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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260421T194522Z
DTSTART;TZID=Europe/Prague:20260518T093000
DTEND;TZID=Europe/Prague:20260519T170000
SUMMARY:EMW XIV: Aesthetic Attention
UID:20260424T072440Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:Europe/Prague
LOCATION:Husova 4\, Praha\, Czech Republic\, 110 00
DESCRIPTION:<p>We cordially invite submissions for the 14th&nbsp\;Ernst Mach Workshop\, which will focus on the role of aesthetic attention in shaping aesthetic experience and cognitive engagement with the world. The workshop aims to explore how aesthetic attention works and how it influences the appreciation of art and nature\, examining its interplay with perception\, emotion\, and cognitive states. Particular emphasis will be given to modes of aesthetic attention across a range of artistic genres\, including painting\, sculpture\, photography\, literature and music\, as well as conceptual art and even AI-generated art.&nbsp\;</p>\n<p>Contributions are welcome from scholars working in aesthetics and the philosophy of mind\, as well as from cognitive scientists\, experimental psychologists and neuroscientists. There is no registration fee for the event.&nbsp\;</p>\n<p>Submission deadline:&nbsp\;<strong>March 20\, 2026</strong>. Submission portal for anonymized 300-word abstracts:&nbsp\;https://emw14.sciencesconf.org/</p>\n<p>Inquiries at&nbsp\;emw@flu.cas.cz</p>
ORGANIZER;CN=Juraj Hvorecky;CN=Tomas Marvan;CN=Tomas Koblizek:
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BEGIN:VEVENT
DTSTAMP:20260421T194522Z
DTSTART;TZID=Europe/Prague:20260601T090000
DTEND;TZID=Europe/Prague:20260602T170000
SUMMARY:"Ignorance\, Opacity\, and Dependence: Epistemic Challenges for Scientists in the Age of AI"
UID:20260424T072441Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:Europe/Prague
LOCATION:Jilská 352\, Staré Město\, Czech Republic\, 110 00
DESCRIPTION:<p>This workshop aims to explore how AI reshapes the scientists' epistemic environment. What kinds of ignorance does AI mitigate\, and what new forms does it generate? How should we conceptualize epistemic dependence on complex computational systems? Can scientific understanding survive&mdash\;or even thrive&mdash\;under conditions of opacity?</p>\n\n<p>We welcome contributions from philosophy of science\, epistemology\, philosophy of AI\, logic\, and related disciplines addressing (but not limited to) the following questions:</p>\n<ul>\n<li>Does reliance on AI systems undermine or transform scientific understanding?</li>\n<li>What is the epistemic status of results produced by opaque or non-interpretable models?</li>\n<li>How should we conceptualize epistemic dependence in AI-mediated research?</li>\n<li>Are new norms of justification required in computationally intensive sciences?</li>\n<li>How should we understand epistemic trust in the context of proprietary (usually corporate-controlled) AI systems?</li>\n<li>How does AI-mediated research reshape the division of epistemic labor within scientific communities?&nbsp\;</li>\n<li>Does the use of AI systems shift the epistemic agency from individual scientists to distributed (human-AI) collectives?&nbsp\;</li>\n<li>Can ignorance generated by AI systems be epistemically productive?</li>\n<li>How should responsibility and accountability be distributed in AI-supported research?</li>\n<li>What role should transparency\, interpretability\, and explainability play in scientific practice?</li>\n<li>Do AI-driven methods challenge traditional distinctions between data\, models\, and theories?</li>\n</ul>
ORGANIZER;CN="Vít Gvoždiak";CN="María del Rosario Martínez-Ordaz":
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