Workshops and Conferences
Workshop on Forecasting Heuristics in Infectious-Disease Surveillance
The workshop is scheduled for February 19th, 2024, from 16:00 to 18:30 CET, and will be conducted via Zoom.
Please register below if you would like to attend the workshop and have not yet received a meeting link.
The format of the workshop includes six talks, each lasting about 20 minutes + 5 minutes for questions. If time permits, we will close the workshop with a brief discussion, focusing on the key insights presented during the various talks.
The workshop will be moderated by Professor Gregory Wheeler (Frankfurt School).
A number of concerns have been recently raised regarding the possibility of human agents to effectively maintain control over intelligent and (partially) autonomous artificial systems. These issues have been deemed to raise ‘responsibility gaps.’ To address these gaps, several scholars and other public and private stakeholders converged towards the idea that, in deploying intelligent technology, a meaningful form of human control (MHC) should be at all times exercised over autonomous intelligent technology. One of the main criticisms to the general idea of MHC is that it could be inherently problematic to have high degrees of control and high degrees of autonomy at the same time, as the two dimensions appear to be inversely related. Several ways to respond to this argument and deal with the dilemma between control and autonomy have been proposed in the literature.
In this paper, we further contribute to the philosophical effort to overcome the trade-off between automation and human control, and to open up some space for moral responsibility. We will use the instrument of conceptual engineering to investigate whether and to what extent removing the element of direct causal intervention from the concept of control can preserve the main functions of that concept, specifically focusing on the extent it can act as foundation of moral responsibility. We show that at least one philosophical account of MHC is indeed a conceptually viable theory to absolve the fundamental functions of control, even in the context of completely autonomous artificial systems.
11 April 2022
Digital computing is facing different fundamental physical limitations in terms of higher clock frequencies, energy requirements, and integration density (i.e., the number of components per area). However, many computational problems (e.g., training neural networks, optimization problems, etc.) require more and more computing power to solve. Other computing paradigms can help tackle complex problems that arise in high-performance computing and artificial intelligence.
Talk by Lucas Böttcher at the APS March Meeting 2022
4 October 2021
Talk by Lucas Böttcher at the 5th Workshop on Virus Dynamics
12 June 2021
Lucas Böttcher and Jan Nagler
Introduction to the physical description of social systems including discussion in the context of a weekend seminar of the jDPG.
28 May 2021
The MIDAS Webinar Series features research by MIDAS members, and is open to the public.
4 May 2021
Professor Lucas Böttcher, Professor of Computational Social Science at Frankfurt School
7-10 July 2019
Ninth Workshop on Combining Probability and Logic
2 October 2018
The Future of Work. The Digital Revolution and Its Consequences,
Kick-Off Impulse & Panel Discussion
27 September 2018
Keynote Speech & Discussion with Prof. Gregory Wheeler
18 June 2018
The Third Wave of Artificial Intelligence is game changing.
15 June 2018