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Video-Podcasts of further FRIAS events

Vortrag von Prof. Marcus Willaschek am 25. Juni 2019: Künstliche Intelligenz und Willensfreiheit

Es ist seit jeher umstritten, unter welchen Bedingungen menschliche Entscheidungen als frei gelten können. Einigen Positionen zufolge erfordert dies die Abwesenheit kausal determinierender Faktoren, anderen Positionen zufolge nicht. Sollte Willensfreiheit lediglich rationale Einsichts- und Steuerungsfähigkeit erfordern, wäre sie mit vollständiger Determination vereinbar. Dies wirft die Frage auf, ob auch künstliche Intelligenz über Willensfreiheit verfügen kann.

Zur Person: Prof. Dr. Marcus Willaschek (*1962) ist seit 2003 Professor für Philosophie der Neuzeit an der Goethe-Universität Frankfurt am Main. Er forschte u.a. an den Universitäten Harvard, Berkeley, UC San Diego, Keio (Tokyo), Osaka. Er ist Principal Investigator im Exzellenzcluster „Normative Orders“ sowie Mitglied der Berlin-Brandenburgischen Akademie der Wissenschaften und der Wissenschaftlichen Gesellschaft Frankfurt.

Weitere Informationen zu den Thementagen "Verantwortliche Künstliche Intelligenz"


Keynote by Prof. Nancy Adler 22 February 2019: The Future of Soviet Past: Russia and the Challenge of the Age of Transitional Justice

Nearly thirty years after the end of a seventy-year dictatorship that claimed millions of victims, aside from symbolic reparations, the post-Soviet government(s) have implemented little to none of the recognized, institutionalized transitional justice mechanisms to reckon with this past. Rather than fully confronting its history of multiple regime abuses, there has been a persistent, politically-driven effort to manage national and public memory by repressing, controlling, or even co-opting the memory of repression. Now, as under Khrushchev and Gorbachev, the government sanctions the immortalization of victims to a point, but draws a rather thick line when it comes to the discussion of the perpetrators. Not one henchman has been tried, nor one truth commission instigated, victim compensation is limited, as is archival access, the record in history textbooks is a political narrative, and researchers of Stalinism are still arrested or harassed on spurious charges. It was not until 2015 that the state sanctioned the plan for an official monument to the victims of Stalinism. Most of them did not live to see it erected. This talk will focus on some of the causes and consequences of post-Soviet Russia’s ambivalent attitude toward its Stalinist past, and reflect on how to move beyond current impasses.

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Book Launch with Evanghelia Stead (Ed.) and Henrike Lähnemann on June 12, 2018: Reading Books and Prints as Cultural Objects

This book contributes significantly to book, image and media studies from an interdisciplinary, comparative point of view. Its broad perspective spans medieval manuscripts to e-readers. Inventive methodology offers numerous insights into visual, manuscript and print culture: material objects relate to meaning and reading processes; images and texts are examined in varied associations; the symbolic, representational and cultural agency of books and prints is brought forward.

Stead, E. (Ed.). (2018). Reading Books and Prints as Cultural Objects. Palgrave Macmillan.


Lecture by Hartmut Neven on March 8, 2016: Artificial Intelligence: Why Google is building a quantum computer (Lecture held in German)

Hartmut Neven 07Hartmut Neven is a leading expert in the fields of: quantum computing, computer vision, robotics and computational neuroscience. He is best known for his work in face- and object recognition and machine learning. Moreover, as one of the former development managers of Google Googles and Co-Founder of the Google Glass project, he is one of the pioneers in the area of visual search technologies. Currently, Neven is working in a team of worldwide leading quantum researchers at the University of California Santa Barbara, as development manager of the Google Quantum Artificial Intelligence Lab. The team is working on the development and improvement of artificial intelligence as well as the enhancement of the processing power of computer systems. As a collaborative project by Google, the US-space agency Nasa and the Universities Space Research Association, a union of more than 100 universities with higher education studies in Aeronautics Research, the team aims to develop and build new quantum information processors.

In his lecture, Neven talks about the architecture of the processor types: quantumoptimizer (quantum annealer) and quantum circuit. A quantumoptimizer is a promising instrument to find better solutions for difficult combinatory optimization problems. As an example how quantum optimization is used in machine learning, he will demonstrate how a system can profit from heavy noisy training data. His team has used quantum circuit to put a quantum neuronal network into effect. The project has implemented such a network in a first application, in order to identify energies of molecular hydrogen with chemical accuracy. Another common area of application for quantum computers is quantum simulation.

In his talk, Hartmut Neven explains why quantum computers can accelerate the development of artificial intelligence.

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