#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

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

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

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

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

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

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

I’ve put together **Arclight**: 12 small Rust ARC cases that don’t just give an answer, but also explain **why** and **check** themselves.

It’s a compact collection of self-explaining, fail-loud programs — useful for demos, teaching, and experimenting with the ARC approach.

https://github.com/josd/arclight

#rustlang #programming #reasoning #explainability

I’ve put together **Arclight**: 12 small Rust ARC cases that don’t just give an answer, but also explain **why** and **check** themselves.

It’s a compact collection of self-explaining, fail-loud programs — useful for demos, teaching, and experimenting with the ARC approach.

https://github.com/josd/arclight

#rustlang #programming #reasoning #explainability

I’ve put together **Arclight**: 12 small Rust ARC cases that don’t just give an answer, but also explain **why** and **check** themselves.

It’s a compact collection of self-explaining, fail-loud programs — useful for demos, teaching, and experimenting with the ARC approach.

https://github.com/josd/arclight

#rustlang #programming #reasoning #explainability

I’ve put together **Arclight**: 12 small Rust ARC cases that don’t just give an answer, but also explain **why** and **check** themselves.

It’s a compact collection of self-explaining, fail-loud programs — useful for demos, teaching, and experimenting with the ARC approach.

https://github.com/josd/arclight

#rustlang #programming #reasoning #explainability

I’ve put together **Arclight**: 12 small Rust ARC cases that don’t just give an answer, but also explain **why** and **check** themselves.

It’s a compact collection of self-explaining, fail-loud programs — useful for demos, teaching, and experimenting with the ARC approach.

https://github.com/josd/arclight

#rustlang #programming #reasoning #explainability

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

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

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

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

https://www.europesays.com/ie/375764/ Improving AI models’ ability to explain their predictions | MIT News #AI #AntonioDeSantis #ArtificialIntelligence #ArtificialIntelligence #ComputerVisionModels #ConceptBottleneckModels #Éire #explainability #IE #interpretability #Ireland #LalanaKagal #Technology

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

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

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/

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/

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/

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

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

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

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

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

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

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

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

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

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

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

#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