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DTSTAMP:20240629T142954Z
UID:E3D2619E-7C02-46FB-ADFA-53A641E9BC36
DTSTART;TZID=America/New_York:20240620T160000
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DESCRIPTION:It was once widely believed that computers would enhance the sp
 eed\, reliability\, and applicability of human deductive reasoning in the 
 physical and social sciences\, much as motorized vehicles (e.g.\, cars\, t
 rains\, airplanes) have enhanced the speed\, reliability\, and applicabili
 ty of human manual abilities in transportation. Yet\, 60 years later\, com
 puters can be used confidently only for paperwork tasks\, analysis of regu
 larly structured data\, and simple process control applications. Complex s
 oftware rarely satisfies user needs\, is untrustworthy and difficult to ma
 intain\, and largely opaque to its users. Artificial intelligence (AI) met
 hods including heuristics\, machine learning\, and statistical methods are
  in opposition to sound deductive reasoning. This presentation explains ce
 rtain practical and logical impediments to computer enhancement of human d
 eductive reasoning\, the deductive limitations of modern programming langu
 ages\, the role of AI\, and provides some promising alternatives.\n\nSpeak
 er(s): David Fisher\, \n\nAgenda: \n4 pm - Introductions\, Start of talk\,
 \n5 pm - End of talk\, Q&A\n5:15 pm - End of event\n\nRoom: M 218\, Bldg: 
 Buell Building\, 21000 West Ten Mile Road\, Southfield\, Michigan\, United
  States\, 48075
LOCATION:Room: M 218\, Bldg: Buell Building\, 21000 West Ten Mile Road\, So
 uthfield\, Michigan\, United States\, 48075
ORGANIZER:sharan.kalwani@ieee.org
SEQUENCE:44
SUMMARY:Why Software Fails and Why AI cannot Help
URL;VALUE=URI:https://events.vtools.ieee.org/m/422470
X-ALT-DESC:Description: <br /><p style="text-align: justify\;">It was once 
 widely believed that computers would enhance the speed\, reliability\, and
  applicability of human deductive reasoning in the physical and social sci
 ences\, much as motorized vehicles (e.g.\, cars\, trains\, airplanes) have
  enhanced the speed\, reliability\, and applicability of human manual abil
 ities in transportation. Yet\, 60 years later\, computers can be used conf
 idently only for paperwork tasks\, analysis of regularly structured data\,
  and simple process control applications. Complex software rarely satisfie
 s user needs\, is untrustworthy and difficult to maintain\, and largely op
 aque to its users. Artificial intelligence (AI) methods including heuristi
 cs\, machine learning\, and statistical methods are in opposition to sound
  deductive reasoning. This presentation explains certain practical and log
 ical impediments to computer enhancement of human deductive reasoning\, th
 e deductive limitations of modern programming languages\, the role of AI\,
  and provides some promising alternatives.</p><br /><br />Agenda: <br /><p
 >4 pm - Introductions\, Start of talk\,<br>5 pm - End of talk\, Q&amp\;A<b
 r>5:15 pm - End of event</p>
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