Im Kontext der Data Challenge 2020 wird Frau Selma Gebhardt am Donnerstag den 16.01.20 um 14:15 Uhr in HIII (Bockenheim) einen Einführungsvortrag zur DSGVO halten. Dieser Vortag ist offen für alle Studierenden der Goethe-Universität. … man muss also vorher nicht in der Veranstaltung gewesen sein!
Zusammen mit der Fachschaft bietet Frau Gebhardt ebenfalls Workshop Datenschutz (14.-16.01.2020) an.
Über die Dozentin:
Selma Gebhardt, Dipl.-Volkswirtin, ist Datenschutzbeauftragte (TÜV) und Auditorin
(AQMA®-TÜV), Qualitätsmanagerin (TÜV), Umweltmanagement- und
Arbeitsschutzmanagementbeauftragte (TÜV). Unternehmens- und Projektberaterin bei
Rosenholz Quality Consulting in Berlin.
Sie bereitet Unternehmen — vom Kleinbetrieb bis zum internationalen Konzern — auf
Zertifizierungen nach internationalen Standards vor. Außerdem koordiniert sie internationale
Gruppenzertifizierungen (EU) und berät interkulturelle Projekte zur
Als Lehrbeauftragte für Auditierung von ISO-Standards und Datenschutz vermittelt sie gerne
Wissen und Erfahrung (Universität Bremen, Hochschule Furtwangen, Campus Stuttgart u.a.).
We are very happy to inform you that we offering a Summer School course on the Ethical Implications of AI at the Goethe University Frankfurt.
Dates: 17 – 28 August, 2020 Overview and Course Description: https://lnkd.in/g2frWef
We encourage students (Bachelor, Master, PhD) with different backgrounds, knowledge, geographies to enroll in this course. The topic is highly interdisciplinary and therefore requires different points of views, expertise, and attitudes.
Application process will be open from 01 January 2020: https://lnkd.in/g-DinQR
AI is becoming a sophisticated tool in the hands of a variety of stakeholders, including political leaders. Some AI applications may raise new ethical and legal questions, and in general have a significant impact on society (for the good or for the bad or for both). People motivation plays a key role here. With AI the important question is how to avoid that it goes out of control, and how to understand how decisions are made and what are the consequences for society at large.
Students will learn the ethical implications of the use of Artificial Intelligence (AI).
- What are the consequences for society?
- For human beings resp. individuals?
- Does AI serve human kind?
Discussion and debate of ethical issues is an essential part of professional development— both within and between disciplines— as it can establish a mature community of responsible practitioners.
Through ethical reflection students can gain orientation and competencies that will help them in their ethical decision making.
Students will work in small group and learn how to apply an AI Ethical Inspection Process, called Z-inspection, to real AI use cases.
The course will provide an ethical framework (called Z-inspection), domain-specific resources, metrics, processes, tools and case studies, to guide teams of students in their efforts to assess ethical issues in AI, such as for example:
- Fairness/ bias/ discrimination;
- Transparencies / Explainability/ intelligibility/ interpretability;
- Privacy/ Responsibility/ Accountability;
- Human-in the loop.
Z-inspection is being currently developed by the team of Prof. Zicari at the Frankfurt Big Data Lab and it could be part of an Ethics by Design process, or if the AI has already been designed, it can be used to do an ethical sanity check, so that a certain AI Ethical standard of care is achieved. It can be used by a variety of AI stakeholders.
The overall goal of the course is to contribute to closing the gap between “principles” (the “what” of AI ethics) and “practices” (the ”how”).
The course comprises 28 contact hours (8*3.5 hours). Upon successful completion, 4 ECTS (European Credit Transfer System) points will be awarded for the module. A single ECTS point is defined as the equivalent of 25 to 30 hours of student workload. This includes class hours, additional preparations for class activities, readings, assignments as well as final assessments.
Attendance: Participants have to attend at least 80 % of the classes.
Students should have an interest in reflecting on what is right or wrong, and it is assumed that they are capable of discussing a scenario and taking a view on whether an action is ethical.
We encourage students with different backgrounds, knowledge, geographies to enroll in this course. The topic is highly interdisciplinary and therefore requires different points of views, expertise, and attitudes.
Roberto V. Zicari, Founder Frankfurt Big Data Lab.
Roberto V. Zicari is professor of Database and Information Systems (DBIS) at the Goethe University Frankfurt, Germany. He is an internationally recognized expert in the field of Databases and Big Data. His interests also expands to Ethics and AI, Innovation and Entrepreneurship. He is the founder of the Frankfurt Big Data Lab at the Goethe University Frankfurt, and the editor of the ODBMS.org web portal and of the ODBMS Industry Watch Blog. He was for the past five years a visiting professor with the Center for Entrepreneurship and Technology within the Department of Industrial Engineering and Operations Research at UC Berkeley (USA).
Prof. Thomas Ploug, Aalborg University, DK
Thomas Ploug is professor of Information and Communication Ethics at Aalborg University Copenhagen (DK). He is Vice head of the Departement of Communication and Psychology. He is member of the Danish Council of Ethics, and member of the Danish SIRI Commission. The SIRI Commission is a think tank founded by Danish politician Ida Auken and the Danish Society of Engineers.
Irmhild van Halem, Ethics Advisor Frankfurt Big Data Lab.
Irmhild van Halem is a member of the Frankfurt Big Data Lab Team providing an interdisciplinary perspective and background on Applied/AI Ethics.
Through many years working in business (Corporate Finance / M&A) she has gained insight in a variety of industries and domains in which AI is used or going to be deployed. As part of her theological and philosophical studies she specialized in ethics. Her experience in due diligence processes and her IT studies and interest are useful for developing the AI Z-inspection framework.
She holds a diploma degree in Business Administration and Informatics (minor) from the University of Cologne. Currently she finalizes her Master degree in Theology at Heidelberg University.
With contributions from Dr. Karsten Tolle, Dr. Todor Ivanov, Mr. Timo Eichhorn (Frankfurt Big Data Lab).
We are launching the hashtag:
#mai = Moral AI
Note: “mai” in Italian means never…
Please join us in distributing this.
The Center for Scientific Computing (CSC) of the Goethe University Frankfurt offers free workshops on Node Level Performance Course and Intel AI Workshop.
You can register online at: https://csc.uni-frankfurt.de/wiki/doku.php?id=public:events
Frankfurt, July 23, 2019
Today, Todor Ivanov, PhD student at the Frankfurt Big Data Lab, has successfully defended his PhD thesis!
His research work is related to the research area of Big Data Benchmarks: http://www.bigdata.uni-frankfurt.de/databench-project/
S20: Recent Developments in Digital Numismatics – Breaking down barriers
In particular, the nature of coins as mass-produced, serial objects with relatively standardised core data mean that with projects such as nomisma.org numismatics is very much at the forefront of the development of the application of Linked Open Data and the Semantic Web in the Digital Humanities. Other fields which have seen intense activity include the application of 3D-modelling as a means of documenting and presenting coins (the digital replacing the long-standing analogue practice of 3D-documentation with plaster casts), and of image recognition, not just for the automatic identification and classification of individual coins but, for example, also as a means of automatically identifying objects in the fight against the illegal trade in coins (e.g. the FP6 project, COINS: Combat on-line illegal numismatic sales).
The aim of the session is to present examples of recent work and advances in Digital Numismatics. In the past numismatics has often been seen as an isolated discipline with little (interest in) interaction with other fields. Therefore the session will place a particular emphasis on examining how the lessons learned from the various numismatic projects can be applied to other areas of the Digital Humanities, and how Digital Numismatics can be better integrated into the broader field of archaeology as a whole.
The session will take the form of a series of short presentations (c. 5 minutes), followed by a moderated discussion. Presentations are particularly invited from non-numismatic domain experts with a view to also examining what lessons numismatics can learn from the experience of those working in other fields.