✈️ "RPAS and AI in Aviation" conference - videostory now online!🎬 This event brought together six @SESAR_JU exploratory reserch projects that researched much promising #aviation topics: #drones and #ArtificialIntelligence.
#RPASintegration #AI #XAI
youtube.com/watch?v=DVA9Z99H…
INVIRCAT Project retweeted
✨Last month was busy in disseminating the #SAFELAND results‼️
Here’s a wrap-up of our Final Dissemination event, hosted at the 12th @EASN_Conference at Barcelona!
👉Download all the given presentations and take a look at our photo gallery here: bitly.ws/x5qw
👏🏼The "RPAS and AI in aviation" conference has officially concluded!
🤝It's been a great opportunity to network, have a visual overview of the projects and share knowledge for researchers, experts and people who are curious about these fields. Thanks for participating!
@SESAR_JU
📌 The last project of the day is @ArtimationAI, which worked on algorithm #transparency within the conflict resolution framework.
It's time for #ARTIMATION!
It will be presented by @TofHurter (@enacfrance) who will highlight the different kind of #visualization techniques studied to represent #AI outcomes.
We leave the floor to the second project of the day, @H2020_MAHALO 👇🏼
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☕ Coffee Break!
It is time to take a quick look at the demonstration stations. Here each project can show the results of their research.
🍪 But first let’s have a snack!
The first project of the day is #SafeOPS which will be presented by Lukas Beller from @TU_Muenchen.
He will highlight the outcomes of the project, focusing on how they evaluated an #AI based decision support for making complex decisions in the context of go-arounds.
#ATCOs #ML
"The challenges are many, from coping with increased traffic, to operate in adverse weather because of climate change or to design operator-centred technologies...
The right mindset should be: “Do we really need it?”
Avoid creating #AI just because it is fancy, but useless."
😅Highlighted results:
"It is interesting that some suggestions coming from the public are related to non-critical cases, that means we are not completely trusting #AI in those environments. Basically, we want an AI that solves problems and does not bring other problems itself."
"The missing ring between research and deployment in society is regulation. But: what should we regulate?
Regulation intends to regulate the output of the #ML procedure, not the algorithm itself. We need to create a “safe box”."







