UXAI
Alignment of AI tools with good human practice is important. We call our approach UXAI. It is best explained by example.
SISDA
The SISDA model enables clinicians to be alerted to suicidal ideation and shelf-harm language in text. Without SISDA clinicians would need to triage thousands of text interactions each week. It is provided free of charge under an AGPLv3 licence to those organisations who commit to build SISDA into their risk mitigation actions. Feedback on its use is required via (Model Feedback)
New phrases are identified by NLP on digital interactions and via 'red flag' phrases added via the SISDA checker below. On entering a phrase into the checker, if the phrase would trigger a validation question with the mental health triage system user, this is stated.
New phrases are identified by NLP on digital interactions and via 'red flag' phrases added via the SISDA checker below. On entering a phrase into the checker, if the phrase would trigger a validation question with the mental health triage system user, this is stated.
The SISDA phrase list is validated by a UXAI Alignment group of three or more senior clinicians in a users organisation
They do this by annotating the output of NLP and new SISDA phrases added to the SISDA Checker with one of the following labels:
Phrases that clinicians indicate are Evidence of possible Intent are added to the SISDA phrase list.
They do this by annotating the output of NLP and new SISDA phrases added to the SISDA Checker with one of the following labels:
- To be Validated
- Evidence of possible Intent
- Campaigns relating to the Intent
- Flippant Reference to the Intent
- Information or Support for the Intent
- Memorial or Condolence for the Intent
- Reporting of the Intent
- None of the above
Phrases that clinicians indicate are Evidence of possible Intent are added to the SISDA phrase list.
A sincere thank you to all clinicians,users and supporters whose gratis work enables SISDA to be free at the point of use, and technically & clinically fit for purpose.
- Paul: Risk stratification
- Geraldine: Clinical Lead
- Sam: Child Language lead
- Tony: Adult English Language lead
- David: Adult Welsh Language Lead
- Atia, General Practice
- Tom, Child and Young Peoples Mental Health
- Anne, Child and Young Peoples Mental Health
- Ruth, Adult Mental Health
- James: Mental health innovation
- Jimmy: NHS care text service design
- Victoria: Advocate of user centred design
- Ross: Mental Service Commisioner
- Fola: Digital transformation
- Deborah: Commissioning policy
- Andrea: Safeguarding and social care
- Phil, innovation health care
- Tom, innovation in health care
- Marcus: open source publishing
- Dean: academic digital innovation
- Pete: academic NLP research
- John: academic NLP research
- Jon: academic social science research