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DESCRIPTION:This is a weekly session of the CIT Summer Series\, with David 
 A Fisher presenting Why Software Fails and Why AI cannot Help :\n\nIt was 
 once widely believed that computers would enhance the speed\, reliability\
 , and applicability of human deductive reasoning in the physical and socia
 l sciences\, much as motorized vehicles (e.g.\, cars\, trains\, airplanes)
  have enhanced the speed\, reliability\, and applicability of human manual
  abilities in transportation. Yet\, 60 years later\, computers can be used
  confidently only for paperwork tasks\, analysis of regularly structured d
 ata\, and simple process control applications. Complex software rarely sat
 isfies user needs\, is untrustworthy and difficult to maintain\, and large
 ly opaque to its users. Artificial intelligence (AI) methods including heu
 ristics\, machine learning\, and statistical methods are in opposition to 
 sound deductive reasoning. This presentation explains certain practical an
 d logical impediments to computer enhancement of human deductive reasoning
 \, the deductive limitations of modern programming languages\, the role of
  AI\, and provides some promising alternatives.\n\nSpeaker(s): David A Fis
 her\, \n\nVirtual: https://events.vtools.ieee.org/m/364005
LOCATION:Virtual: https://events.vtools.ieee.org/m/364005
ORGANIZER:mviron@findaschool.net
SEQUENCE:37
SUMMARY:CIT Summer Series - David A. Fisher - Why Software Fails and Why AI
  cannot Help
URL;VALUE=URI:https://events.vtools.ieee.org/m/364005
X-ALT-DESC:Description: <br /><p>This is a weekly session of the CIT Summer
  Series\, with David A Fisher presenting <strong>Why Software Fails and Wh
 y AI cannot Help</strong>&nbsp\;:</p>\n<p>It was once widely believed that
  computers would enhance the speed\, reliability\, and applicability of hu
 man deductive reasoning in the physical and social sciences\, much as moto
 rized vehicles (e.g.\, cars\, trains\, airplanes) have enhanced the speed\
 , reliability\, and applicability of human manual abilities in transportat
 ion. Yet\, 60 years later\, computers can be used confidently only for pap
 erwork tasks\, analysis of regularly structured data\, and simple process 
 control applications. Complex software rarely satisfies user needs\, is un
 trustworthy and difficult to maintain\, and largely opaque to its users. A
 rtificial intelligence (AI) methods including heuristics\, machine learnin
 g\, and statistical methods are in opposition to sound deductive reasoning
 . This presentation explains certain practical and logical impediments to 
 computer enhancement of human deductive reasoning\, the deductive limitati
 ons of modern programming languages\, the role of AI\, and provides some p
 romising alternatives.</p>
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