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DKRZ-AIM / HAI-HI-unconference-2023

Topic collection for the Unconference at the Helmholtz AI/Helmholtz Imaging conference joint day, June 14, 2023, Hamburg
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Explainable AI (XAI) – When do we blindly trust in AI? #3

Open MiriMary opened 1 year ago

MiriMary commented 1 year ago

Description

Interdisciplinary exchange on XAI with AI experts and enthusiasts from Arts, Ethics, Science, Technology and other fields of Society. In this session we will focus on “Explainable AI” and related topics in various fields of study and practice. We will explore questions of trust and understanding regarding AI decisions.

*Question to be addressed How may AI generated results be interpreted and put to further use? Which level of understanding is necessary to work with AI? How can we make AI decisions plausible? Does every AI need to be explainable in the first place? How is plausibility connected to the concept of trust? …

*Final outcome With this interdisciplinary encounter we aim to analyse the state-of-art XAI frameworks and discover irritations and chances of XAI. We look forward to your questions and experience sharing and hope for a lively discussion.

Additional information here

Organizational

Organizer(s):

Jari Niesner, theater director and artist [jari@artes-jari.de] DESY, Helmholtz Imaging, DASHH, CDCS: Klaus Ehret [klaus.ehret@desy.de] Miriam Huckschlag [miriam.huckschlag@desy.de] @MiriMary Katharina Kriegel [katharina.kriegel@helmholtz-imaging.de] Katja Kroschewski [katja.kroschewski@desy.de] Knut Sander [[knut.sander@helmholtz-imaging.de]

If you have questions or further ideas, please contact us.

Participants

Jari Niesner: moderation and introduction into the discussion, theater director and artist https://artes-jari.de/

Timo Freisesleben, Ludwig-Maximilian University LMU, Munich: Ethics of AI, Ethics of AI, Philosophy of Science, Machine Learning, Decision Theory, Probability Theory, Logic, Algebra personal website

Gregory Beller, University for Music an Theatre HfMT, Hamburg, IRCAM Forum – Centre Georges Pompidou: musician, composer, sound artist, researcher, computer designer for contemporary arts, generative models for expressivity and their applications for speech and music personal website

Anissa Tavara, University for Fine Arts HfBK, Hamburg: Artist, Media installations, interested in AI

Matthias Komm, DESY, Particle Physics, fellow at the CMS Experiment, Top Physics, Searches, Machine Learning, HGCAL, Interested in usage of AI on High Energy Physics data & related problems

Joachim Kalb, former Lufthansa Technik director, interested in AI

Format

open discussion Every active participant has the opportunity to present their work in a short impromptu speech with the help of a digital visual presentation, at the flip chart or just vocally. The interdisciplinary exchange will benefit from the diverse expertise and experience of all participants.

Timeframe

3 h 2pm-5pm starting after the opening session

Number of participants

12-15 active participants, from various backgrounds

Listeners are also welcome

SusanneWenzel commented 1 year ago

@MiriMary Would you need a screen? We have a few available, but possibly not for each session. Flipchart will be available

lukaskln commented 1 year ago

We are outside on the right behind the Carousel

SusanneWenzel commented 1 year ago

@MiriMary if possible, please make a note here on the (rough) number of participants. Also don't forget to make a note here about the outcome of the session and, if applicable, future plans that came out of this session.

MiriMary commented 1 year ago

Now 12 people. Before inthe beginning 25.    

-----Original Message-----

From: Susanne @.> To: DKRZ-AIM @.> Cc: MiriMary @.>; Mention @.> Date: Wednesday, 14 June 2023 3:31 PM CEST Subject: Re: [DKRZ-AIM/HAI-HI-unconference-2023] Explainable AI (XAI) – When do we blindly trust in AI? (Issue #3)

  @MiriMary if possible, please make a note here on the (rough) number of participants. Also don't forget to make a note here about the outcome of the session and, if applicable, future plans that came out of this session. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>