Today at 14h I'll participate at the EBU VERA AI (@veraai) training workshop, where I'll briefly explain and show our geolocation explainability tool. A shared presentation with Olga Papadopoulou from CERTH.
You can register freely: https://ebu-ch.zoom.us/meeting/register/scPF_ewLQMWjVzN1s5c0fQ#/registration

Liquid AI Is Redesigning the Neural Network https://www.wired.com/story/liquid-ai-redesigning-neural-network/ #AI #energyEfficiency #privacy #explainability (looks promising)

Model "#interpretability and [black-box] #explainability, although not necessary in many straightforward applications, become instrumental when the problem definition is incomplete and in the presence of additional desiderata, such as trust, causality, or fairness."

https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.1493

Kolmogorov-Arnold networks are a promising step towards #explainability vs multilayer perceptrons (at least for certain kinds of problems)

#ai #neuralnetworks #artificialintelligence

https://www.quantamagazine.org/novel-architecture-makes-neural-networks-more-understandable-20240911/

It's been cool to be part of the #IJDH issue on #reproducibility and #explainability.

But my reservations regarding the publishing model are being confirmed:

There is a clear relationship between access modality and number of accesses (see barchart). The #openaccess articles (paid via individual APC or read and publish agreement) have many more accesses per month than the #closed access articles (no payment required), so far.

Open access advantage
Rich country advantage

#Explainability #Interpretability #Observability #MachineLearning

These are terms commonly used to describe the transparency of a model, but what do they really mean?

https://towardsdatascience.com/explainability-interpretability-and-observability-in-machine-learning-515a2ac8234a

@samuelwong.bsky.social

HT #ITOPs by @Sageable @bluesky -- https://bit.ly/BSky-ITOps

#Explainability #Interpretability #Observability #MachineLearning

These are terms commonly used to describe the transparency of a model, but what do they really mean?

https://towardsdatascience.com/explainability-interpretability-and-observability-in-machine-learning-515a2ac8234a

@samuelwong.bsky.social

HT #ITOPs by @Sageable @bluesky -- https://bit.ly/BSky-ITOps

Mapping the Mind of a Large Language Model https://www.anthropic.com/research/mapping-mind-language-model #AI #interpretability #explainability #Anthropic

National Deep Inference Fabric https://ndif.us/ #AI #research #explainability

'Towards Explainable Evaluation Metrics for Machine Translation', by Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger.

http://jmlr.org/papers/v25/22-0416.html

#explainability #generative #translation

Somebody tell this guy about trying to test #quality into a product. SMH.

I wonder how he'll feel about the lack of #explainability if he ever gets wrongfully arrested and convicted based on a false positive, and his challenge being dismissed because we can't explain how the #AI #algorithm works in the first place yet still trust its output.

#QA
https://www.forbes.com/sites/jamesbroughel/2024/04/13/artificial-intelligence-explainability-is-overrated/

Andreas Malm: “Sabotage has to be precise”

The Berliner, 2022, https://www.the-berliner.com/politics/andreas-malm-sabotage-has-to-be-precise-how-to-blow-up-a-pipeline-nord-stream-2-interview/ @climate@a.gup.pe @climate@slrpnk.net

Large language models use a surprisingly simple mechanism to retrieve some stored knowledge https://news.mit.edu/2024/large-language-models-use-surprisingly-simple-mechanism-retrieve-stored-knowledge-0325 #AI #explainability