BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Central Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20260924T185616Z DESCRIPTION:Speaker:\nMayank Agrawal\, Co-founder and CEO\, Proof of Human\ n\n\nTitle:\nProof of Human: the Invisible Turing Test for the Internet\n\ n\nAbstract: \nThis presentation introduces the Process Turing Test\, a ne w framework for distinguishing humans from AI that goes beyond linguistic output to analyze behavioral dynamics. As LLMs routinely pass text-based T uring Tests\, we need methods that probe the underlying architecture of in telligence through perception\, control\, and decision-making patterns. Us ing process tracing data from canonical cognitive tasks\, we demonstrate h ow behavioral embeddings capture computational signatures unique to human cognition. This provides robust proof-of-personhood that resists adversari al attacks while revealing fundamental principles about how humans and mac hines process information differently.\n\n\nSpeaker Bio:\nMayank Agrawal < https://mayank-agrawal.com/> is the co-founder and CEO of Proof of Human\ , a research and deployment company building the proof-of-human layer in d igital identity. The company develops high-impact research and translates that work into systems for bot detection\, fraud prevention\, and continuo us authentication. Mayank’s work focuses on new approaches to distinguis hing humans from AI through behavioral and cognitive signals. He earned hi s PhD in Psychology and Neuroscience from Princeton University\, where he studied computational models of human decision-making with Jonathan Cohen\ , Tom Griffiths\, and Nathaniel Daw. His research spans cognitive science\ , machine learning\, and artificial intelligence\, with work published in Science\, PNAS\, and Psychological Review. He previously studied Computer Science and Philosophy at Swarthmore College.\n\nLocation:\nIn person: Cha mbers Hall\, 600 Foster Street\, Lower Level\nRemote option: https://nort hwestern.zoom.us/j/96392420891 \nPasscode: NICO26\n\n\nAbout the S peaker Series:\nWednesdays@NICO is a vibrant weekly seminar series focusin g broadly on the topics of complex systems\, networks\, and artificial int elligence. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern\, from appl ied math to sociology to biology and every discipline in-between. Please v isit: https://bit.ly/WedatNICO for information on future speakers.\n \n DTEND;TZID="Central Standard Time":20261111T130000 DTSTAMP:20260924T185616Z DTSTART;TZID="Central Standard Time":20261111T120000 LAST-MODIFIED:20260924T185616Z LOCATION:Chambers Hall (600 Foster St\, Evanston\, IL 60201) PRIORITY:5 RECURRENCE-ID;TZID="Central Standard Time":20261111T120000 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Wed@NICO: Mayank Agrawal\, Proof of Human TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000A06CD56D854BDD01000000000000000 010000000FD502B7634EB0B4F84204E9F72ECF6B8 X-ALT-DESC;FMTTYPE=text/html:

< p class=MsoNormal>Speaker:

Mayank Agrawal\, Co-founder and CEO\, Proof of Human

T itle:

Proof of Human: the Invisible Turing Test for the Internet

Abstract: \;

This presentat ion introduces the Process Turing Test\, a new framework for distinguishin g humans from AI that goes beyond linguistic output to analyze behavioral dynamics. As LLMs routinely pass text-based Turing Tests\, we need methods that probe the underlying architecture of intelligence through perception \, control\, and decision-making patterns. Using process tracing data from canonical cognitive tasks\, we demonstrate how behavioral embeddings capt ure computational signatures unique to human cognition. This provides robu st proof-of-personhood that resists adversarial attacks while revealing fu ndamental principles about how humans and machines process information dif ferently.

Speaker Bio:

Mayank Agrawal is t he co-founder and CEO of Proof of Human\, a research and deployment compan y building the proof-of-human layer in digital identity. The company devel ops high-impact research and translates that work into systems for bot detection\, fraud prevention\, and continuous authe ntication. Mayank’\;s work focuses on new approaches to distinguishin g humans from AI through behavioral and cognitive signals. He earned his P hD in Psychology and Neuroscience from Princeton University\, where he stu died computational models of human decision-making with Jonathan Cohen\, T om Griffiths\, and Nathaniel Daw. His research spans cognitive science\, m achine learning\, and artificial intelligence\, with work published in Sci ence\, PNAS\, and Psychological Review. He previously studied Computer Sci ence and Philosophy at Swarthmore College.

Location:

In person: Chamber s Hall\, 600 Foster Street\, Lower Level
Remote option: \; https://northwestern.zoom.us /j/96392420891
Passcode: NICO26

About th e Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems\, networks\, and artificial intelligence . It brings together attendees ranging from graduate students to senior fa culty who span all of the schools across Northwes tern\, from applied math to sociology to biology and every discipline in-b etween. Please visit: https://bit.ly/We datNICO for information on future speakers.

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