UHH, Main Building, West Wing, Edmund-Siemers-Allee 1, Room 221
Prof. Dr. Vincent Cornelius Müller, Lehrstuhl für Theory and Ethics of Artificial Intelligence, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
Taming the Machine. The Ethics in Information Technology Public Lecture Series
This semester’s edition of "Taming the Machines" explores the interrelated ethical, political, and technological aspects of Artificial Intelligence (AI) in an interdisciplinary way.
AI-driven technologies are increasingly shaping the world we live in, sparking growing ethical scrutiny. As a result, it appears more and more urgent that societies collectively address how and in what way the further development of such technologies might be tangibly influenced. And, importantly, by whom this task should be advanced and according to which agendas? Ethicists, legislators, designers, and engineers, each bring distinct expertise and capacities to the multiplicity of social issues raised by these technologies, yet the perspectives and approaches they offer may or may not be complimentary or even simultaneously realisable (let alone mutually satisfactory). Amidst the rising tensions surrounding the AI driven transformation of our shared social space, particularly in the domain of governance and regulation, this lecture series asks how we might best accompany innovation in AI and realise ethically desirable future outcomes. In other words, to delve into the questions of what it means to live well in a society that is increasingly driven by AI tools? What design and regulative choices ought we make? What social infrastructures and normative frameworks might be needed for the future handling of emerging technologies? How could or should openness to innovation be reconciled with defending and developing the ideals of a free and democratic society under the rule of law?
In the digital transformation of science, research data is an essential basis of the research process and as diverse as the subject cultures in which they are created and used. In data-based or data-driven research, computational methods can be used to scale and transform the research process. As a scientist, you should store your research data in a secure technical environment using established standards and compliance with data protection regulations. When using computer-aided methods - from statistics to artificial intelligence - and in interdisciplinary research and use of innovative digital methods, you need advice from an expert. What does this mean in concrete terms for scientific practice? The experts give concrete tips and answer your questions. In addition, the participants have the opportunity to exchange perspectives, challenges and best practice examples and to be inspired. All interested parties are invited to find out more about the services of the Center for Sustainable Research Data Management (CRDM) and - this time also present - the House of Computing and Data Science (HCDS) at Universität Hamburg from 12 p.m. The information event is open to the university. Registration is free. The event will take place in German.