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DTSTART:20001029T030000
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BEGIN:VEVENT
UID:20261113T015537Z - 93052@eu652a.odoo.com
DTSTART;TZID=Europe/Berlin:20261203T183000
DTEND;TZID=Europe/Berlin:20261203T213000
CREATED:20261113T015537Z
DESCRIPTION:<a href="https://www.brewing-minds.com/event/restart-ai-152">Re
 start AI:</a>\nOverview ⏱️ Schedule: Doors 18:30 → Talk 19:00 → Q&
 A → Mingle 🌐 Language: English Artificial intelligence is being built
  into more and more parts of our lives. But while the technology is advanc
 ing at extraordinary speed\, a more fundamental question often gets left b
 ehind: what kind of AI are we actually building – and who is it supposed
  to serve? Behind today's AI boom are problems that cannot be solved simpl
 y by making models faster\, smarter\, or more efficient. The industry depe
 nds on enormous amounts of data\, labour\, energy\, and natural resources.
  Responsibility for the harms of AI products is neglected by companies. An
 d the priorities driving technological development do not necessarily alig
 n with the needs of society. In this lecture\, Dr. Theresa Züger will exa
 mine some of the structural problems behind AI development today – from 
 extractivism and sustainability to responsibility and societal harm – be
 fore asking what it would mean to start again from a different premise. Ra
 ther than looking for another technological quick fix\, she will introduce
  the idea of AI in the public interest: an approach that asks us to evalua
 te technology according to the value it creates for society. What would ch
 ange if we expected AI to serve human rights\, sustainability\, inclusion\
 , and the common good? Who should get to define those goals? And are there
  already examples that point toward a different technological future? This
  is not a lecture about fixing AI with a better algorithm. It is an invita
 tion to rethink what we demand from technology in the first place. What we
 'll cover What is going wrong with AI development today – from extractiv
 ism and environmental costs to responsibility and societal harm How we can
  begin thinking about alternative approaches to developing and evaluating 
 AI What AI in the public interest means – and what changes when technolo
 gy is expected to [...]
DTSTAMP:20261113T015537Z
LOCATION:Alter Roter Löwe\, Richardstr. 31-32\, 12043 Berlin\, Germany
SUMMARY:Restart AI:
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.brewing-minds.com/event/r
 estart-ai-152">Restart AI:</a>\nOverview ⏱️ Schedule: Doors 18:30 → 
 Talk 19:00 → Q&A → Mingle 🌐 Language: English Artificial intelligen
 ce is being built into more and more parts of our lives. But while the tec
 hnology is advancing at extraordinary speed\, a more fundamental question 
 often gets left behind: what kind of AI are we actually building – and w
 ho is it supposed to serve? Behind today's AI boom are problems that canno
 t be solved simply by making models faster\, smarter\, or more efficient. 
 The industry depends on enormous amounts of data\, labour\, energy\, and n
 atural resources. Responsibility for the harms of AI products is neglected
  by companies. And the priorities driving technological development do not
  necessarily align with the needs of society. In this lecture\, Dr. Theres
 a Züger will examine some of the structural problems behind AI developmen
 t today – from extractivism and sustainability to responsibility and soc
 ietal harm – before asking what it would mean to start again from a diff
 erent premise. Rather than looking for another technological quick fix\, s
 he will introduce the idea of AI in the public interest: an approach that 
 asks us to evaluate technology according to the value it creates for socie
 ty. What would change if we expected AI to serve human rights\, sustainabi
 lity\, inclusion\, and the common good? Who should get to define those goa
 ls? And are there already examples that point toward a different technolog
 ical future? This is not a lecture about fixing AI with a better algorithm
 . It is an invitation to rethink what we demand from technology in the fir
 st place. What we'll cover What is going wrong with AI development today 
 – from extractivism and environmental costs to responsibility and societ
 al harm How we can begin thinking about alternative approaches to developi
 ng and evaluating AI What AI in the public interest means – and what cha
 nges when technology is expected to [...]
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