., ‘Advocate Response to DSS Options for
          Replacing the Statewide Fingerprint Imaging System (SFIS)” (2017).

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