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TZID:Europe/London
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TZOFFSETFROM:+0100
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DTSTART:20260603T140000
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BEGIN:VEVENT
UID:CiviCRM_EventID_96_3b79d502593e3d7f92580130e54fd34a@www.ephmra.org
SUMMARY:Webinar: Quality under AI: Detect\, Deter\, Defend
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC
  "-//W3C//DTD HTML 3.2//EN"><html><body><p style="
 margin-bottom:8px\;"><span style="font-size:12pt\;
 "><span style="line-height:115%\;"><span style="fo
 nt-family:Aptos\, sans-serif\;"><span style="font-
 size:10pt\;"><span style="line-height:115%\;"><spa
 n style="font-family:Calibri\, sans-serif\;">The w
 ebinar will cover:</span></span></span></span></sp
 an></span></p>\n \n <ul>\n 	<li style="margin-bott
 om:8px\;"><span style="font-size:12pt\;"><span><sp
 an style="line-height:115%\;"><span style="font-fa
 mily:Aptos\, sans-serif\;"><span style="font-size:
 10pt\;"><span style="line-height:115%\;"><span sty
 le="font-family:Calibri\, sans-serif\;">Unmask the
  Invisible Threat: Discover how AI is reshaping fr
 aud in pharma research and what it takes to stay a
 head of increasingly sophisticated synthetic respo
 ndents.</span></span></span></span></span></span><
 /span></li>\n 	<li style="margin-bottom:8px\;"><sp
 an style="font-size:12pt\;"><span><span style="lin
 e-height:115%\;"><span style="font-family:Aptos\, 
 sans-serif\;"><span style="font-size:10pt\;"><span
  style="line-height:115%\;"><span style="font-fami
 ly:Calibri\, sans-serif\;">From Risk to Resilience
 : Learn the latest industry‑ready techniques to de
 tect AI‑assisted fraud\, safeguard data integrity 
 and protect the credibility of your insights.</spa
 n></span></span></span></span></span></span></li>\
 n 	<li style="margin-bottom:8px\;"><span style="fo
 nt-size:12pt\;"><span><span style="line-height:115
 %\;"><span style="font-family:Aptos\, sans-serif\;
 "><span style="font-size:10pt\;"><span style="line
 -height:115%\;"><span style="font-family:Calibri\,
  sans-serif\;">AI\, The Problem <i>and</i> the Sol
 ution: See how cutting‑edge AI tools can strengthe
 n compliance\, elevate data quality\, and turn fra
 ud prevention into a competitive advantage.</span>
 </span></span></span></span></span></span></li>\n 
 </ul>\n \n <p style="margin-bottom:8px\;"><span st
 yle="font-size:12pt\;"><span style="line-height:11
 5%\;"><span style="font-family:Aptos\, sans-serif\
 ;"><b><span style="font-size:10pt\;"><span style="
 line-height:115%\;"><span style="font-family:Calib
 ri\, sans-serif\;">Target Audience</span></span></
 span></b></span></span></span></p>\n \n <p style="
 margin-bottom:8px\;"><span style="font-size:12pt\;
 "><span style="line-height:115%\;"><span style="fo
 nt-family:Aptos\, sans-serif\;"><span style="font-
 size:10pt\;"><span style="line-height:115%\;"><spa
 n style="font-family:Calibri\, sans-serif\;">This 
 webinar is designed for professionals across the P
 harmaceutical\, Diagnostics\, and Medical Devices 
 sectors\, particularly those working in Market Res
 earch and Insights\, fieldwork operations\, Compli
 ance and roles responsible for safeguarding data i
 ntegrity and respondent quality.</span></span></sp
 an></span></span></span></p>\n \n <p style="margin
 -bottom:8px\;"> </p>\n \n <p style="margin-bottom:
 8px\;"><span style="font-size:12pt\;"><span style=
 "line-height:115%\;"><span style="font-family:Apto
 s\, sans-serif\;"><b><span style="font-size:10pt\;
 "><span style="line-height:115%\;"><span style="fo
 nt-family:Calibri\, sans-serif\;">Key Takeaways fo
 r Attendees</span></span></span></b></span></span>
 </span></p>\n \n <ul>\n 	<li style="margin-bottom:
 8px\;margin-left:8px\;"><span style="font-size:12p
 t\;"><span style="line-height:115%\;"><span style=
 "font-family:Aptos\, sans-serif\;"><span style="fo
 nt-size:10pt\;"><span style="line-height:115%\;"><
 span style="font-family:Calibri\, sans-serif\;">Un
 derstand how AI is reshaping fraud risks in health
 care and pharmaceutical market research\, and why 
 synthetic respondents are becoming increasingly di
 fficult to detect.</span></span></span></span></sp
 an></span></li>\n 	<li style="margin-bottom:8px\;m
 argin-left:8px\;"><span style="font-size:12pt\;"><
 span style="line-height:115%\;"><span style="font-
 family:Aptos\, sans-serif\;"><span style="font-siz
 e:10pt\;"><span style="line-height:115%\;"><span s
 tyle="font-family:Calibri\, sans-serif\;">Gain pra
 ctical\, industry‑ready techniques to identify and
  mitigate AI‑assisted fraud\, protecting data qual
 ity and ensuring trustworthy insight generation.</
 span></span></span></span></span></span></li>\n 	<
 li style="margin-bottom:8px\;margin-left:8px\;"><s
 pan style="font-size:12pt\;"><span style="line-hei
 ght:115%\;"><span style="font-family:Aptos\, sans-
 serif\;"><span style="font-size:10pt\;"><span styl
 e="line-height:115%\;"><span style="font-family:Ca
 libri\, sans-serif\;">Learn how AI can enhance—rat
 her than compromise—compliance and quality\, turni
 ng advanced detection and monitoring tools into a 
 strategic advantage.</span></span></span></span></
 span></span></li>\n 	<li style="margin-bottom:8px\
 ;margin-left:8px\;"><span style="font-size:12pt\;"
 ><span style="line-height:115%\;"><span style="fon
 t-family:Aptos\, sans-serif\;"><span style="font-s
 ize:10pt\;"><span style="line-height:115%\;"><span
  style="font-family:Calibri\, sans-serif\;">Leave 
 with a forward‑looking view of how AI will continu
 e to shape data integrity\, quality standards\, an
 d fraud prevention in market research.</span></spa
 n></span></span></span></span></li>\n </ul>\n \n <
 p style="margin-bottom:8px\;margin-left:8px\;"><st
 rong>Speakers:</strong> <span style="font-size:12p
 t\;"><span style="line-height:115%\;"><span style=
 "font-family:Aptos\, sans-serif\;"><span lang="it"
  style="font-size:10pt\;" xml:lang="it"><span styl
 e="line-height:115%\;"><span style="font-family:Ca
 libri\, sans-serif\;">Mo Rice\, Konovo and Matteo 
 Scaringi\, M3 GR </span></span></span></span></spa
 n></span></p>\n \n <p style="margin-bottom:8px\;ma
 rgin-left:8px\;"><span style="font-size:12pt\;"><s
 pan style="line-height:115%\;"><span style="font-f
 amily:Aptos\, sans-serif\;"><span style="font-size
 :10pt\;"><span style="line-height:115%\;"><span st
 yle="font-family:Calibri\, sans-serif\;"><strong>C
 onvenor:</strong> Georgina Butcher\, EPHMRA Ethics
  Consultant</span></span></span></span></span></sp
 an></p></body></html>
DESCRIPTION:The webinar will cover:\n \n \n \n \n 	Unmask the 
 Invisible Threat: Discover how AI is reshaping fra
 ud in pharma research and what it takes to stay ah
 ead of increasingly sophisticated synthetic respon
 dents.\n 	From Risk to Resilience: Learn the lates
 t industry‑ready techniques to detect AI‑assisted 
 fraud\, safeguard data integrity and protect the c
 redibility of your insights.\n 	AI\, The Problem a
 nd the Solution: See how cutting‑edge AI tools can
  strengthen compliance\, elevate data quality\, an
 d turn fraud prevention into a competitive advanta
 ge.\n \n \n Target Audience\n \n \n \n This webina
 r is designed for professionals across the Pharmac
 eutical\, Diagnostics\, and Medical Devices sector
 s\, particularly those working in Market Research 
 and Insights\, fieldwork operations\, Compliance a
 nd roles responsible for safeguarding data integri
 ty and respondent quality.\n \n \n \n  \n \n \n \n
  Key Takeaways for Attendees\n \n \n \n \n 	Unders
 tand how AI is reshaping fraud risks in healthcare
  and pharmaceutical market research\, and why synt
 hetic respondents are becoming increasingly diffic
 ult to detect.\n 	Gain practical\, industry‑ready 
 techniques to identify and mitigate AI‑assisted fr
 aud\, protecting data quality and ensuring trustwo
 rthy insight generation.\n 	Learn how AI can enhan
 ce—rather than compromise—compliance and quality\,
  turning advanced detection and monitoring tools i
 nto a strategic advantage.\n 	Leave with a forward
 ‑looking view of how AI will continue to shape dat
 a integrity\, quality standards\, and fraud preven
 tion in market research.\n \n \n Speakers: Mo Rice
 \, Konovo and Matteo Scaringi\, M3 GR \n \n \n \n 
 Convenor: Georgina Butcher\, EPHMRA Ethics Consult
 ant\n \n 
CATEGORIES:Webinar
CALSCALE:GREGORIAN
DTSTAMP;TZID=Europe/London:20260603T140000
DTSTART;TZID=Europe/London:20260603T140000
DTEND;TZID=Europe/London:20260603T143000
LOCATION:Online Event\n 
URL:https://www.ephmra.org/civicrm/event/info?reset=1&id=96
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