Nadja Geisler

@_ngeisler

EN/DE Computer Science, ML/AI, NLP Equality and Diversity CS meet ethics/society studied helped initiated She [en] Sie [de]

Vrijeme pridruživanja: studeni 2019.
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  1. 30. sij

    From to . The conference has changed its name before. The follow-up to will be called ACM (ACM Conference on Fairness, ACCountability and Transparency) and take place in , Canada beginning of 2021.

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  2. 29. sij

    . is there an accessibility guide for speakers? Or another briefing where this is/could be mentioned? There is so much being done for inclusion/diversity (thanks for that), that this should be a good fit :)

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  3. 29. sij

    Hey I'm seeing way too many slides using red/green for semantic elements on slides. With so many people, there are surely those whose understanding will be affected by that! Please choose different color combinations for !

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  4. 29. sij

    "Explicit consent is invalid in matters of employment, as there is a massive power imbalance." at on fully automated hiring systems being (il)legal under the GDPR. Also enjoyed the analogy on importing food over continent borders, opposed to policies.

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  5. 29. sij

    unlocked: Get recognised as a speaker from while abroad. There are obviously some common interests between attendees of and those watching talks 😉 //

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  6. 29. sij

    "I must admit, my reaction to this was probably unpronouncable within the rules of this community!" Never forget, that researchers are just people, too. And remember it's allowed to laugh at scientific conferences :)

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  7. 29. sij

    "We recognize that sexuality and gender are spectrums [...]" When presenting in academia, even if, for reasons like data availability, you have to limit your work/evaluation to a section of reality, take as an example and recognize this defficiency explicitly! Thanks :)

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  8. 28. sij

    Very true-to-life talk on research regarding human trust in robots - and all the biases we bring with us. Thank you! Schöner lebensnaher Vortrag über Forschung zu Vertrauen das Menschen Robotern entgegenbringen - und die Biases, die wir mitbringen. Danke!

    Currently keynoting @fatconference is Prof Ayanna Howard.
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  9. 27. sij

    in Barcelona has begun! If you want to follow along these links are helpful. Working towards more fairness, accountability, and transparency in AI/ML:

    Important conference links: - livestream (Tue onwards): (videos uploaded later) - each session has an Etherpad where Qs for speakers will be captured: (please contribute responsibly and respectfully!) - conference hashtag:
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    10. sij

    Our lab members and talked about the Deep Learning Hype and its consequences and impacts at the . You can find the recording and more information at

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    7. sij

    Wir haben beim mit über Deep Learning gesprochen -- vielen Dank für die interessanten Fragen //

    Deep Learning ist kein Allheilmittel
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  12. proslijedio/la je Tweet
    28. pro 2019.

    Deep Learning ist zum Buzzword geworden. Wenn es um Machine Learning geht, wird immer öfter zu dieser Methode gegriffen. erklären in ihrem Vortrag Sinn und Unsinn von DL.

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  13. proslijedio/la je Tweet
    28. pro 2019.

    Thank you for listening and/or participating at the talk „Der Deep Learning Hype“ in wherever you are! Please be so kind and vote for this talk at . Read you soon(tm)!

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    28. pro 2019.

    I'm at the 36th Chaos Communication Congress in Leipzig and will talk about the Deep Learning Hype and its consequences and impacts together with today at 14:10 in hall Ada. There will be a livestream at

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  15. 28. pro 2019.

    It's almost time! See you in Hall Ada at 2:10 pm. Es ist fast so weit! Wir sehen uns um 14:10 in Saal Ada zum Thema: Der Deep Learning Hype: Wie lange kann es noch so weiter gehen? Zusammen mit !

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    16. pro 2019.

    Deep Learning Hype? Das geht in Saal 1 \o/ //

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  17. 16. pro 2019.

    Wenn, dann richtig! Ich bin zum ersten Mal auf dem Congress, und halte auch gleich einen Vortrag: Der Deep Learning Hype - wie lange können wir so weiter machen? Zusammen mit auf dem Samstag, 14:10 Uhr in Saal Ada (wahrscheinlich) Ich bin gespannt auf euch!

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