data_ethics_guidance_document documents

  1. The Five Safes Framework
  2. The Government Data Quality Framework
  3. Data Ethics Framework
  4. The Scottish AI Playbook
  5. Guidelines for AI procurement
  6. Ethical considerations associated with Qualitative Research methods
  7. Data Sharing Governance Framework
  8. Ethical Principles
  9. Understanding artificial intelligence ethics and safety
  10. Responsible AI in Recruitment guide
  11. Artificial intelligence in public services
  12. A guide to good practice for digital and data-driven health technologies
  13. Explaining decisions made with AI
  14. Scottish AI Register
  15. Ethics Self-Assessment Tool
  16. The Model for Responsible Innovation
  17. Privacy Enhancing Technologies Adoption Guide
  18. Review into bias in algorithmic decision-making
  19. GSR Ethical Assurance for Social and Behavioural Research
  20. Ethical considerations in the use of machine learning for research and statistics
  21. Ethical considerations relating to the creation and use of synthetic data
  22. The Technology Code of Practice
  23. Using Data from Third Parties for Research and Statistics: High-Level Ethics Checklist
  24. The Digital, Data and Technology Playbook
  25. Portfolio of AI assurance techniques
  26. Ethical considerations related to the inclusivity of data for research and statistics
  27. A buyer's guide to AI in health and care
  28. Considering public views and engagement regarding the use of data for research and statistics
  29. Introduction to AI assurance
  30. Ethics, Transparency and Accountability Framework for Automated Decision-Making
  31. Building public confidence in location data: The ABC of ethical use
  32. Ethical considerations in the use of geospatial data for research and statistics
  33. Considering Public Good in Research and Statistics: Ethics Guidance