BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20211207T190109Z DESCRIPTION:JHU/APL Colloquium - www.jhuapl.edu/colloquium \n \nTOPIC: Why AI is Harder Than We Think\n \nSPEAKER : Melanie Mitchell\, Santa Fe Institute\n \nSince its beginning in the 19 50s\, the field of artificial intelligence has cycled several times betwee n periods of optimistic predictions and massive investment (“AI Spring ”) and periods of disappointment\, loss of confidence\, and reduced fund ing (“AI Winter”). Even with today’s seemingly fast pace of AI brea kthroughs\, the development of long-promised technologies such as self-dri ving cars\, housekeeping robots\, and conversational companions has turne d out to be much harder than many people expected. \n \nOne reason for the se repeating cycles is our limited understanding of the nature and complex ity of intelligence itself. In this talk I will discuss some fallacies in common assumptions made by AI researchers\, which can lead to overconfide nt predictions about the field. I will also speculate on what is needed f or the grand challenge of making AI systems more robust\, general\, and ad aptable—in short\, more intelligent.\n \nMelanie Mitchell is the Davis P rofessor of Complexity at the Santa Fe Institute. Her current research fo cuses on conceptual abstraction\, analogy-making\, and visual recognition in artificial intelligence systems. Melanie is the author or editor of s ix books and numerous scholarly papers in the fields of artificial intelli gence\, cognitive science\, and complex systems. Her book Complexity: A Gu ided Tour (Oxford University Press) won the 2010 Phi Beta Kappa Science Bo ok Award and was named by Amazon.com as one of the ten best science books of 2009. Her latest book is Artificial Intelligence: A Guide for Thinking Humans (Farrar\, Straus\, and Giroux).\n \n_______________________________ _\n\n \nYou are invited to a Zoom webinar.\nWhen: Jan 21\, 2022 02:00 PM E astern Time (US and Canada)\nTopic: Colloquium - Melanie Mitchell-Why AI i s Harder Than We Think\n \nPlease click the link below to join the webinar :\nhttps://jhuapl.zoomgov.com/j/1611852161?pwd=blVoYnNGTVc3NkdCZVgyMy9tcnB KQT09\nPasscode: 304596\nOr One tap mobile : \n US: +16692545252\,\,161 1852161#\,\,\,\,*304596# or +16468287666\,\,1611852161#\,\,\,\,*304596# \ nOr Telephone:\n Dial(for higher quality\, dial a number based on your current location):\n US: +1 669 254 5252 or +1 646 828 7666 or +1 669 216 1590 or +1 551 285 1373 or 833 568 8864 (Toll Free)\nWebinar ID : 161 185 2161\nPasscode: 304596\n International numbers available: htt ps://jhuapl.zoomgov.com/u/adtPeTpEbs\n \nOr an H.323/SIP room system:\n H.323: 161.199.138.10 (US West) or 161.199.136.10 (US East)\n Meeting ID: 161 185 2161\n Passcode: 304596\n SIP: 1611852161@sip.zoomgov.co m \n Passcode: 304596\n \n DTEND;TZID="Eastern Standard Time":20220121T150000 DTSTAMP:20211207T190109Z DTSTART;TZID="Eastern Standard Time":20220121T140000 LAST-MODIFIED:20211207T190109Z LOCATION:Zoom.Gov online webinar PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Colloquium - Melanie Mitchell - Santa Fe Institute TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000D078DAB738A9D701000000000000000 010000000CE31B6B975EAD14B8A99DF87096F8973 X-ALT-DESC;FMTTYPE=text/html:

JHU/APL Colloquium - www.jhuapl.edu/collo quium

 \;

TOPIC:  Why AI is Harder Than We Think

 \;

SPEAKER:  Melanie Mitchell\, Santa Fe I nstitute

 \;

Since its beginning in the 19 50s\, the field of artificial intelligence has cycled several times betwee n periods of optimistic predictions and massive investment (“\;AI Spr ing”\;) and periods of disappointment\, loss of confidence\, and redu ced funding (“\;AI Winter”\;).  Even with today’\;s seemingly fast pace of AI breakthroughs\, the development of long-promised technologies such as self-driving cars\, housekeeping robots\, and conversational companions  has turned out to be much harder than many people expect ed.

 \;

One reason for these repeating cycles is our limited understanding of the nature and complexity of intelligence itself.  In this talk I will discu ss some fallacies in common assumptions made by AI researchers\, which can lead to overconfident predictions about the field.  I will also speculate on what is needed for the grand ch allenge of making AI systems more robust\, general\, and adaptable—\; in short\, more intelligent.

 \;

Melanie Mitchell is the Davis Professor of Comp lexity at the Santa Fe Institute.  Her current research focuses on conceptual abstraction\, analogy-making\, and visual recognition in artificial intelligence systems.   Melanie is the author or editor of six books an d numerous scholarly papers in the fields of artificial intelligence\, cog nitive science\, and complex systems. Her book Complexity: A Guided Tour ( Oxford University Press) won the 2010 Phi Beta Kappa Science Book Award an d was named by Amazon.com as one of the ten best science books of 2009. He r latest book is Artificial Intelligence: A Guide for Thinking Humans (Far rar\, Straus\, and Giroux).

 \;

< span style='font-size:12.0pt\;font-family:"Arial"\,sans-serif'>

 \;< /p>

You are invited to a Zoom webinar.

When: Jan 21\, 2022 02:00 PM Eastern Time (US and Canada)

Topic: Colloquium - Melanie Mitchell-Why AI is Harder Tha n We Think

 \;

Please click the link below to join the webinar:

https://jhuapl.zoomgov.com/j/1611852161?pwd=blVoYnN GTVc3NkdCZVgyMy9tcnBKQT09

Passcode: 3045 96

Or One tap mobile :

 \; \; \; \;US: +16692545252\,\,1611852161#\,\,\ ,\,*304596# \; or +16468287666\,\,1611852161#\,\,\,\,*304596#

Or Telephone:

 \;  \; \; Dial(for higher quality\, dial a number based on your curre nt location):

 \; \; \; \;&n bsp\; \; \; US: +1 669 254 5252 \; or +1 646 828 7666 \; o r +1 669 216 1590 \; or +1 551 285 1373 \; or 833 568 8864 (Toll F ree)

Webinar ID: 161 185 2161

Passcode: 304596

< span style='font-size:12.0pt\;font-family:"Arial"\,sans-serif'> \;&nbs p\; \; International numbers available: https://jhuapl.zoomgov.com/u/adtPeTpEbs

 \;

Or an H.323/SIP room system:

 \; \; \; H.323: 16 1.199.138.10 (US West) or 161.199.136.10 (US East)

 \; \; \; Meeting ID: 161 185 2161

 \; \; \; Passcode: 304596

 \; \; \; SIP: 1611852161@sip.zoomgov.com

< span style='font-size:12.0pt\;font-family:"Arial"\,sans-serif'> \;&nbs p\; \; Passcode: 304596

 \;

X-MICROSOFT-CDO-BUSYSTATUS:BUSY X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MS-OLK-AUTOFILLLOCATION:FALSE X-MS-OLK-CONFTYPE:0 BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR