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BEGIN:VEVENT
UID:/NewsandEvents/Archives/2018/newsitem/9915/14-
 --15-July-2018-Workshop-on-Explainable-Artificial-
 Intelligence-XAI-Stockholm-Sweden
DTSTAMP:20180426T164129
SUMMARY:Workshop on Explainable Artificial Intelli
 gence (XAI), Stockholm, Sweden
DTSTART;VALUE=DATE:20180714
DTEND;VALUE=DATE:20180715
LOCATION:Stockholm, Sweden
DESCRIPTION:Explainable AI (XAI) systems embody ex
 planation processes that allow users to gain insig
 ht into the system's models and decisions, with th
 e intent of improving the user's performance on a 
 related task. This raises several questions, such 
 as: how should explainable models be designed? How
  should user interfaces communicate decision makin
 g? What types of user interactions should be suppo
 rted? How should explanation quality be measured? 
 These questions are of interest to researchers, pr
 actitioners, and end-users, independent of what AI
  techniques are used. Solutions can draw from seve
 ral disciplines, including cognitive science, huma
 n factors, and psycholinguistics.  We welcome/enco
 urage submissions relevant to the topic of Explain
 able AI (XAI). Authors may submit long papers (6 p
 ages plus up to one page of references) or short p
 apers (4 pages plus up to one page of references).
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>Explainab
 le AI (XAI) systems embody explanation processes t
 hat allow users to gain insight into the system's 
 models and decisions, with the intent of improving
  the user's performance on a related task. This ra
 ises several questions, such as: how should explai
 nable models be designed? How should user interfac
 es communicate decision making? What types of user
  interactions should be supported? How should expl
 anation quality be measured? These questions are o
 f interest to researchers, practitioners, and end-
 users, independent of what AI techniques are used.
  Solutions can draw from several disciplines, incl
 uding cognitive science, human factors, and psycho
 linguistics.</p>\n</div><div>\n  <p>We welcome/enc
 ourage submissions relevant to the topic of Explai
 nable AI (XAI). Authors may submit <em>long</em> p
 apers (6 pages plus up to one page of references) 
 or <em>short</em> papers (4 pages plus up to one p
 age of references).</p>\n</div>
URL:http://home.earthlink.net/~dwaha/research/meet
 ings/faim18-xai/
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