Samenvatting van het vak: Tools en AI in management en communicatie van de master Meertalige Professionele Communicatie. De samenvatting bestaat uit een combinatie van de powerpoints uit de les samen met eigen notities. Het bestand is duidelijk gestructureerd per les.
SAMENVATTING
TOOLS EN AI IN
MANAGEMENT
EN COM-
MUNICATIE
Master Meertalige Professionele Communicatie 2023-2024
,Tools en AI Master Meertalige Professionele Communicatie
Inhoudsopgave
Les 1: Inleiding: AI in bedrijfscommunicatie (12/02/2024) ............................................................................ 4
Vak Tools en AI: .................................................................................................................................................... 4
Afspraken ........................................................................................................................................................ 4
Artificiële intelligentie in bedrijfscommunicatie................................................................................................... 5
Terminologie.................................................................................................................................................... 5
AI in bedrijfscommunicatie: functies ............................................................................................................ 10
AI in bedrijfscommunicatie: risico’s en uitdagingen ..................................................................................... 12
AI in bedrijfscommunicatie: onderzoek ........................................................................................................ 15
conclusie........................................................................................................................................................ 18
Les 2: Forummoderatie: automatische detectie van haatspraak (19/02/2024) ............................................. 20
Inleiding.............................................................................................................................................................. 20
Waarom haatspraakdetectie? ....................................................................................................................... 20
Definitie(s) haatspraak....................................................................................................................................... 21
Wat is haatspraak? ........................................................................................................................................ 21
Datasets ............................................................................................................................................................. 23
Datasets voor automatische haatspraakdetectie ......................................................................................... 23
Datasets voor automatische haatspraakdetecties ........................................................................................ 23
Methodes voor automatische haatspraakdetectie ............................................................................................ 24
Resultaten van McAveney ............................................................................................................................. 29
Belangrijkste features.................................................................................................................................... 29
Uitdagingen ................................................................................................................................................... 29
Les 4: Geen les.......................................................................................................................................... 37
,Tools en AI Master Meertalige Professionele Communicatie
Chatbots ............................................................................................................................................................. 42
Taak 1: sociaal converseren ........................................................................................................................... 42
Taak 2: taakgericht converseren ................................................................................................................... 42
Taak 3: heeft een bot een ‘persoonlijkheid’? ................................................................................................ 43
Taak 4: buiten de lijntjes kleuren .................................................................................................................. 43
Taak 5: analyse van taal en gedrag ................................................................................................................ 43
Taak 6: MPC-checklist .................................................................................................................................... 44
Les 6: Gastles: Hans Donckers: Moving up the HR analytics ladder .............................................................. 46
Achtergrond: filosofie......................................................................................................................................... 46
Is that really so? ................................................................................................................................................. 46
The HR tech space ......................................................................................................................................... 47
Analytics: the HR data goldmine ................................................................................................................... 48
Listen: filling the blind data sports ................................................................................................................ 50
Should we do that? ............................................................................................................................................ 51
Do we know the boundaries? Do we have our answers ready? ................................................................... 51
Crossing ethical bounderies? ........................................................................................................................ 52
No black box .................................................................................................................................................. 52
We should want to have AI behave at our best ............................................................................................ 52
les 7: Applying ChatGPT to Multilingual Professional Communication – Dr. Pieter Fivez ............................... 54
1. Artificial Intelligence ................................................................................................................................. 54
Deep Learning: Neural networks (2010s-now .............................................................................................. 54
ChatGPT-4: better at official exams than ChatGPT........................................................................................ 55
GPT-4 Image processing: practical uses ........................................................................................................ 56
GPT 4- image processing: does it understand humor? ................................................................................. 56
GPT 4-image processing: does it understand emotion? ............................................................................... 57
GPT4- societal impact.................................................................................................................................... 57
Dystopian AI? Google musicLM .................................................................................................................... 58
Dystopian AI? Visual reconstruction from fMRI brain imaging ..................................................................... 58
Dystopian AI? Neuralink ................................................................................................................................ 59
Dystopian AI? Text to video (Sora) ................................................................................................................ 59
2. Chat GPT a new era in AI .......................................................................................................................... 59
ChatGPT: a new era in A.I .............................................................................................................................. 59
Chat GPT “The IPhone moment” .................................................................................................................. 60
Chat GPT: What is it? ..................................................................................................................................... 60
Before ‘human allignment’ ........................................................................................................................... 63
3. Concrete use cases in MPC: some suggestiosn......................................................................................... 65
Practical excercises............................................................................................................................................. 66
Les 8: grote taalmodellen en chatGPT bespreking practica .......................................................................... 67
Feedback ............................................................................................................................................................ 67
les 9: GASTCOLLEGE: sentimentanalyse ..................................................................................................... 67
Reputatiemanagement ...................................................................................................................................... 67
Focus op 1 specifieke stakeholder: klanten .................................................................................................. 68
Sentiment- en emotieanalyse ....................................................................................................................... 68
Waarom? ....................................................................................................................................................... 68
Toepassen op verschillende niveaus ............................................................................................................. 69
Demo ............................................................................................................................................................. 69
Crisiscommunicatie ....................................................................................................................................... 70
ALFASent ....................................................................................................................................................... 71
Conclusie ....................................................................................................................................................... 73
2
, Tools en AI Master Meertalige Professionele Communicatie
Les 10: sentimentenanalyse en monitoring ................................................................................................ 74
sentimentanalyse ............................................................................................................................................... 74
Online monitoring .............................................................................................................................................. 74
Casestudy d’Andrea et al. (2019) ....................................................................................................................... 74
Les 11: bespreking practica + examenvragen .............................................................................................. 76
Grote taalmodellen ............................................................................................................................................ 76
ChatGPT ......................................................................................................................................................... 76
Gemini ........................................................................................................................................................... 76
Genereren van mediacontent: ChatGPT en Gemini...................................................................................... 77
Promoplan opstellen ..................................................................................................................................... 77
Creatieve genres met taalmodellen .............................................................................................................. 78
Checklist MPC ................................................................................................................................................ 78
Sentimentanalyse ............................................................................................................................................... 79
Sentiment Demo ........................................................................................................................................... 79
SentEMO ....................................................................................................................................................... 79
Grote taalmodellen ....................................................................................................................................... 79
Conclusie ............................................................................................................................................................ 79
Examenvragen ............................................................................................................................................... 81
3
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller Student19567. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $8.02. You're not tied to anything after your purchase.