Events

Tue, 10/24/2017
Public Event
10:00 - 14:00
CITEC

Um dem Verbundvorhaben itsOWL-EUE, nach 3-jähriger Bearbeitungszeit und hervorragenden Ergebnissen, einen würdigen Abschluss zu geben planen wir eine öffentliche Abschlussveranstaltung am Citec der Universität Bielefeld. Hierfür bitte ich Sie den Termin entsprechend freizuhalten und ihre Teilnahme zu ermöglichen.

Thu, 11/09/2017 - Sat, 11/11/2017
Conference
9:30
Arlington, Virginia (USA)
The “Human-Agent Groups: Studies, Algorithms and Challenges” conference, which will be held in Arlington, Virginia (USA). It is part of the Fall Symposium Series of the Association for the Advancement of Artificial Intelligence (AAAI). Important deadlines to keep in mind: 21 July 2017: Submissions due to organizers. 4 August 2017: Notifications of acceptance sent by organizers. 25 August 2017: Accepted camera-ready copy due to AAAI. Please send questions or comments to the organizing committee at human.agent.groups@gmail.com. For more information, please see the supplemental symposium website at: https://people.csail.mit.edu/unhelkar/workshops/human-agent-groups-2017.
Thu, 11/16/2017
Internal Event
10 - 12
1.204

Machine learning is a means to derive artificial intelligence by uncovering patterns in existing data. In 2017, Dr. Joanna Bryson and two colleagues demonstrated that applying machine learning to ordinary human language results in human-like semantic biases. They replicated a spectrum of known biases, as measured by the Implicit Association Test, applying a widely used, purely statistical machine-learning model trained on a standard corpus of texts from the Internet. Their results indicate that text corpora contain recoverable and accurate imprints of our historic biases, whether morally neutral, such as toward insects or flowers; problematic as toward race or gender; or even simply veridical – reflecting the status quo distribution of gender with respect to careers or first names. In her talk, Bryson will first present their results, and then discuss what their research on machine bias demonstrates concerning the origins of human biases, stereotypes, and prejudices.

Wed, 11/22/2017
Internal Event
10 - 12
1.204

Conferring legal personhood to purely synthetic entities is a very real legal possibility – one that is, in fact, currently under consideration by the European Union. Why do people assert that machines may need their own (rather than derivative) rights? In what sense can anything other than a human be a legal person, or a moral agent? Does extending ethical concerns to other entities ever diminish the ethical concern we have for humans, or certain categories of humans?

In this talk, Bryson will begin with a set of simple functionalist definitions for the following terms: intelligent, agent, moral agent, moral patient, ethics and legal person. In most cases, the definitions are not the “correct” usages of the terms, but rather present a set of concrete concepts that can be used to disentangle frequently confused conceptions of ethics and identity. She will argue that since both machines and ethics are cultural artifacts, there is no scientific fact about the moral standing of machines that needs to be discovered, but rather only normative recommendations that need to be made.