AI Ethics is the Ethics of training AI models.

Iteration of Healthcare System

digital structure => configuration => activities or processes => outcomes => more structures

• EHR
• decision support systems

Technology in general is becoming safer over time => ideally, some form of high level safety is achieved.

important: define a shared vocabulary between technologists and clinicians

Technology-Induced Errors

Though EHS can serve to reduce medical errors, it can work in increase errors as well.

• bias
• ignorance of environmental factors
• Error reporting + incident reporting

Resolution

• get rid of each problem
• help establish well-configured systems which could promote safety
• patient simulation with clinician + technology to see how it fits into process of care
• what could that look like from a home health-care perspective

The BIG NEW THING in AI research. Because normal results for seq2sseq is already doing very well. Slightly more realistic models of language acquisition.

“Linguistics is not just about human languages”: humans, animals, and machines.

BIG AGI What: question is the difference between a dumb human and GPT?

Speech is Based for Interoperability

• continuous data (as opposed to text)
• much less complex with vision: vision is more complex
• speech is a nice controllable system (????)

Models of Language Acquisition

https://arxiv.org/pdf/2309.07861.pdf

A lecture hosted by Cynthia Lee.

“AI: how it works & why its often so biased”

Defining Artificial Intelligence.