Summer School

The AI´s have it? Reflections on the History, Present, and Future of AI-Human Relationships

Evento online
Logótipo da Unite!

People ask Alexa or Siri to recommend good restaurants or who caused the Second World War. Robots have become co-workers in the factory or are used as caregivers. People can buy android-like sex robots or use AI programs to create avatars as their digital doubles. During the pandemic, bots are being used as care companions for humans in order to alleviate loneliness. Algorithms „read“ images, compose music, write articles according to a given prompt, co-create works of art, write poems and books, and predict audience reactions to movies. AI software „assists“ in personnel decisions and programs and "predicts" complex human behavior in many ways.

Long-standing visions and dreams as well as human fears seem to come true in the context of recent AI developments, especially machine learning. The division of labor between humans and machines, and the forms of human-machine interaction are undergoing a rapid change. To be sure, technology has never been merely a tool; it has always mediated human practices and self-understanding and prompted change therein. However, it has become obvious that we are currently dealing with a profound shift in human-machine relations. And this development is vexing for human self-understanding. Once again, we ask: What is it that constitutes being human? A few decades ago, it was debates on thinking and intelligence. Nowadays, concepts, such as autonomy, creativity, responsibility, or emotions, which were once considered to be genuinely and exclusively human capabilities, are being questioned, changed, and defended in the context of current AI developments: Can machines do all of this?

In this Summer School (20-24 September 2021), we want to discuss and reflect on these topics, perspectives, and aspects. We would like to ask: What Exactly is New about AI?; “Human” Concepts and Machine “Capabilities”?;  AI as Partner and Companion: New Human-Machine Relationships? Theoretical Descriptions? AI Ethics?

More information: www.geschichte.tu-darmstadt.de/summerschool_ai.


Summer School no âmbito da Rede UNITE! (University Network for Innovation, Technology and Engineering), de que faz parte a ULisboa.

Technical University of Darmstadt: Department of History (Martina Hessler) / Universidade de Lisboa: Centro de Filosofia das Ciências da UL (Alexander Gerner)

O evento pretende juntar técnicos, investigadores, estudantes, produtores, industriais e demais agentes da fileira, contribuindo para a atualização de dados sobre o setor e a partilha de conhecimentos sobre as potencialidades da flora portuguesa, para além, das condições edafoclimáticas nacionais que potenciam produtos de elevada qualidade.

This course introduces the field of island biogeography, a discipline that has long influenced other research areas such as macroecology, community ecology, evolution and conservation biology.

Scientists, as the main actors in the production of scientific knowledge, have the responsibility of having an active voice in communicating this knowledge – and that can be achieved for example by a conscious use of the communication tools at their disposal and a better articulation with journalists, among other means.

This course aims at providing students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

This course aims at providing students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. It also includes an introduction to modeling, simulations and Bayesian statistics.

Under the general framework of Global Change Ecology, the goal of this course is to provide the participants with the most recent and practical knowledge on the use of Functional Diversity.

The course provides essential skills and knowledge that enable the participants to develop climate change adaptation strategies.

The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.

This is a mostly practical course offering an overview on different community ecology and macroecological methods and software. These will include all steps of a research project, from the optimal sampling of communities to process inference from large-scale patterns of taxon, phylogenetic and functional diversity.

This course aims to walk through the grounds of modern botany studies, covering subjects that have been excluded from most academic curricula.

The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems. Basic knowledge will be provided through theoretical and practical lessons on how to select and use the most suitable metrics based on the analysis of multiple compartments of the ecosystems.

This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets. It also includes an in-depth review of the different types of data used to measure biodiversity and their problems and limitations.

Páginas