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Presentatie Frank van Praat

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Presentatie van het Datacongres ''data science voor maatschappelijke uitdagingen'' op 22 november 2018

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Presentatie Frank van Praat

  1. 1. 1 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. Frank van Praat vanpraat.frank@kpmg.nl wat zien we gebeuren in de maatschappij?
  2. 2. 2 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. systemen bepalen ons gedrag
  3. 3. 3 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. slaafs volgen van algoritmen
  4. 4. 4 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. maar er zijn ook risico’s
  5. 5. 5 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. ethics data
  6. 6. 6 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. privacy data
  7. 7. 7 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. data governance
  8. 8. 8 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. betrouwbaarheid
  9. 9. 9 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. informatiebeveiliging
  10. 10. 10 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. firmware & IT architectuur
  11. 11. 11 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. behoefte aan transparantie en zekerheid
  12. 12. 12 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. Blind vertrouwen versus geinformeerd vertrouwen wat is zekerheid?
  13. 13. 13 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. Een van de dingen waarmee we samen met die steden willen experimenteren is een verplichting voor bedrijven om hun algoritme te laten auditen door een onafhankelijke partij. Is je algoritme transparant, lieg je niet, steel je niet? Doel van het onderzoek is inzicht te verwerven over welke bestuursorganen welke algoritmen gebruiken en hoe de bestuursorganen zich kunnen verantwoorden over de toepassing van deze algoritmen. For 2018, the objective would be to develop such an auditing process, consisting of two steps: 1) to formulate criteria about which algorithms would need such an audit, e.g., for regulators—e.g., if the algorithm threatens human rights, then ‘yes, audit is needed’; 2) and to provide a standardized process to audit the controls, e.g., for companies and government—possibly based on ISAE3000 (https://en.wikipedia.org/wiki/ISAE_3000). Verschillende initiatieven
  14. 14. 14 © 2018 KPMG Advisory N.V., registered with the trade register in the Netherlands under number 33263682, a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative, a Swiss entity. All rights reserved. Business Governance Output data Algorithm platform Input data Algorithm (logic) IT Infrastructure Internal Control IT, privacy, cyber, … Corporate values & ethics, compliance (GDPR), security standards, quality standards What does the algorithm need to do? (Design) Does the algorithm do what is needs to do? (Implementation) Is the algorithm compliant? (Design) Does the algorithm keep doing what it needs to do? (Operation) Process Audit model Frank van Praat vanpraat.frank@kpmg.nl

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