Timeline for How to exercise Quality Assurance Engineering principles to Artificial Intelligence systems?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 7, 2022 at 20:35 | vote | accept | George Pligoropoulos | ||
| Jul 5, 2022 at 7:07 | comment | added | Nicolas Martin | I don't know. I've proposed this topic because it is connected to value, and high-valued products have high quality. It's like continuous improvement: a high-quality product shall ease the modification by clear comments and an agile structure because a model often evolves in long-term projects. The quest for improvement and profit is highly connected to quality, but I'm not sure if they are quality criteria. | |
| Jul 4, 2022 at 22:56 | comment | added | George Pligoropoulos | Thanks @NicolasMartin. I guess profitability is just one specific metric or business goal. Alternatively another company could focus a lot on user engagement and think of profitability as a side-effect of the user engagement with the digital product. Isn't thus always depended on the outlined business goals ? | |
| Jul 2, 2022 at 16:30 | comment | added | Nicolas Martin | I suggest one additional point but it depends on the field: Profitability. It is linked to performance and the other points, but I think it is crucial, as it defines the whole viability of a project. Many businesses applying AIAAS must have profitable AIs. | |
| Jun 27, 2022 at 18:48 | history | answered | George Pligoropoulos | CC BY-SA 4.0 |