|
Lehrende: Prof. Dr. Judith Simon
Veranstaltungsart:
Ringvorlesung
Anzeige im Stundenplan:
RV Taming Machines
Unterrichtssprache:
Englisch
Min. | Max. Teilnehmerzahl:
- | 360
Weitere Informationen:
https://www.inf.uni-hamburg.de/en/inst/ab/eit/taming-the-machines/winter21-22.html
Kommentare/ Inhalte:
"Taming the Machines — What machines can(not) or should (not) do"
Öffentliche Ringvorlesung der Arbeitsgruppe „Ethik in der Informationstechnologie”
Die Vortragssprache ist Englisch.
In recent years, machines have increasingly taken over tasks that for long only humans were able to perform. Today, algorithmic systems “diagnose” cancer, “decide” who will receive a job or a loan, and provide judges with predictions of who is likely to reoffend. More and more, human judgement is replaced with automated decision-making.
The usage of algorithmic systems can produce important benefits for people’s daily lives. Improved Big Data and AI technologies generate useful insights for researchers, politicians, or companies, and promise efficiency gains. However, the technologies also pose challenges for society and for individuals’ access to opportunities. For instance, algorithmic systems have been found to discriminate against people of color, women, or the poor. Therefore, they have the potential to increase social and economic inequalities.
Delegating decision-making to machines raises fundamental ontological and normative questions: What are the premises and implications of considering machines as agents or decision-makers? Are “decisions” taken by algorithmic systems just and how can they be justified? How to prevent or mitigate risks? And what governance measures are needed to ensure that values such as human dignity or equality are not violated? What role can transparency and openness play?
This public lecture series invites distinguished researchers to talk about the ramifications of new information and communication technologies (ICTs) and how to account for fundamental rights and values in research, design, and deployment of ICTs.
The lecture series is planned partly as a lecture hall event (if the pandemic situation allows for it), and partly in digital form as a Zoom webinar. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Programme
The lecture takes place on Wednesdays from 18:15 – 19:45 Uhr on the following dates:
27.10.2021
The Digitization of Judgment
Prof. Dr. Frank Pasquale (Brooklyn Law School, New York, USA)
10.11.2021
Why We Need Ethics in AI
Prof. Dr. John Tasioulas (University of Oxford, UK)
24.11.2021
The AI Mirror: Reclaiming our Humanity in an Age of Machine Thinking
Prof. Dr. Shannon Vallor (The University of Edinburgh, UK)
08.12.2021
Nobody Understands: Why we Need Intersectional Approaches to Protect Black Women Online
Mutale Nkonde (AI for the People & Berkman Klein Center, Harvard University, USA)
12.01.2022
Training the Machines? Lessons on the Powers of Open Data and Human Machine Interfaces
Dr. Katja Mayer (Universität Wien, AT)
19.01.2022
Moral Agency and Machine Learning
Prof. Dr. Geoffrey Bowker (University of California Irvine, USA)
Koordination: Prof. Dr. Judith Simon, Fachbereich Informatik, Ethik in der Informationstechnologie, Universität Hamburg
|
