<\/p>\n
Meet the Bot, Feed the Bot
\nSymposium, 16 \u2013 17 November, servus.at in cooperation with Time-based Media, Art University Linz<\/p>\n
Bots as Disseminators of Disinformation<\/strong> Who are the authors of fake news and which interests are behind them?<\/strong> The End of Chance, Deep Learning<\/strong> How does Deep Learning work? Stereotypes by Design<\/strong> What effects do \u201cstereotypes by design\u201d have on the idea of role models? AI, Bots & Art<\/strong> Free open tools make it possible to realize projects outside the existing industry and thus actively take part in current discourse on the human-machine relationship.<\/p>\n http:\/\/research.radical-openness.org\/2017\/<\/p>\n A project by Valie Djordjevic & Us(c)hi Reiter, servus.at<\/p>\n <\/p>","protected":false},"excerpt":{"rendered":" Meet the Bot, Feed the Bot Symposium, 16 \u2013 17 November, servus.at in cooperation with Time-based Media, Art University Linz Bots as Disseminators of Disinformation False reports and conspiracy theories \u2013 Fake News \u2013 have become a threat scenario for democracy since the US elections at the latest. Fake News is not entirely new \u2013 […]<\/p>\n","protected":false},"author":1,"featured_media":80,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-142","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/pages\/142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/comments?post=142"}],"version-history":[{"count":3,"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/pages\/142\/revisions"}],"predecessor-version":[{"id":145,"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/pages\/142\/revisions\/145"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/media\/80"}],"wp:attachment":[{"href":"https:\/\/research.radical-openness.org\/2017\/en\/wp-json\/wp\/v2\/media?parent=142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nFalse reports and conspiracy theories \u2013 Fake News \u2013 have become a threat scenario for democracy since the US elections at the latest. Fake News is not entirely new \u2013 it has already been used in the past to maintain power relations or incite people. Although political discourse has been democratized through the Internet and especially through social media, at the same time propaganda, assertion of false facts, and conspiracy theories can also be faster and further disseminated in the same way. Automatized computer programs, so-called social bots, also contribute to this. On the one hand they can provide practical services, but on the other they can also spread fake news virally and amplify existing trends on the net. Users who advocate tabooed standpoints thus gain the feeling they are not alone with their controversial opinions.<\/p>\n
\nHow much influence does automatized news actually have?<\/strong>
\nHow can social bots be revealed as disseminators of fake news?<\/strong>
\nHow will we form our opinions in the future?<\/strong>
\nDo bots have a right to free speech?<\/strong><\/p>\n
\nToday\u2019s computers are capable of collecting and analyzing incredible amounts of data. Following the AI winter of the 1980s and early 90s, when research on artificial intelligence (AI) stagnated, current developments seem to be evolving faster and faster: self-driving cars, digital assistants like Siri and Alexa, the Internet of Things, Google and its knowledge management. What we encounter in the digital world, and which is increasingly penetrating into our real lives, is no longer left up to chance, but has instead become part of an unfathomable algorithmic intelligence. Transhumanists believe that with the current development of artificial intelligence, the idea of immortality has become a realistic goal. In science and industry, people are busy teaching machines to learn by themselves and making them \u201cintelligent\u201d. With \u201cDeep Learning\u201d and artificial neural networks, this branch of AI is making tremendous progress. We want to discuss the opportunities, dangers and threats that this new technical revolution \u2013 as many call it \u2013 will bring with it, but we also want to examine the misunderstandings and fantasy ideas circulating in conjunction with artificial intelligence.<\/p>\n
\nWhich goals are various players pursuing with this development?
\nWhich interdisciplinary approaches are needed for the development of AI?
\nWhich role do we ourselves play in training machines?
\nHow can we teach machines moral and ethical behavior, when we are already failing in this as humans with different values?
\nHow can the process of current developments be made transparent and how can society be involved in this process?<\/p>\n
\nHumans have always had a tendency to anthropomorphize things and animals \u2013 we talk to cars, animals, appliances, and plants. The development of artificial intelligence has led to a proliferating new start-up scene. Digital assistants are booming and accompany our smart life. They have names, voices, and characters. Whether Siri, Alexa or Cortana, they all have a story. The humanization of software inevitably brings human prejudices and values into play \u2013 including gender roles. The machine is not neutral, but is instead embedded in social and political contexts and power relations.<\/p>\n
\nWhich considerations are behind design decisions?
\nIs the argument valid that \u201cfemale voices and characteristics sell better\u201d?
\nHow do we want software to interact with us?
\nWhat can software itself contribute to breaking down our prejudices and biases?<\/p>\n
\nAlong with the questions we develop within the framework of the symposium, we invite artists to share with us their explorations and investigations of artificial intelligence. These deal with the phenomena of data collection, the automatization of ideas, the deconstruction of power positions, investigative research, the poetry of machines, and much more.<\/p>\n