Succede in diverse città d'Italia. Chiusi in casa, lontani dagli altri, ci si tiene compagnia così, cantando insieme. E le voci risuonano nei condomini e per le strade. Nel video i canti a Napoli, Siena, Torino, Cagliari, Roma, Benevento, Lecce, Salerno.

video da Repubblica.it https://video.repubblica.it/dossier/coronavirus-wuhan-2020/coronavirus-nelle-citta-deserte-si-canta-insieme-alle-finestre-l-effetto-e-struggente/355736/356302

Dr. Tressie McMillan Cottom in conversation with Deborah McDowell, discussing her latest collection of essays, "Thick" .

recorded on Thu. March 21, 4:00 PM - 5:30 PM
at the Jefferson School African American Heritage Center
233 4th St NW, Charlottesville, VA 22903

To celebrate our second birthday, please join us for a conversation at City Lights about the state of technology writing.

How are writers telling the story of technology? And how has the way they are telling that story changed since we started Logic, as a string of revelations and scandals fosters a darker mood about the role of technology in our lives?

To discuss these questions, we’ll hear from friends of the magazine who write about technology in different genres:

• Megan Rose Dickey is a senior reporter at TechCrunch focused on diversity, inclusion and social justice. She also covers the on-demand economy, artificial intelligence and transportation.

• Alexis C. Madrigal is a staff writer at The Atlantic and the author of Powering the Dream: The History and Promise of Green Technology.

• Fred Turner is the author of From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism, and a professor of Communication at Stanford University, where he studies media, technology and American cultural history.

• Ellen Ullman is a computer programmer and author, most recently, of Life in Code: A Personal History of Technology.

• Julia Carrie Wong is a senior technology reporter for Guardian US, based in San Francisco.

Moderated by Ben Tarnoff, a founding editor of Logic.

extracted from part 2 of the recording of 'Stop Making Sense'
@ HKW 12 Jan 2019
https://www.hkw.de/en/programm/projekte/veranstaltung/p_146043.php

"Are Artificial Intelligence and Machine Learning really the right metaphors to address training sets that feed into automated processes? Kate Craword and Trevor Paglen look into the production of training data and uncover the historical origins, labor practices, infrastructures, and epistemological assumptions, with biases and skews built into them from the outset. Departing from these observations they ask: Is there a possibility for decentralized, vernacular AI? How does computational centralization relate to reduction?"

• following discussion
  Kate Crawford, Trevor Paglen, Felix Stalder, and Luc Steels, moderated by Bernd Scherer

A wave of rank-and-file rebellion is sweeping the tech industry. How did we get here? And what comes next?

To discuss these questions, and to celebrate the release of Logic's sixth issue, "Play," we invite you to join a panel discussion on the past, present, and future of tech worker organizing with:

• Meredith Whittaker
• Liz Fong-Jones
• Joan Greenbaum
• Members of Unite Here Local 100

Moderated by Ben Tarnoff. Co-sponsored by Tech Workers Coalition NYC, Coworker.org, NYC DSA Tech Action, and Science for the People NYC

The Language of Broken Glass
Hito Steyerl (filmmaker), Bernd Scherer
Presentation, conversation

Hito Steyerl explores the ways in which Artificial Intelligence affects our urban environment and how alternative practices may emerge through pictorial acts in the public space. Her new work The City of Broken Windows (2018), premiered at Castello die Rivoli near Turin, revolves around the process of teaching AI how to recognize the sound of breaking windows. In conversation with Bernd Scherer the artist presents this site-specific film installation.

Language is a Slippery Thing
Luc Steels (AI scientist and opera composer)
Lecture

A language used to be thought of as a more or less fixed system with a universal, possibly innate underlying structure. But on closer examination, a language is like a river, always changing and fluid. How can we study this highly dynamic object? The talk will first give an impression of the fascinating experiments in language evolution that have been taking place over the past few decades, some of them in the context of art exhibitions. Then Luc Steels will look at how and why social media and AI technology have recently given rise to language abuse that exploits disinformation, divisive discourse, and post-truth conspiracy theories. We have to ask the question: What is the influence of technology on this important shift in human discourse. How is it changing language and the use of language? Will language lose its ability to convince others through argument and to speak the truth? How can we regain this precious tool that is essential for keeping coherence in our society?

Language Agents
Luc Steels in conversation with Giulia Bruno (artist) and Armin Linke (artist)
A film about Artificial Intelligence, robots, language games, and the characteristics of non-human communication. Giulia Bruno and Armin Linke visited the Belgian scientist and artist Luc Steels in his archive, and have brought together and commented on his extensive research material in a video installation. Steels’s pioneering Talking Heads Experiment, conducted between 1999 and 2001, allowed robots, independent of centralized human input, to develop their own common vocabulary, which was then further developed through interaction with “human intelligence.” In their lecture performance, Giulia Bruno and Armin Linke provide an insight into their film project, which is installed in the exhibition hall in full length.

Discussion and Q&A

If Everything is True—Knowledge and Manipulation
Felix Stalder (media and cultural theorist)
Lecture

Datafication of Science
Kate Crawford (Distinguished AI Scholar)
and Trevor Paglen (artist)
Lecture

Are Artificial Intelligence and Machine Learning really the right metaphors to address training sets that feed into automated processes? Kate Craword and Trevor Paglen look into the production of training data and uncover the historical origins, labor practices, infrastructures, and epistemological assumptions, with biases and skews built into them from the outset. Departing from these observations they ask: Is there a possibility for decentralized, vernacular AI? How does computational centralization relate to reduction?

Discussion
Kate Crawford, Trevor Paglen, Felix Stalder, and Luc Steels, moderated by Bernd Scherer