Ian Leslie (@mrianleslie)

Seb Krier의 'deep explainer' LLM 분석을 소개하며, 데리다(Derrida)와 라캉(Lacan) 등 포스트구조주의 주체론과 유사하지 않느냐고 묻는 트윗입니다. LLM의 설명 방식과 인간 주체 개념을 철학 이론과 연결해 해석하려는 논의입니다.

https://x.com/mrianleslie/status/2020591635613044886

#llm #explainability #nlp #philosophy

Giải thích (explainability) không chỉ là tính năng kỹ thuật mà còn là yếu tố thiết yếu cho admin, bộ phận hỗ trợ và vận hành. Khi hệ thống ẩn lý do, họ phải tốn thời gian giải quyết ticket, làm việc ngoài giờ và đối mặt với burnout. Độ mờ gây kéo dài tổ chức, tăng chi phí kỹ thuật và gây stress. Hãy biến explainability thành tính năng sản phẩm để giảm gánh nặng. #Explainability #ProductFeature #Developer #GiảiThích #TínhNăngSảnPhẩm #CôngNghệ #QuảnLý #ThiếtKếPhầnMềm

https://www.reddit.com/r/prog

fly51fly (@fly51fly)

대규모 추론 모델들 간에 설명(explanations)이 일반화되는지를 연구한 최신 논문입니다. 저자(K Pal, D Bau, C Singh)는 다양한 대형 추론 모델에서 설명의 전이 가능성과 한계, 모델별 차이를 분석해 설명기법의 범용성 및 해석 가능성 연구에 대한 실험적 증거를 제공합니다. arXiv 공개(2026).

https://x.com/fly51fly/status/2013367471802085861

#explainability #reasoning #arxiv #interpretability

Công cụ như n8n phát triển rất nhanh, nhưng nếu không thể giải thích được, tốc độ đó sẽ trở thành nợ kỹ thuật.

#n8n #Automation #TechnicalDebt #SoftwareEngineering #Explainability #TựĐộngHóa #NợKỹThuật #KỹThuậtPhầnMềm #TínhGiảiThích

https://www.reddit.com/r/programming/comments/1qcpor9/n8n_feels_fast_until_you_need_to_explain_it/

Alongside my colleagues, Associate Professor Francis Tyers from Indiana University Bloomington and E.M. L., from Mozilla Data Collective, we're delighted to be presenting a Special Session at Interspeech 2026 in Sydney in September 2026 on:

Safeguarding Synthetic #Speech: Ethical, Technical and Legal perspectives

You can see the Special Session website at:

https://safeguardingsyntheticspeech.org/

---

There are some outstanding Special Sessions this year, and I've taken the liberty of listing them - and their organisers. Do consider submitting to the #CfP - it's rare that #Interspeech makes it to Australia and we all want to make the most of it.

#Indigenous voices in Speech Sciences and Technology

Website at: https://indigenousvoicesinterspeech.github.io/

Brought to you by Dr. Cat Kutay, Prof. Janet Wiles, A/Prof Celeste Rodríguez Louro, Dr. Ben Hutchinson, and Daan van Esch

ECT-SpeechAI: #Explainability for #Compliance and #Trust in Speech AI

Website at: https://sites.google.com/view/ect-speechai2026

Brought to you by Dr. Xiaoliang Wu, Sarah Kiden, Poppy Welch, Assistant Professor Sneha Das, Assistant Professor Zhengjun Yue, Dr. Sarenne Wallbridge, Assistant Professor Jennifer Williams, PhD

Challenges in Speech Data Collection, Curation and Annotation

Website at: https://sites.google.com/view/speech-data-cca/home

Brought to you by Mostafa Shahin, Tunde Szalay, Thomas Schaaf, Ahmed Ali, Jingyao (Jennifer) Wu, Mengyue Wu, Professor Tan Lee, Professor Mark Liberman, Professor Carlos Busso, A/Prof Beena Ahmed

Post-Training of Speech Foundation Models

Website at: https://sites.google.com/view/ptsfm

Brought to you by Yang Xiao, Xiangyu Zhang, Ziyang Ma, Siyi Wang, Jiaheng Dong, Professor Eng Siong Chng, Dr Ting Dang

CHILDSPACE: Child Home Interaction and Language Dynamics: Speech, Psychology, Affect, Computation and Environments

Website at: https://sites.google.com/view/childspace-interspeech-2026/home

Brought to you by Dr Kaveri Sheth, Dr Alejandrina Cristia, A/Prof Beena Ahmed, Assistant Professor Meg Cychosz, Dr Ting Dang, Kaya de Barbaro, Professor Carol Espy-Wilson, Rebecca Holt, Professor Herman Kamper, Marvin Lavechin, Assistant Professor Jialu Li, Ph.D., Professor Okko Rasanen, Professor Odette Scharenborg, Mostafa Shahin.

Pacific Voices 2026: Speech Science and Technology for Languages of the Pacific Ocean

Website at: https://speechresearch.auckland.ac.nz/events/pacificvoices2026/

Brought to you by: Associate Professor Peter Keegan, Dr Jesin James, Dr Isabella Shields, Dr Satwinder Singh, Dr Rolando Coto-Solano.

Queer and Trans Speech Science and Technology

Website at: https://sites.google.com/view/is-queer-trans/home

Brought to you by: Robin Netzorg, Nina Markl, Cliodhna Hughes, Juliana Francis, Francisca Pessanha.

Speech AI for All: Challenging Deficit-based approaches to Speech Science and Technology

Website at: https://sites.google.com/aimpower.org/speechai4all-at-interspeech/home

#SpeakingTogether

Hackers meet physicists common-sense cyber resilience in action. Quick playbooks and auditable experiments boost security. #cybersecurity #explainability #reproducibility https://redoracle.com/News/“Hacker-and-Physicist-A-Tale-of-Common-Sense-in-Cybersecurity”.html

Chain-of-Thought Is Not Explainability https://papers-pdfs.assets.alphaxiv.org/2025.02v1.pdf #AI #reasoning #explainability

Chain-of-Thought Is Not Explainability https://papers-pdfs.assets.alphaxiv.org/2025.02v1.pdf #AI #reasoning #explainability

1/ 🧵 O czym jest ten wątek? Przedstawiamy nowe badanie „Chain-of-Thought Is Not Explainability”. Sprawdzamy, czy popularna dziś technika „chain-of-thought” faktycznie sprawia, że AI staje się bardziej zrozumiałe. #AI #Explainability

Deadline for poster submission to the @NFDI4DS AIKG-SD 2025 #SummerSchool has been extended!

Join a vibrant #AI and #DataScience community, early-stage researchers to experts from diverse academic disciplines, all welcome.

Discussion including topics around Sustainable Societies, from CO2 emissions to social #transparency and #explainability

It will be awesome! Join us in Leuphana University of Lüneburg 23-24.September.2025

👉 https://sites.google.com/view/aikg-sd-2025/home/call-for-participation

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

#research #geolocation #explainability

#AI #interpretability vs #explainability 🧵

"The explanations themselves can be difficult to convey to nonexperts, such as end users and line-of-business teams" https://www.techtarget.com/searchenterpriseai/feature/Interpretability-vs-explainability-in-AI-and-machine-learning

#AIEthics #compliance #taxonomy #ethicalAI #AIEvaluation #linearRegression #trust #neuralNetworks #ML #governance #AIgovernance #safety #bias

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

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

"Feature importance helps in understanding which features contribute most to the prediction"

A few lines with #sklearn: https://mljourney.com/sklearn-linear-regression-feature-importance/

#interpretability #explainability #AIethics #compliance #taxonomy #ethicalAI #AIevaluation #linearRegression #featureEngineering

@datadon

"The following sections discuss several state-of-the-art interpretable and explainable #ML methods. The selection of works does not comprise an exhaustive survey of the literature. Instead, it is meant to illustrate the commonest properties and inductive biases behind interpretable models and [black-box] explanation methods using concrete instances."
https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.1493#widm1493-sec-0010-title 🧵

#interpretability #explainability #aiethics #compliance #taxonomy #ethicalai #aievaluation #linearRegression

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

#aiethics #compliance #taxonomy #ethicalai #aievaluation

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/

Found my way Vilnius looking forward to an engaging and fun week @ECMLPKDD
'24 and at workshop on interpretable #ML & #AI to be take place this monday #AIMLAI #xai #interpretability #explainability

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 😟