type:: [[meeting]] external-links:: tags:: [[PROJECTS/PRIN-EMELIOT]] people:: date:: [[25-01-2023]] - 14:36 isconsortium:: true location:: Benevento - # Agenda - 13:00-14:00 - Pranzo - **14:00-14:15 - Welcome, Intro (Max + Leo)** - **14:15-16:00 - S1: Fairness** - Fabio (Unisa) - Giordano (Univaq) - Open discussion: dataset/benchmark per studi su fairness, applicazioni su IoT/chatbots - 16.00-16:30 Coffee break - **16:30-18:00 - S2: Infrastructure and V&V** - Felicien - IoT (Univaq) - Fault tree analysis (Unimib, collaboration with Univaq) - Dario - MLOps (Unisannio) - Open discussion: fault models for ML-Intensive IoT systems V&V di ML-intensive IoT systems - 19:30- Social dinner - Ristorante Roseto all’Arco - Via Arco Traiano 65, Benevento - - ## Fabio (Unisa) collapsed:: true - ![image.png](../assets/image_1674653786031_0.png) - ![image.png](../assets/image_1674653888809_0.png) - Fairness is context dependent id:: 64459a38-5ae9-4b14-9942-dadf66e8416a - ![image.png](../assets/image_1674653921960_0.png){:height 99, :width 519} - Fairness is difficult to handle - ![image.png](../assets/image_1674653952462_0.png) - ![image.png](../assets/image_1674654027056_0.png) - ![image.png](../assets/image_1674654101321_0.png) - Fairness with an MLOps workflow - Mapping study - Validate the identified practices with practitioners - ![image.png](../assets/image_1674654180358_0.png) - Identied fairness practices - Le pratiche di fairness riguardano applicazioni di machine learning in diversi ambiti non necessariamente in ambito software development - Esempio di practiche - ![image.png](../assets/image_1674654339989_0.png) - Contesto software engineering - ![Screenshot_20230125_144606.png](../assets/Screenshot_20230125_144606_1682509465362_0.png) - - - Contesto ML - - ![image.png](../assets/image_1674654844982_0.png) - - ## Giordano (Univaq) collapsed:: true - ![image.png](../assets/image_1674655721718_0.png) - ![image.png](../assets/image_1674655746329_0.png) - ![image.png](../assets/image_1674655771812_0.png) - ![image.png](../assets/image_1674655841488_0.png) - ![image.png](../assets/image_1674655964885_0.png) - ![image.png](../assets/image_1674656022292_0.png) - ![image.png](../assets/image_1674656824551_0.png) - ![image.png](../assets/image_1674656842175_0.png) - - ## Felicien (Univaq) - [CHESSIoTMBSA.mp4 - Google Drive](https://drive.google.com/file/d/1M6fTsz7-8S4Khe-FAh1Xf4FR0EW6Kde-/view) - ## Dario - ![image.png](../assets/image_1674665240261_0.png) - ![image.png](../assets/image_1674665357123_0.png) - ![image.png](../assets/image_1674665502392_0.png) id:: 63d15d8e-aa2b-48e5-8d42-f16974d535fc - ![image.png](../assets/image_1674665532208_0.png) - ![image.png](../assets/image_1674665583709_0.png) - Different kinds of [[PIPELINES]] - ![image.png](../assets/image_1674665826909_0.png){:height 313, :width 519} - ![image.png](../assets/image_1674665913095_0.png) - Platform and Infrastructure layers are impacted by the fact that we have to manage [[PIPELINES]] - -