AI means the digitization of human knowledge skills, with the aim that machines provide services for which human intelligence has traditionally been a prerequisite. AI has become a key economic and social competence for the future of work, health, mobility, education, production, finance and ultimately everyday life. Artificial intelligence, however, is a tool and not a bag of miracles, and it is a subject that obviously generates many hopes, many fears and correspondingly much friction. The public perception is incomplete; often fiction-driven expectations dominate public opinion. The interest is accordingly intense and suddenly the question arises whether people will be dominated by the new AI tools.<\/p>\n
Nations wonder how they can survive the economic race. Germany intends to develop AIs without jeopardizing social partnerships, develop machines without neglecting reliability, and use data without risking privacy. At the end of the day and in daily use, it is all about deep explanation, avoiding loss of control and, most importantly, facilitating acceptance.<\/p>\n
\u201cArtificial intelligence or human \u2013 who decides?\u201d is therefore the overarching question of the 13th IT theme evening, which will take place on the 27 of November 2018 at 17:30 in the German Research Center for Artificial Intelligence on the campus of Saarland University.<\/p>\n
Program on 23.11.2018:<\/strong><\/p>\n 17:30 17:40 In very complex situations, AI must understand the environment correctly in order to make reliable and correct decisions. New techniques at the interface between AI, computer graphics and simulation make this possible.<\/p>\n 18:10 How can algorithms help us make better decisions? When will we become mere button presses, when will we become compliant agents? And where is the responsibility?<\/p>\n 18:40 How do I bring AI, \u201cMachine Learning\u201d and \u201cBig Data\u201d into my company? How do I identify potential for value creation from my data? And how do I implement this? The presentation shows successful case studies from practice.<\/p>\n Drinks and conversation in a relaxed atmosphere<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":" AI means the digitization of human knowledge skills, with the aim that machines provide services for which human intelligence has traditionally been a prerequisite. AI has become a key economic and social competence for the future of work, health, mobility, education, production, finance and ultimately everyday life. Artificial intelligence, however, is a tool and not […]<\/p>\n","protected":false},"author":41,"featured_media":1442,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[38],"project_tag":[],"class_list":["post-1444","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-it-themenabend-en"],"yoast_head":"\n
Welcome and Moderation<\/strong>
Reinhard Karger, German Research Center for Artificial Intelligence, Saarland Informatics Campus<\/em><\/p>\n
How does artificial intelligence help to understand the world?<\/strong>
Professor Philipp Slusallek, German Research Center for Artificial Intelligence, Saarland Informatics Campus<\/em><\/p>\n
Why AI must be understandable<\/strong>
Kevin Baum, Saarland University<\/em><\/p>\n
AI in practice: The data science start-up d:AI:mond<\/strong>
Professor Jens Dittrich, Saarland University, Saarland Informatics Campus<\/em><\/p>\n