{"id":7457,"date":"2019-01-03T16:36:06","date_gmt":"2019-01-03T15:36:06","guid":{"rendered":"https:\/\/www.uni.lu\/fr\/events\/winter-school-ethics-of-autonomous-vehicles-2-ects\/"},"modified":"2019-01-03T16:36:06","modified_gmt":"2019-01-03T15:36:06","slug":"winter-school-ethics-of-autonomous-vehicles-2-ects","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fr\/events\/winter-school-ethics-of-autonomous-vehicles-2-ects\/","title":{"rendered":"Winter School: \u00ab\u00a0Ethics of Autonomous Vehicles\u00a0\u00bb (2 ECTS)"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>Imagine you are steering a car and facing the dilemmatic choice of either killing one biker or two pedestrians &#8211; it is no longer possible to avoid human casualties. Should you save the greater number, i.e., kill the biker? Or should you (time allowing) randomise your decision, i.e., toss a fair coin, so as to allocate every person involved an equal 50% survival chance? Or would fairness require a weighted lottery, i.e., allocating a 1\/3 survival chance to the biker and a 2\/3 chance to the pedestrians?\u00a0Moreover, what if the pedestrians broke the traffic law and are responsible for the dilemma arising in the first place? Should they be \u00ab\u00a0punished\u00a0\u00bb by receiving a 0% survival chance, i.e., should you save the biker?<\/p><p>Questions pertaining to <strong>interpersonal dilemmas<\/strong> are but a subset of the ethical challenges autonomous vehicles confront us with. <\/p><p>Other issues to be discussed include the question of <strong>moral responsibility and legal liability<\/strong> in case a vehicle\u2019s algorithm causes an accident; whether algorithms can, metaphysically and legally, become so complex as to acquire \u00ab\u00a0personhood\u00a0\u00bb and a genuine capacity for decision-making and action; whether dilemmas of the above kind &#8211; one biker versus two pedestrians &#8211; have the same solution if you are driving versus just pre-programming the car (principal-agent problem); whether and how ethical theories can be formalised and implemented algorithmically; and how broader social issues should be handled, such as rising unemployment and donor organ shortage due to the mass adoption of safe self-driving cars (which will reduce the annual 1.2 million traffic casualties by an expected 90%).<\/p><p><strong>Open to all PhD Students of the University of Luxembourg.<\/strong><\/p><p><ul class=\"ulux-list\"><li class=\"ulux-list-item\"><strong>When<\/strong>:\u00a0Monday, 21 January &#8211; Friday, 25 January 2019 \/\/\u00a010h00-12h00 + 14h30-16h00<\/li><li class=\"ulux-list-item\"><strong>Where<\/strong>:\u00a0Monday &#8211; Maison du Savoir (MSA), Room 4.510 \/\/\u00a0Tuesday &#8211; Friday: \u00ab\u00a0Black Box\u00a0\u00bb, Maison des Sciences Humaines (MSH)<\/li><\/ul><\/p><p><strong>Lecturers<\/strong><\/p><ul class=\"ulux-list\"><li class=\"ulux-list-item\"><strong>Antonio Biki\u0107<\/strong> works at the Ludwig Maximilians University Munich and has backgrounds in philosophy and computer science. He is also a visiting researcher at ETH Zurich.<\/li><li class=\"ulux-list-item\"><strong>Adriano Mannino<\/strong> is a PhD candidate at the Ludwig Maximilians University Munich. He has backgrounds in philosophy and law. He is co-founder of DataCareer GmbH.<\/li><\/ul><p>Local Host:\u00a0<strong>Prof C. Schommer<\/strong>, ILIAS Lab, CSC Department.<\/p><p><strong>Schedule<\/strong><\/p><p><ul class=\"ulux-list\"><li class=\"ulux-list-item\">Chapter 1: Introduction: Why does ethics matter for autonomous vehicles?<\/li><li class=\"ulux-list-item\">Chapter 2: Trolleys, aggregation, and the time of human decision-making<\/li><li class=\"ulux-list-item\">Chapter 3: Moral responsibility and legal liability<\/li><li class=\"ulux-list-item\">Chapter 4: Agency I: Human vs. artificial action<\/li><li class=\"ulux-list-item\">Chapter 5: Agency II: Chinese rooms, p-zombies, and subjectivity<\/li><li class=\"ulux-list-item\">Chapter 6: Ethical paradigms I: Consequentialism, deontology, contractualism, virtue ethics, rational egoism, and moral pluralism<\/li><li class=\"ulux-list-item\">Chapter 7: Ethical paradigms II: What ought we to do (e.g., how ought we to program autonomous vehicles) under moral uncertainty and disagreement?<\/li><li class=\"ulux-list-item\">Chapter 8: Formal representation of ethical paradigms<\/li><li class=\"ulux-list-item\">Chapter 9: Algorithmic implementation of ethical paradigms<\/li><li class=\"ulux-list-item\">Chapter 10: The moral psychology and moral economics of self-driving cars<\/li><li class=\"ulux-list-item\">Chapter 11: Legal aspects: Aggregating lives in ethical dilemmas and the German Aviation Security Act<\/li><li class=\"ulux-list-item\">Chapter 12: Societal consequences I: Traffic casualties (and organ donations), future mobility and smart cities, sustainability, growth and unemployment, algorithmic MCAs and tech policy, and more<\/li><li class=\"ulux-list-item\">Chapter 13: Societal consequences II: Priority-setting in technical research and legislation &#8211; what should ethical consultants recommend, all things considered?<\/li><\/ul><\/p><p><strong>Prerequisites<\/strong><\/p><p>There is no formal requirements, but each participant should have an interest in ethical issues, particularly as they arise in the context of autonomous systems.<\/p><p><strong>Credits<\/strong><\/p><p>2 ECTS. The participant has to demonstrate an active participation and to give an introductory talk on a seminar topic (15 minutes) as well as to write paper on a topic of the student\u2019s choice (4000 words).<\/p><p><strong>Registration<\/strong><\/p><p>Via the registration questionnaire on Moodle <a href=\"https:\/\/moodle.uni.lu\/course\/view.php?id=201\" target=\"_blank\" title=\"\" rel=\"noopener\">https:\/\/moodle.uni.lu\/course\/view.php?id=201<\/a>. Please register via the registration questionnaire by Sunday 20 January 2019.<\/p><p>First come first served.\u00a0<\/p><p>50 seats are available.<\/p><p><strong>Contact<\/strong><\/p><ul class=\"ulux-list\"><li class=\"ulux-list-item\">Catherine Violet: <a href=\"mailto:catherine.violet@uni.lu\" target=\"_blank\" title=\"\" rel=\"noopener\">catherine.violet@uni.lu<\/a><\/li><li class=\"ulux-list-item\">Christoph Schommer: <a href=\"mailto:christoph.schommer@uni.lu\" target=\"_blank\" title=\"\" rel=\"noopener\">christoph.schommer@uni.lu<\/a><\/li><\/ul><p><\/p><p>Have a look at our <strong>poster<\/strong>!<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Imagine you are steering a car and facing the dilemmatic choice of either killing one biker or two pedestrians &#8211; it is no longer possible to avoid human casualties. Should you save the greater number, i.e., kill the biker? Or should you (time allowing) randomise your decision, i.e., toss a fair coin, so as to allocate every person involved an equal 50% survival chance? Or would fairness require a weighted lottery, i.e., allocating a 1\/3 survival chance to the biker and a 2\/3 chance to the pedestrians?\u00a0Moreover, what if the pedestrians broke the traffic law and are responsible for the dilemma arising in the first place? Should they be \u00ab\u00a0punished\u00a0\u00bb by receiving a 0% survival chance, i.e., should you save the biker?<\/p>\n","protected":false},"author":0,"featured_media":7458,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2019-01-21 10:00:00","event_end_date":"2019-01-25 16:00:00","event_speaker_name":"Antonio Biki\u0107 & Adriano Mannino ","event_speaker_link":"","event_is_online":false,"event_location":"Maison du Savoir (MSA), Room 4.510 + \"Black Box\", Maison des Sciences Humaines (MSH)","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[],"events-type":[],"organisation":[25,226],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Winter School: &quot;Ethics of Autonomous Vehicles&quot; (2 ECTS) - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"Imagine you are steering a car and facing the dilemmatic choice of either killing one biker or two pedestrians - it is no longer possible to avoid human casualties. Should you save the greater number, i.e., kill the biker? Or should you (time allowing) randomise your decision, i.e., toss a fair coin, so as to allocate every person involved an equal 50% survival chance? Or would fairness require a weighted lottery, i.e., allocating a 1\/3 survival chance to the biker and a 2\/3 chance to the pedestrians?\u00a0Moreover, what if the pedestrians broke the traffic law and are responsible for the dilemma arising in the first place? Should they be &quot;punished&quot; by receiving a 0% survival chance, i.e., should you save the biker?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fr\/events\/winter-school-ethics-of-autonomous-vehicles-2-ects\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Winter School: &quot;Ethics of Autonomous Vehicles&quot; (2 ECTS)\" \/>\n<meta property=\"og:description\" content=\"Imagine you are steering a car and facing the dilemmatic choice of either killing one biker or two pedestrians - it is no longer possible to avoid human casualties. Should you save the greater number, i.e., kill the biker? Or should you (time allowing) randomise your decision, i.e., toss a fair coin, so as to allocate every person involved an equal 50% survival chance? Or would fairness require a weighted lottery, i.e., allocating a 1\/3 survival chance to the biker and a 2\/3 chance to the pedestrians?\u00a0Moreover, what if the pedestrians broke the traffic law and are responsible for the dilemma arising in the first place? 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