We would like to invite you to the second lecture in the “Responsible Management Lectures” in the winter semester 2021.

We are very pleased that Prof. Dr. Kirsten Martin, William P. and Hazel B. White Center Professor of Technology Ethics | Director, ND Technology Ethics Center (ND TEC) | Professor of IT, Analytics, and Operations, University of Notre Dame, will give a lecture in English.

Title
Bias and Corporate Responsibility: How Companies Hide Behind The False Veil of The Technological Imperative

Abstract
This lecture will outline the importance of acknowledging that algorithms have biases, value-laden design features with more implications in use – and that companies encode those biases in the design and development of AI. Acknowledging the value-laden biases of algorithms as inscribed in design allows us to identify the associated responsibility of corporations that design, develop, and deploy algorithms. Put another way, claiming algorithms are neutral or that the design decisions of computer scientists are neutral obscures the morally important decisions of computer and data scientists. It will also examine the implications of making technological imperative arguments – framing algorithms as evolving under their own inertia, providing more efficient, accurate decisions, and outside the realm of any critical examination or moral evaluation.

It will discuss if judging AI on efficiency and pretending algorithms are inscrutable produces a veil of the technological imperative, which shields corporations from being held accountable for the value-laden decisions made in the design, development, and deployment of algorithms. While there is always more to be researched and understood, we know quite a lot about testing algorithms. Finally, it will review how the development of algorithms should be critically examined to elucidate the value-laden biases encoded in design and development.

Registration is requested.
We are looking forward to your participation!

Note
For the implementation of this event we use Zoom. The event will be recorded. The video appears in our appearances on the web (Facebook, Twitter, LinkedIn, website, YouTube) and is used in press releases. By default, the video of the participants is turned off. You can switch the video function on and off at any time during the event and thus decide whether your image can be used. For more information on data protection, please refer to our privacy policy. If you have any questions about the event, please send an email to: ibes@fh-wien.ac.at.