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Leveraging AI to
Improve IG – And
Vice Versa!
AIIM True North
Jesse Wilkins
President and Principal Consultant
Athro Consulting
June 15, 2022
Agenda
• How AI Can Support RIM and IG
• How AI Can Go Bad
• How IG Can Improve AI
How AI Can Support RIM and IG
How AI Can Support RIM and IG
• Pattern recognition, e.g., SIN or SSN
• Textual analysis – natural language processing
• Metadata and pattern analysis
• Contextual and usage pattern analysis
• Leverage previous efforts to identify PII
• Locations
• Patterns of usage
Identifying
PII, PHI, Etc.
• Use AI to analyze document
contents
• As they come into the
organization
• Legacy information stores
like file shares
Automated
Classification
Analyze document contents, context to
identify potential classification target,
metadata values
Automated Redaction or Anonymization
• Leverage pattern recognition
to identify terms that need to
be redacted or anonymized
File Share Cleanup
• Use AI to confirm the absence of PII, PHI,
etc. in a particular folder or location
• Combine with usage reports, e.g., a
particular folder hasn’t been accessed by
anyone in 11 years
• As part of a migration, use AI to remediate
file-level metadata
How AI Can Go Bad
The Dutch Tax Authority and AI
• Families file claim with Dutch Tax Authority
• AI used to vet claims for signs of fraud
• Humans were to review potentially fraudulent claims
• But humans got busy….
• And there was bias in the model
• And there was no due process once the humans rubber-stamped the
decision
Limited Data Sets
• How many different things
are there on the road for
drivers to be aware of?
How IG Can Improve AI
Improve Data Quality
• Garbage in, garbage out
• Using AI to tag & apply metadata can help…to a point
• Better: put effective IG processes in place at the front end
Better Representation
• Is the data representative of the decisions to be made?
• How can you test it?
• How many different use cases can you feasibly test?
Think Through the Use Cases
Is AI the right tool for the
job?
“AI” means lots of things….
Are there privacy or
security considerations?
Who should be involved
in the discussion?
Business
RIM/IG
Legal
The ones implementing AI
Use Synthetic Data
• Synthetic data is just that
• No privacy issues because it’s not real data
• Perfect metadata because it’s created at the time the data is
Completely Synthetic Data
Synthesis by Disjunction
Focus on Transparency
• Any use of AI should be transparent
• What it’s used for
• How it came to its recommendations
• The role of the “human in the loop”
Questions?
For More
Information
Jesse Wilkins
President, Athro Consulting
https://www.athroconsulting.com
jesse.wilkins@athroconsulting.com
Twitter: @jessewilkins
LinkedIn:
https://www.linkedin.com/in/jessewilkins

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20220615 AIIM True North Leveraging AI to Improve IG.pptx

  • 1. Leveraging AI to Improve IG – And Vice Versa! AIIM True North Jesse Wilkins President and Principal Consultant Athro Consulting June 15, 2022
  • 2. Agenda • How AI Can Support RIM and IG • How AI Can Go Bad • How IG Can Improve AI
  • 3. How AI Can Support RIM and IG
  • 4. How AI Can Support RIM and IG • Pattern recognition, e.g., SIN or SSN • Textual analysis – natural language processing • Metadata and pattern analysis • Contextual and usage pattern analysis • Leverage previous efforts to identify PII • Locations • Patterns of usage
  • 5. Identifying PII, PHI, Etc. • Use AI to analyze document contents • As they come into the organization • Legacy information stores like file shares
  • 6. Automated Classification Analyze document contents, context to identify potential classification target, metadata values
  • 7. Automated Redaction or Anonymization • Leverage pattern recognition to identify terms that need to be redacted or anonymized
  • 8. File Share Cleanup • Use AI to confirm the absence of PII, PHI, etc. in a particular folder or location • Combine with usage reports, e.g., a particular folder hasn’t been accessed by anyone in 11 years • As part of a migration, use AI to remediate file-level metadata
  • 9. How AI Can Go Bad
  • 10.
  • 11. The Dutch Tax Authority and AI • Families file claim with Dutch Tax Authority • AI used to vet claims for signs of fraud • Humans were to review potentially fraudulent claims • But humans got busy…. • And there was bias in the model • And there was no due process once the humans rubber-stamped the decision
  • 12. Limited Data Sets • How many different things are there on the road for drivers to be aware of?
  • 13. How IG Can Improve AI
  • 14. Improve Data Quality • Garbage in, garbage out • Using AI to tag & apply metadata can help…to a point • Better: put effective IG processes in place at the front end
  • 15. Better Representation • Is the data representative of the decisions to be made? • How can you test it? • How many different use cases can you feasibly test?
  • 16. Think Through the Use Cases Is AI the right tool for the job? “AI” means lots of things…. Are there privacy or security considerations? Who should be involved in the discussion? Business RIM/IG Legal The ones implementing AI
  • 17. Use Synthetic Data • Synthetic data is just that • No privacy issues because it’s not real data • Perfect metadata because it’s created at the time the data is
  • 20. Focus on Transparency • Any use of AI should be transparent • What it’s used for • How it came to its recommendations • The role of the “human in the loop”
  • 22.
  • 23. For More Information Jesse Wilkins President, Athro Consulting https://www.athroconsulting.com jesse.wilkins@athroconsulting.com Twitter: @jessewilkins LinkedIn: https://www.linkedin.com/in/jessewilkins

Hinweis der Redaktion

  1. At this point I’d be pleased to entertain your questions.