Artificial intelligence and automated decision-making can be hugely beneficial for public authorities to assist with the processing of data. As noted, it is however important to be aware of potential issues. In this section we will take a look at how public authorities can safeguard the processes and ensure fair results.

 

 

Please take the time to familiarise yourself with the relevant pages of the policy brief Preventing the potential discriminatory effects of the use of artificial intelligence in local services.

Take some minutes to consider the following questions which may help you identify areas to address:

  • Does your city carry out risk assessments?
  • Is the automated decision-making system used by a different part of the organization than the ones who developed it? Have all relevant parties been involved when developing the system?
  • Is the impact resulting from the decision reversible? How long will the impact from the decision last?
  • Will the automated decision-making system use personal information as input data? Who controls the data and who collected the data used for training the system?

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8. Which are some practical aspects which can be included in public procurement to safeguard against discrimination through automated decision-making? Please choose all relevant options.

  • (1)Not describing a solution, but rather highlighting potential problems
  • Describing the solutions
  • (1)Highlighting limitations and transparency
  • Allowing the expert providers to define the parameters
  • Respecting trade secrets
  • (1)Working with a diverse, multidisciplinary team

There are some methods which may help tackle or to minimize the risk of discrimination while using tools for artificial intelligence and automated decision-making. Such examples include human–centred solutions embedded in public procurement procedures and algorithmic impact assessments.

9. Which tools can be included in the public procurement to ensure the automated decision-making is not discriminatory?

  • Promote protection of trade secrets
  • (1)Risk assessment
  • (1)Continuous cooperation with contractors
  • Assess only the financial aspect of the solution
  • (1)Transparency requirements
  • (1)Auditing and evaluation
  • Avoid involving service providers in any part of the process
  • Require an information package only for the IT department

While this question has only limited response options, it can be interesting to take a look at further materials to understand which steps users of automated decision-making can take to ensure non-discrimination. We suggest taking a look at the further reading materials.

Knowledge test results

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