ETEG Workshop Series

With an open call for abstracts these annual events offer a space for early career researchers to present their work and get constructive feedback.

ETEG Workshop Series-3
July 28, 2023 (Time Schedule TBA)

Registration is now open!

Please click here to register and receive the Zoom link.

Keynote speaker:  Deborah Johnson (University of Virginia)

The workshop is fully online with an open theme of any topic in philosophy related to the ethics of AI.

The schedule is as follows:

Time (CEST)TalkSpeaker
12:45-13:00Welcome
13:00-13:40Responsibility before freedom: bridging the responsibility gaps for autonomous machinesShervin MirzaeiGhazi and Jakob Stenseke
13:50-14:30May we ever be in a position to tell whether an AI is phenomenally consciousAida Roige
14:30-15:00Break
15:00-16:00KEYNOTE: The Sociotechnical Entanglement of Values and AIDeborah G. Johnson
16:10-16:50Algorithmic Biases, Discriminations, and Moral ResponsibilityYuhan Fu

 

 

The workshop is open to all, and is free to attend (although registration is necessary--more information will be updated here).

  • Abstracts should be maximum 500 words (excluding references) and prepared for blind review - submitted to eteg.philosophy@univie.ac.at.
  • Presentations will be 25 minutes followed by 25 minutes of discussion.
  • More information about the event will be uploaded to our website.
  • All submissions should be in English.
  • Submission deadline: 2 June 2023
  • Notification of acceptance: 30 June 2023

At ETEG our goal is to foster responsible research norms by creating a supportive and inclusive space, while at the same time maintaining high academic standards. 

We also aim to be as transparent as possible. With this in mind, all abstracts will undergo peer review, with each submission receiving feedback, no matter whether it is accepted or rejected. The criteria on which submissions will be judged on are:

  1. Fittingness:  the submission fits the theme of the workshop. 
  2. Clarity: the submission articulates a clear thesis/aim/objective, and presents an easy-to-follow abstract that clearly conveys the structure of the proposed talk. 
  3. Argumentation: the submission clearly and succinctly spells out the argument(s) that will be used to establish the overall conclusion/thesis of the talk. 
  4. Originality: the submission strives to present a novel angle, perspective, interpretation, thesis or problem on a topic within the scope of the theme of the workshop.
ETEG Workshop Series-2
June 8, 2022 | 10:00-16:00 (CEST/UTC+2)

Keynote speaker: Sven Nyholm (Utrecht University)

The workshop is online, with an open theme of any topic related to the ethics of technology and we have four early career researchers (selected by an open CFP and a blind review process) presenting their work.

Please find our program below and here is the Zoom link.

Recordings of the talks are available below.

10:00-11:00Jannik Zeiser - Leibniz University HannoverThe roles of artificial intelligence in decision-support
11:00-12:00Cindy Friedman - Utrecht UniversityProtective rights for humanoid robots: a response to Sweeney’s “Fictional Dualism”
12:00-13:00--Lunch Break--
13:00-14:00Nora Lindemann - Osnabrück UniversityThe ethics of ‘deathbots’
14:00-15:00Keynote: Sven Nyholm - Utrecht UniversityA new control problem? Humanoid robots, AI, and the value of control
15:00-16:00Atay Kozlovski - University of ZurichResolving rational underdetermination in technological innovation
Cindy Friedman
Nora Lindemann
Atay Kozlowski

ETEG Workshop Series-1
April 26, 2021 | 16.00-19.00 (CET)

ETHICS  AND TECHNOLOGY WORKSHOP

4 pm - 5 pm:

"Algorithmic fairness, controversial variables and conceptual engineering"

Elizabeth K. Stewart (University of South Carolina)

5 pm - 6pm:

"A conceptual framework for personalized privacy assistants"

Sarah E. Carter (SFI Centre for Research Training in Digitally-Enhanced Reality (D-Real) Data Science Institute, National University of Ireland, Galway)

6 pm - 7 pm

"“Just” accuracy? Procedural fairness requires explainable and accountable algorithms in AI-based medical resource allocations."

Jon Rueda (La Caixa INPhNIT Fellow, University of Granada)