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DTSTART;TZID=Europe/Rome:20260421T131500
DTEND;TZID=Europe/Rome:20260421T140000
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DTSTAMP:20260421T174602
SUMMARY:LK02 Special Day Lunchtime Keynote "On My Perfect Life: A Tenured Position While AI Does The Job"
URL;VALUE=URI:https://date26date-conference.com/programme#LK02
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DESCRIPTION:Get the latest session information at
https://date26date-conference.com/programme#LK02\n\n\nArtificial
Intelligence is reshaping how we explore, create, and teach. Tasks once
considered inherently human are now increasingly delegated to systems that
appear to reason, learn, and even invent. This development challenges
long-standing notions of expertise, authorship, and the role of human
judgment in science and education.\nThrough this development, AI already
influences how research is conducted, published, and taught - often with
remarkable efficiency, yet also with opaque mechanisms and uncertain
reliability. The enthusiasm surrounding these tools must be balanced by a
critical assessment of their capabilities and limitations. What AI systems
produce can be impressive, but the results often lack genuine
understanding of user intent. The central question is how to preserve
creativity, responsibility, and depth of insight in a world where machines
can assist with almost everything - except understanding of what they
do.\nThrough this development, AI already influences how research is
conducted, published, and taught - often with remarkable efficiency, yet
also with opaque mechanisms and uncertain reliability. The enthusiasm
surrounding these tools must be balanced by a critical assessment of their
capabilities and limitations. What AI systems produce can be impressive,
but their results often lack genuine understanding or intent. The central
question is how to preserve creativity, responsibility, and depth of
insight in a world where machines can assist with almost everything -
except understanding what they do.
X-ALT-DESC;FMTTYPE=text/html:Get the latest session
information at https://date26date-conference.com/programme#LK02
Artificial
Intelligence is reshaping how we explore, create, and teach. Tasks once
considered inherently human are now increasingly delegated to systems that
appear to reason, learn, and even invent. This development challenges
long-standing notions of expertise, authorship, and the role of human
judgment in science and education.Through this development, AI already
influences how research is conducted, published, and taught - often with
remarkable efficiency, yet also with opaque mechanisms and uncertain
reliability. The enthusiasm surrounding these tools must be balanced by a
critical assessment of their capabilities and limitations. What AI systems
produce can be impressive, but the results often lack genuine
understanding of user intent. The central question is how to preserve
creativity, responsibility, and depth of insight in a world where machines
can assist with almost everything - except understanding of what they
do.Through this development, AI already influences how research is
conducted, published, and taught - often with remarkable efficiency, yet
also with opaque mechanisms and uncertain reliability. The enthusiasm
surrounding these tools must be balanced by a critical assessment of their
capabilities and limitations. What AI systems produce can be impressive,
but their results often lack genuine understanding or intent. The central
question is how to preserve creativity, responsibility, and depth of
insight in a world where machines can assist with almost everything -
except understanding what they do.
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