All technologies
Every technology the NYC Office of Technology and Innovation has published on this register. Narrow it by what it is for or whether it can identify you.
How to read the colours
Can it identify you?
- Anonymized data
- Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
- Pseudonymous data
- Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
- Identifiable data
- The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.
Who completes the loop?
- Human decides
- This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
- Human executes
- This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
- Autonomous
- This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.
Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.
Showing 10 of 86 published
  AI-Assisted Bacterial Genome Analysis for Outbreak Detection Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
| Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location | |
AI-Assisted DNA Basecalling for Genomic Surveillance Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
 AI-Assisted Foodborne Illness Detection from Social Media Risk Assessment & Triage · Healthcare | Department of Health and Mental Hygiene (DOHMH) | Identifiable data | No fixed location |
AI-Assisted Genomic Phylogenetic Analysis for Outbreak Detection Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
AI-Assisted Genomic Sequence Alignment for Disease Surveillance Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
AI-Assisted Genomic Variant Detection for Public Health Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
| Department of Health and Mental Hygiene (DOHMH) | Identifiable data | No fixed location | |
AI-Assisted Pathogen Cluster Analysis for Disease Surveillance Healthcare · Research & Development | Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |
| Department of Health and Mental Hygiene (DOHMH) | Anonymized data | No fixed location |