Insights By Scott Ernst

Project Autodidact Progress Report (S02-C01-M03-AllParts)

By

Project Autodidact

Project Details: https://insightsbyse.com/projectautodidact/

Scott Ernst Bio: https://insightsbyse.com/aboutscotternst/

Project Contact: InsightsBySE@protonmail.com

Progress Report Scope (S02-C01-M03-AllParts)

Stage 2 of 4: Programming, Data Science, and Machine Learning Fundamentals and Applications

Cluster 1 of 14: Fundamental Data Science Knowledge, Skills, and Tools

Module 3 of 3: Laws, Guidelines, Principles, and Ethics Regarding Public and Private Data

Parts 1 through 17: See below

Summary Of Goals Achieved

  1. Reviewed similarities and differences between the generally accepted definitions of public data and private data
  2. Reviewed similarities and differences among the United States federal, California state, and European Union legal definitions of public data and private data
  3. Reviewed key United States federal statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes
  4. Reviewed key United States federal statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes
  5. Reviewed key California state statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes
  6. Reviewed key California state statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes
  7. Reviewed key European Union statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes
  8. Reviewed key European Union statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes
  9. Reviewed key international agreements applicable to the use of public data for predictive or forecasting purposes
  10. Reviewed key international agreements applicable to the use of private data for predictive or forecasting purposes
  11. Reviewed key industry guidelines and best practices applicable to the use of public data for predictive or forecasting purposes
  12. Reviewed key industry guidelines and best practices applicable to the use of private data for predictive or forecasting purposes
  13. Reviewed key industry guidelines and best practices to mitigate or eliminate possible or actual bias in the use of public or private data for predictive or forecasting purposes
  14. Reviewed applicability, policies, procedures, and content for Google Data Cards and Model Cards
  15. Reviewed origin, purpose, and practical application of Google’s AI Principles
  16. Reviewed key philosophical principles applicable to the use of public data for predictive or forecasting purposes
  17. Reviewed key philosophical principles applicable to the use of private data for predictive or forecasting purposes

Part 1 of 17

Goal 1 Statement: Review similarities and differences between the generally accepted definitions of public data and private data

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 2 of 17

Goal 1 Statement: Review similarities and differences among the United States federal, California state, and European Union legal definitions of public data and private data

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 3 of 17

Goal 1 Statement: Review key United States federal statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 4 of 17

Goal 1 Statement: Review key United States federal statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 5 of 17

Goal 1 Statement: Review key California state statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 6 of 17

Goal 1 Statement: Review key California state statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 7 of 17

Goal 1 Statement: Review key European Union statutes, regulations, and case law applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 8 of 17

Goal 1 Statement: Review key European Union statutes, regulations, and case law applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 9 of 17

Goal 1 Statement: Review key international agreements applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 10 of 17

Goal 1 Statement: Review key international agreements applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 11 of 17

Goal 1 Statement: Review key industry guidelines and best practices applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 12 of 17

Goal 1 Statement: Review key industry guidelines and best practices applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 13 of 17

Goal 1 Statement: Review key industry guidelines and best practices to mitigate or eliminate possible or actual bias in the use of public or private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 14 of 17

Goal 1 Statement: Review applicability, policies, procedures, and content for Google Data Cards and Model Cards

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 15 of 17

Goal 1 Statement: Review origin, purpose, and practical application of Google’s AI Principles

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 16 of 17

Goal 1 Statement: Review key philosophical principles applicable to the use of public data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed

Part 17 of 17

Goal 1 Statement: Review key philosophical principles applicable to the use of private data for predictive or forecasting purposes

Goal 1 Plan: Read source materials

Goal 1 Work Product: List of best practices

Goal 1 Result: Completed