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ORGANIZER;CN=Daniele Quercia:mailto:[email protected]
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r-nexa.polito.it:mailto:[email protected]
DESCRIPTION;LANGUAGE=en-US:The Means of Prediction: How AI Really Works (an
d Who Benefits)\nMaximilian Kasy\, University of Oxford\n\nMS Teams Link<h
ttps://teams.microsoft.com/meet/350090038638838?p=JdPGOw9uOZ4WEq41fV>\n\nF
ormat: 35 min talk + 25 min Q&A\n\nAI is inescapable\, from its mundane us
es online to its increasingly consequential decision-making in courtrooms\
, job interviews\, and wars. The ubiquity of AI is so great that it might
produce public resignation—a sense that the technology is our shared fat
e. As economist Maximilian Kasy shows in The Means of Prediction\, artific
ial intelligence\, far from being an unstoppable force\, is irrevocably sh
aped by human decisions—choices made to date by the ownership class that
steers its development and deployment. Kasy shows that the technology of
AI is ultimately not that complex. It is insidious\, however\, in its capa
city to steer results to its owners’ wants and ends. Kasy clearly and ac
cessibly explains the fundamental principles on which AI works\, and\, in
doing so\, reveals that the real conflict isn’t between humans and machi
nes\, but between those who control the machines and the rest of us.\n\nTh
e Means of Prediction offers a powerful vision of the future of AI: a futu
re not shaped by technology\, but by the technology’s owners. Amid a del
uge of debates about technical details\, new possibilities\, and social pr
oblems\, Kasy cuts to the core issue: Who controls AI’s objectives\, and
how is this control maintained? The answer lies in what he calls “the m
eans of prediction\,” or the essential resources required for building A
I systems: data\, computing power\, expertise\, and energy. As Kasy shows\
, in a world already defined by inequality\, one of humanity’s most cons
equential technologies has been and will be steered by those already in po
wer. Against those stakes\, Kasy offers an elegant framework both for unde
rstanding AI’s capabilities and for designing its public control. He mak
es a compelling case for democratic control over AI objectives as the answ
er to mounting concerns about AI’s risks and harms. The Means of Predict
ion is a revelation\, both an expert undressing of a technology that has m
asqueraded as more complicated and a compelling call for public oversight
of this transformative technology.\n\n\nMaximilian Kasy is Professor of Ec
onomics at the University of Oxford.\nHe received his PhD at UC Berkeley a
nd joined Oxford after appointments at UCLA and Harvard University. His re
search interests focus on social foundations for statistics and machine le
arning\, going beyond traditional single-agent decision theory. He also wo
rks on economic inequality\, job guarantee programs\, and basic income. He
teaches a course on foundations of machine learning at the economics depa
rtment at Oxford. In fall 2025\, his book "The Means of Prediction: How AI
Really Works (and Who Benefits)" was published by University of Chicago P
ress.\n\n\nSubscribe to future talk announcements: Anyone outside Bell Lab
s can receive talk announcements by subscribing to the mailing list. To su
bscribe\, send an empty email with the subject line "Subscribe RAI” to d
[email protected]\n\n______________________________________________
__________________________________\nMeeting ID: 350 090 038 638 838\nPassc
ode: zU7z5tU2\n\n\n\n\n
UID:040000008200E00074C5B7101A82E0080000000067972512A8EEDC01000000000000000
0100000002071F982342C3A449790CC8D1E39ACDF
SUMMARY;LANGUAGE=en-US:[Responsible AI] The Means of Prediction: How AI Rea
lly Works\, Maximilian Kasy\, University of Oxford
DTSTART;TZID=GMT Standard Time:20260608T153000
DTEND;TZID=GMT Standard Time:20260608T163000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260528T134522Z
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