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  1. Prikvačeni tweet
    10. pro 2019.

    Excited that our paper on how various explainability algorithms are used in practice () was accepted to 🎉

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  2. 1. velj

    Love-hate relationship with Barcelona. PROs: experiencing a mix of urban grunge and rich Spanish history was refreshing; plus was lovely CONs: my laptop bag (and its contents) found a new home, thanks to ladrones. I hope the new owners enjoy my (ex-)machine 😭

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  3. proslijedio/la je Tweet
    30. sij

    One of my favorite talks at by summarizing the state of explainable machine learning boldly. Paper:

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  4. proslijedio/la je Tweet
    30. sij

    Fantastic work by and co. on explainability here at . Can’t wait to dive deeper into this!

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  5. proslijedio/la je Tweet
    30. sij

    explainability is mainly used for internal debugging, its goals are not clearly defined, and it has serious technical limitations. 'we suggest everyone cast doubt on those who are claiming to work with explainability technologies' at

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  6. proslijedio/la je Tweet
    30. sij

    ⁩ presenting recent work at FAT*

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  7. proslijedio/la je Tweet
    30. sij

    PAI research reveals that, in practice, machine learning explainability techniques fall short of transparency goals (). Presenting at in the Plenary room at 11:20 today, & will discuss key findings:

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  8. 27. sij

    Nice to see LinkedIn using fair rank aggregation in search and deploying feature importance explanations for engineers during model selection; h/t in the tutorial

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  9. 26. sij

    Please let me know if you're in town and want to connect: currently interested in all things explainability, uncertainty, and robustness

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  10. 26. sij

    Will be talking about our paper with on XAI in deployment ()

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  11. 26. sij

    Looking forward to a fun, productive week in Barcelona for the

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  12. 24. sij

    Gave a huge shoutout to , his policy work, and their joint exciting work on counterfactual datasets from human-in-the-loop learning 💪🏽

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  13. 24. sij

    **sarcastically** “we should use convnets to detect pneumonia in chest X-rays since ofc deep learning sees 20/20” 😬

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  14. 24. sij
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  15. 20. sij

    Missing the @ideofutures podcast today 😕 "Don't get ready, get started... Peace"

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  16. proslijedio/la je Tweet
    19. pro 2019.

    Christopher Nolan has to begin every decade with a mind-fuck feature film. 2000: Memento 2010: Inception 2020: Tenet

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  17. proslijedio/la je Tweet
    19. pro 2019.

    Unprompted ideation is possible, but unnecessarily difficult. It’s usually better to read a broad selection of others’ work and synthesize new ideas from there. Enriched thoughts, more ideas.

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  18. proslijedio/la je Tweet
    15. pro 2019.

    Just out now - me and wrote about ABOUT ML, a project looking to pull together the current disparate efforts to move towards inclusive and complete documentation requirements for ML model design, development & deployment.

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  19. 13. pro 2019.

    . vehemently urging us not to forget ML is full of value-laden decisions, just like other disciplines — remember this while trying to build human-centric, “intelligible” systems 🔥

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  20. 10. pro 2019.

    Even more thrilled since this is my first paper since joining as a doctoral student and joining as a research fellow 😃

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  21. 10. pro 2019.

    I'm also at in Vancouver this week if you want to discuss explainability, fairness, and human-AI teams. Feel free to reach out! I'll be presenting a subset of this as a poster at the workshop on Friday (Dec. 13) in West Level 2, Room 223-224

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