Events: Centre CHAIRhttp://www.chalmers.se/sv/om-chalmers/kalendariumUpcoming events at Chalmers University of TechnologyMon, 23 Jan 2023 15:22:53 +0100http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Bram-Vaassen.aspxhttps://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Bram-Vaassen.aspxAI Ethics with Bram Vaassen<p>Online, register to receive the link</p><p>​Explanation and the autonomy of affected parties</p>​<img src="/SiteCollectionImages/Centrum/CHAIR/events/Bram%20Vaassen.jpg" alt="Photo of Bram Vaassen" class="chalmersPosition-FloatRight" style="margin:5px" /><br /><div>Many worry that an increased reliance on machine learning for training decision algorithms will make such procedures opaque. Even the experts involved in developing or employing such algorithms would have no grasp on why it makes the decisions that it does.</div> <div><br /></div> <div>Building on research on the value of causal explanation, I argue that there is a distinct risk of undermining the autonomy of the individuals affected by such opaque algorithms. Answers to why-questions can be crucial to maintaining our autonomy and using opaque algorithms to make decisions that are central to our life plans thus threatens that autonomy.</div> <br /><div><strong>Bram Vaassen</strong> is a Swedish Research Council post-doctoral fellow at Umeå University and a visiting research fellow at Rutgers University. Most of his research focuses on causation and explanation, and its applications in metaphysics, philosophy of mind,  and philosophy of AI.</div> <div><span id="ms-rterangecursor-start"><br /></span></div> <div><a href="https://ui.ungpd.com/Surveys/ac7868e4-75c0-4893-864b-2b72612857d2" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Register here to receive the link to the seminar</a><br /></div>https://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/Artificial-intelligence-and-the-future-of-higher-education.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/Artificial-intelligence-and-the-future-of-higher-education.aspxArtificial intelligence and the future of higher education<p>A Working Lab, office building, Sven Hultins Plats 5, Campus Johanneberg</p><p>​AI technology is advancing faster than ever, and especially after the launch in late 2022 of OpenAI’s ChatGPT it has become widely recognized that AI has a transformative potential in higher education and also in other sectors of society. The purpose of this seminar is to reflect, with particular focus on higher education, on our future with AI, its challenges and opportunities, and what we can do now to nudge it in desirable directions.</p>​Organizer: Chalmers AI Research Centre, CHAIR.<br /><br /><div>Registration is open to anyone who is interested, externally and internally, but the number of participants is limited.<br /></div> <div><span>Registration <span style="display:inline-block"> dead</span></span>line: 20 February.</div> The seminar takes place in Swedish. Read more about it at the <a href="/sv/styrkeomraden/ikt/kalendarium/Sidor/Artificiell-intelligens-och-den-hogre-utbildningens-framtid.aspx">Swedish calendar page</a>.<br />https://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/CHAIR-SU-Workshop-–-The-Learning-Hospital.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/CHAIR-SU-Workshop-%E2%80%93-The-Learning-Hospital.aspxCHAIR-SU Workshop: The Learning Hospital<p>The house of William Chalmers, house, Södra Hamngatan 11, Göteborg</p><p>​Chalmers AI Research Centre and Sahlgrenska University Hospital are organizing a workshop on the theme “The Learning Hospital”. The workshop is aimed at researchers and clinicians who are interested in how analysts and healthcare providers can best work together to improve machine learning (ML) and artificial intelligence for decision-making in health.</p><div>​The event will host international and local speakers with experience in applying and/or deploying machine learning in healthcare and will feature interactive workshop sessions with the goal to find out how Chalmers and Sahlgrenska can grow together in this field. We ask questions like: How should ML systems be built, deployed, and evaluated to guarantee continuous high-quality care? How should clinical data be collected, stored, and used to support causal inferences about the effects of clinical policy? What needs to change about ML to work effectively in a hospital setting?</div> <h3 class="chalmersElement-H3">Speakers</h3> <div> <em><strong>Morning sessions (until lunch):</strong></em></div> <strong>Ann-Marie Wennberg Larkö</strong> (Sahlgrenska University Hospital, Gothenburg University)<br /><div><strong></strong><span><strong>Uri Shalit</strong> (Technion - Israel Institute of Technology)<span style="display:inline-block"><br /></span></span></div> <div><span><strong>Giovanni Cinà</strong> (Pacmed and University of Amsterdam)<span style="display:inline-block"></span></span></div> <div><span><span style="display:inline-block"><br /></span></span></div> <div><span><em><strong>Afternoon sessions:</strong></em></span></div> <strong>Narges Razavian</strong> (New York University)<br /><b>Nathaniel Swinburne</b> (Memorial Sloan Kettering Cancer Centre)​<br /> <div> </div> <div>The final program is in development.</div> <div> </div> <div><a href="https://www.healthyai.se/workshop/" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />More information about the workshop</a></div> <div> </div> <div><a href="https://ui.ungpd.com/Surveys/556f97c9-55f6-4557-8376-4bbb56c6df2e" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Registration<br /></a></div> <div>Registration deadline: 23 February<br /></div>