#explainability — Public Fediverse posts

AI Governance по‑инженерному: что должен знать архитектор

Представьте: вы запускаете генеративную AI‑фичу в проде. Всё работает как часы. А через месяц получаете иск, потому что ваша модель насоветовала клиентам того, чего не существует в реальных политиках компании. В статье разберем ключевые тренды AI Governance в 2026 году, которые помогают не просто избежать судов и штрафов, а выстроить систему контроля над недетерминированным поведением моделей. Изучить подход

https://habr.com/ru/companies/otus/articles/1022174/

#AI_Governance #управление_ИИ #безопасность_AIсистем #LLM #архитектура_AIпродукта #Model_Risk_Management #governanceascode #explainability #guardrails #риски_ИИ

Почему одна запись может изменить KPI: разложение агрегированных метрик на вклад отдельных событий

Меня зовут Иван Васильев, я ведущий аналитик в Ви.Tech, IT-дочке ВсеИнструменты.ру. Хочу показать, как из на первый взгляд простой формулы KPI выросла инженерная задача: нам нужно было не просто посчитать интегральный показатель эффективности поставщика, а объяснить, какая именно закупка его ухудшила и почему. В статье разберу, почему для агрегированных метрик не работает наивный подход, как мы пришли к remove-one analysis и где пришлось отдельно фиксировать логику расчета, чтобы результат вообще можно было интерпретировать. В одной из систем, над которой я работаю, мы рассчитываем интегральный показатель эффективности поставщика. Сначала задача казалась очень простой: несколько метрик, несколько весов, обычная агрегированная формула. Но однажды бизнес задал вопрос: | Почему показатель поставщика снизился? Ответить на него можно было бы общими словами. Но затем появился уточняющий вопрос: | А какая именно закупка ухудшила показатель? И в этот момент простая аналитическая задача внезапно превратилась в интересную инженерную проблему: с агрегированными метриками, нелинейными функциями и неожиданными эффектами, которые больше похожи на задачи из дискретной математики, чем на обычный backend.

https://habr.com/ru/articles/1019170/

#KPI #explainable_KPI #агрегированные_метрики #removeone_analysis #sensitivity_analysis #вклад_записи #explainability #backend

Next: a presentation on #explainability of autonomous navigation systems. Research supervised by @jaom7

Steerling-8B, a language model that can explain any token it generates

https://www.guidelabs.ai/post/steerling-8b-base-model-release/

#HackerNews #Steerling8B #LanguageModel #AI #Explainability #TokenGeneration

Steerling-8B, a language model that can explain any token it generates

https://www.guidelabs.ai/post/steerling-8b-base-model-release/

#HackerNews #Steerling8B #LanguageModel #AI #Explainability #TokenGeneration

If #AI agents can interpret intent and execute #workflows autonomously, what makes them trustworthy? Accuracy isn’t enough. #Transparency isn’t enough. So what is?

This piece explores why #explainability must move from feature to infrastructure — and what that means for design.

https://www.designative.info/2026/02/20/designing-for-explainability-from-interrogability-to-intent-alignment/

If #AI agents can interpret intent and execute #workflows autonomously, what makes them trustworthy? Accuracy isn’t enough. #Transparency isn’t enough. So what is?

This piece explores why #explainability must move from feature to infrastructure — and what that means for design.

https://www.designative.info/2026/02/20/designing-for-explainability-from-interrogability-to-intent-alignment/

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

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

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

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

#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

#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

"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

"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

@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

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

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 😟

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

#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

'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

'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

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/ @[email protected] @[email protected]

#infrastructures #Berlin #NordStream2 #vandalism #climateCatastrophe #climateChange #LNG #oilAndGas #energy #sabotage #AndreasMalm #Malm #activism #climateAction #feelGood #violence #property #MoralBeauty #museums #paintings #anger #strikes #protests #rootCause #EndeGelände #accountability #ExtinctionRebellion #XR #policeViolence #ethics #racialProfiling #stateRacism #struggle #armedStruggle #ecoTerrorism #TheLeft #leftWing #leftPolitics #resistance #mitigation #greenPolitics #Greens #conservation #environmentalists #explainability #militancy #spectacle #blockades #Liberals #BC #CoastalGasLinkPipeline #globalWarming #radicalization #terrorists #deterrence #deterrent #finance #investment

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/ @[email protected] @[email protected]

#infrastructures #Berlin #NordStream2 #vandalism #climateCatastrophe #climateChange #LNG #oilAndGas #energy #sabotage #AndreasMalm #Malm #activism #climateAction #feelGood #violence #property #MoralBeauty #museums #paintings #anger #strikes #protests #rootCause #EndeGelände #accountability #ExtinctionRebellion #XR #policeViolence #ethics #racialProfiling #stateRacism #struggle #armedStruggle #ecoTerrorism #TheLeft #leftWing #leftPolitics #resistance #mitigation #greenPolitics #Greens #conservation #environmentalists #explainability #militancy #spectacle #blockades #Liberals #BC #CoastalGasLinkPipeline #globalWarming #radicalization #terrorists #deterrence #deterrent #finance #investment

Slow, but steady progress on starting to get a handle on how neural networks internally represent concepts

#AI #explainability #ArtificialIntelligence #NeuralNetworks
https://www.astralcodexten.com/p/god-help-us-lets-try-to-understand

We will delve into the intricacies of "#explainability", a concept that has ignited fervent discussions within the realm of #AI and its application in #medicine.


While the potential for enhancing healthcare through AI is vast, we must also grapple with the unique characteristics of this technology.

We will address the question of whether AI explainability in healthcare is necessary, while also exploring its relationship with safety and trust.


SPEAKERS:

👉Eric Topol is the founder and director of the Scripps Research Translational Institute, professor of Molecular Medicine and Executive Vice President of Scripps Research.

He has published over 1,200 peer-reviewed articles, with more than 300,000 citations, and has been elected to the National Academy of Medicine. His principal scientific focus has been on individualized medicine using genomic, digital and AI tools.

He authored three bestseller books on the future of medicine: The Creative Destruction of Medicine, The Patient Will See You Now, and Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. 
Eric Topol is one of the top 10 most cited researchers in medicine.

👉Yann LeCun is VP & Chief AI Scientist at Meta and Silver Professor at NYU affiliated with the Courant Institute of Mathematical Sciences & the Center for Data Science.

He was the founding Director of FAIR and of the NYU Center for Data Science. 

He received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Université.

He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing", a member of the National Academy of Sciences, the National Academy of Engineering, the French Académie des Sciences.

Yann LeCun is considered one of the three Godfathers of AI. 


👉Alexandre Lebrun is a serial entrepreneur, having created multiple ventures in the AI space for the last 20 years.

Before Nabla, Alex led engineering for Facebook AI Research.

He joined Facebook through their acquisition of Wit.ai, an AI platform he cofounded in 2013. Wit.ai is a natural language processing (NLP) API that allows developers to integrate intelligent, conversational capabilities into their applications. 

Prior to Wit.ai, Alex was the founder and CEO of VirtuOz, “Siri for the Enterprise” virtual agents, acquired by Nuance Communications in 2013.

https://www.linkedin.com/events/aiinhealthcare-theexplainabilit7130919008286957571/

2nd Day keynote of #iswc2023 is Deborah McGuiness presenting "Semantic Web Research in the Age of Generative Artificial Intelligence; Semantic Web Renaissance?" - Yes, with #llms and #generativeAI we are about to enter a period of Renaissance of #semanticweb technologies, (rising again from Gardner's trough of disilusionment) an incredible time of beauty, blossoming with creativity and curiosity... - But we have to move on it!
#knowledgegraphs #ai #renaissance #explainability

This has been years in the making, since around 2016 (!), and finally the paper has been published in #IJDH: "Repetitive research: a conceptual space and #terminology of #replication, #reproduction, revision, reanalysis, reinvestigation and reuse in digital humanities". See here: https://doi.org/10.1007/s42803-023-00073-y It's part of a collection on #reproducibility and #explainability in #DigitalHumanities: https://link.springer.com/collections/becggdhbad

#openscience #openaccess #theory #dh

If you want to know more about @ebertini et al's "SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level" @ieeevis you can find a video presentation here: https://youtu.be/RKgLgoAm20E and learn more here: https://ieeexplore.ieee.org/document/9861728

#IEEEVIS #Analytics #Explainability #DataScience #Visualization #XAI