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)

In this course we will provide advanced hands-on training on some of the most used technological tools in field biology.

Inscrições abertas até 6 de junho.

Seminário Permanente de Filosofia das Ciências, por Vinícius Jonas de Aguiar (CFCUL/GI3).

E3 Talk, por Simone Vieira (Núcleo de Estudos e Pesquisas Ambientais, UNICAMP).

Título e data do evento, sobre fotografia de paisagem polar

Neste evento, a elite mundial de exploradores e cientistas partilhará com o público as descobertas mais recentes, as tecnologias mais inovadoras e as novas missões que prometem revolucionar o futuro do espaço, dos oceanos e do planeta.

A joint organization between Luisa Fiorot (Dipartimento di Matematica ”Tullio Levi-Civita”, Padova, Italy) and Teresa Monteiro Fernandes (CMAFcIO, FCUL, Portugal).

A short course by Luisa Fiorot (Dipartimento di Matematica ”Tullio Levi-Civita”, Padova, Italy).

Fotografia do mar, titulo dos cursos e logótipos das entidades promotoras

Brevemente serão disponibilizados mais 6 cursos, estando já previsto um na área da Biotecnologia Marinha, programado para início de outubro.

Título do evento e representação de átomo

O principal objetivo desta formação é capacitar doutorandos e doutorados de instituições de ensino superior e centros de investigação para os temas de empreendedorismo, inovação e transferência de conhecimento, permitindo-lhes perceber de que forma podem potenciar ainda mais o impacto gerado pelo

Colóquio de Matemática, por Jean-Baptiste Casteras (CMAFcIO, FCUL).

Sessão no âmbito do Lisbon Workshop Series.

Ação de formação para docentes, por Sofia Sá.

Título do evento e fotografia de participantes numa sessão

O prazo de submissão de resumos termina no dia 30 de abril.

Logótipo da iniciativa e fotografia de dois investigadores

Ciência Aberta e Inovação: uma abordagem colaborativa, transparente e acessível.

Título do evento e fotografia de dois estudantes

Candidaturas para estudantes regulares da ULisboa até 28 de março de 2023.

Título do evento e fotografia de utilizador de computador

Curso com candidaturas a decorrer.

Logótipo do prémio

As candidaturas à 10.ª edição decorrem até 30 de junho de 2023.

Título/data do evento, logótipo da Rede MAR e fotografia do mar

Applications from 01 June to 15 June 2023.

As candidaturas estão abertas até 26 de maio de 2023.

Logótipo do programa, sobre um fundo amarelo

Inscrições para Monitores até 31 de maio.

Título da iniciativa e fotografia do espaço

The program involves developing a research or science communication project under the supervision of researchers and science communicators from the Institute of Astrophysics and Space Sciences (IA). Two science communication workshops and a final seminar, in which the work developed is presented, are also part of the program.

Logótipo do CFTC, título e datas dos estágios

Three-weeks working on a project with a Researcher as a Supervisor, along with other workshops and activities - open to BSc or MSc students in Physics, Engineering Physics, Biomedical Engineering or other related fields.​

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.

Ação de formação para docentes, por Carlos Seco.

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.

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