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BEGIN:VEVENT
SUMMARY:Uri Alon (Weizmann Institute of Science)
DTSTART:20200730T180000Z
DTEND:20200730T193000Z
DTSTAMP:20260404T100033Z
UID:SimonsInstitute-TSS/1
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/Simon
 sInstitute-TSS/1/">The Mathematical Essence of Aging</a>\nby Uri Alon (Wei
 zmann Institute of Science) as part of Simons Institute Theoretically Spea
 king\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/SimonsInstitute-TSS/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Michael Kearns (University of Pennsylvania)
DTSTART:20201014T180000Z
DTEND:20201014T193000Z
DTSTAMP:20260404T100033Z
UID:SimonsInstitute-TSS/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/Simon
 sInstitute-TSS/2/">The Ethical Algorithm</a>\nby Michael Kearns (Universit
 y of Pennsylvania) as part of Simons Institute Theoretically Speaking\n\n\
 nAbstract\nMany recent mainstream media articles and popular books have ra
 ised alarms over antisocial algorithmic behavior\, especially regarding ma
 chine learning and artificial intelligence. The concerns include leaks of 
 sensitive personal data by predictive models\, algorithmic discrimination 
 as a side effect of machine learning\, and inscrutable decisions made by c
 omplex models. While standard and legitimate responses to these phenomena 
 include calls for stronger and better laws and regulations\, researchers i
 n machine learning\, statistics\, and related areas are also working on de
 signing better-behaved algorithms. An explosion of recent research in area
 s such as differential privacy\, algorithmic fairness\, and algorithmic ga
 me theory is forging a new science of socially aware algorithm design. Kea
 rns will survey these developments and attempt to place them in a broader 
 societal context. This talk is based on the book The Ethical Algorithm\, c
 o-authored with Aaron Roth (Oxford University Press).\n
LOCATION:https://stable.researchseminars.org/talk/SimonsInstitute-TSS/2/
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BEGIN:VEVENT
SUMMARY:Seny Kamara (Brown University Department of Computer Science and A
 roki Systems)\, Shalini Kantayya (7th Empire Media and UC Berkeley Graduat
 e School of Journalism)\, Sendhil Mullainathan (University of Chicago Boot
 h School of Business)\, Omer Reingold (Stanford University Computer Scienc
 e Department)\, Patricia Williams (Northeastern University School of Law)\
 , and Ashia Wilson (MIT\, moderator)
DTSTART:20210507T180000Z
DTEND:20210507T200000Z
DTSTAMP:20260404T100033Z
UID:SimonsInstitute-TSS/4
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/Simon
 sInstitute-TSS/4/">A Panel Discussion on the Film Coded Bias</a>\nby Seny 
 Kamara (Brown University Department of Computer Science and Aroki Systems)
 \, Shalini Kantayya (7th Empire Media and UC Berkeley Graduate School of J
 ournalism)\, Sendhil Mullainathan (University of Chicago Booth School of B
 usiness)\, Omer Reingold (Stanford University Computer Science Department)
 \, Patricia Williams (Northeastern University School of Law)\, and Ashia W
 ilson (MIT\, moderator) as part of Simons Institute Theoretically Speaking
 \n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/SimonsInstitute-TSS/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Anil Ananthaswamy\, James DiCarlo\, Grace Lindsay\, Jitendra Malik
 \, Santosh Vempala
DTSTART:20211018T183000Z
DTEND:20211018T200000Z
DTSTAMP:20260404T100033Z
UID:SimonsInstitute-TSS/5
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/Simon
 sInstitute-TSS/5/">Deep Nets and the Primate Visual System</a>\nby Anil An
 anthaswamy\, James DiCarlo\, Grace Lindsay\, Jitendra Malik\, Santosh Vemp
 ala as part of Simons Institute Theoretically Speaking\n\n\nAbstract\nThe 
 primate visual cortex is one of the best studied parts of the primate brai
 n. Insights gained from studies of biological vision led to great advances
  in AI\, particularly in the development of convolutional neural networks 
 for image recognition. Now\, such artificial neural networks are repaying 
 their debt to neuroscience. Computational models built using deep neural n
 etworks are beginning to illuminate the workings of the primate visual sys
 tem. This panel\, comprised of experts in the field\, will discuss and deb
 ate the strengths and limitations of using deep net-based models to unders
 tand biological vision.\n
LOCATION:https://stable.researchseminars.org/talk/SimonsInstitute-TSS/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Ehud Shapiro (Weizmann Institute and Columbia University)
DTSTART:20211210T190000Z
DTEND:20211210T203000Z
DTSTAMP:20260404T100033Z
UID:SimonsInstitute-TSS/6
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/Simon
 sInstitute-TSS/6/">Theoretically Speaking — Foundations for a Democratic
  Metaverse</a>\nby Ehud Shapiro (Weizmann Institute and Columbia Universit
 y) as part of Simons Institute Theoretically Speaking\n\nLecture held in C
 alvin Lab auditorium and Zoom webinar.\n\nAbstract\nWhile our physical liv
 es are mostly in democracies (one person\, one vote — e.g.\, the United 
 States)\, our digital lives are mostly in autocracies (one person\, all vo
 tes — e.g.\, Facebook). Cryptocurrencies promise liberation but stop sho
 rt at plutocracy (one coin\, one vote). What would it take for us to live 
 in a digital democracy?\n\nThe key obstacle to digital equality\, and henc
 e to digital democracy\, is fake and duplicate digital identities\, aka Sy
 bils. Facebook eliminates billions of Sybils every quarter\, and even if i
 t would have a revelation and decide to go democratic\, it is technically 
 unable to. Cryptocurrencies employ plutocratic proof of work (or stake) fo
 r lack of a better way to defend against Sybils.\n\nOur aim is to develop 
 from the ground up the theory for a network of autonomous\, people-owned\,
  personal-device-operated\, democratically governed digital communities\, 
 namely a democratic metaverse. This talk will review our progress toward t
 his goal.\n\nRegistration required to attend: https://simons.berkeley.edu/
 events/shapiro\n
LOCATION:https://stable.researchseminars.org/talk/SimonsInstitute-TSS/6/
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